{
  "$schema": "https://tools.supremebrain.com/api/v1/schema.json",
  "generated_at": "2026-10-22T20:09:41.267Z",
  "name": "SupremeBrain agentic tooling index",
  "description": "A small, verified index of agentic AI tools for builders. Every entry is sourced and dated, and removals are published.",
  "licence": "Editorial use. Attribution appreciated; see /about/ for terms.",
  "editorial_note": "Researched and built with AI tools, reviewed by human editor(s). Verification dates are stated per entry; treat anything older than 90 days as stale.",
  "counts": {
    "active": 30,
    "removed_or_deprecated": 5,
    "categories": 3
  },
  "categories": [
    {
      "slug": "frameworks",
      "name": "Agent frameworks & orchestration",
      "description": "Libraries and platforms for building multi-step autonomous agents - the layer where you define what an agent can do, and when it stops.",
      "url": "https://tools.supremebrain.com/categories/frameworks/",
      "active_count": 9
    },
    {
      "slug": "mcp",
      "name": "MCP servers & connectors",
      "description": "Model Context Protocol servers and tool-connector products that give an agent real capability: repositories, databases, browsers, infrastructure, payments.",
      "url": "https://tools.supremebrain.com/categories/mcp/",
      "active_count": 11
    },
    {
      "slug": "operations",
      "name": "Agent operations",
      "description": "Running agents in production: tracing and observability, evaluation and red-teaming, sandboxed execution, and hosting.",
      "url": "https://tools.supremebrain.com/categories/operations/",
      "active_count": 10
    }
  ],
  "tools": [
    {
      "slug": "langgraph",
      "name": "LangGraph",
      "url": "https://tools.supremebrain.com/tools/langgraph/",
      "homepage": "https://www.langchain.com/langgraph",
      "category": "frameworks",
      "summary": "An open-source framework and runtime from LangChain for building stateful agents as graphs that mix deterministic code with LLM-driven steps. Provides durable execution, persistence, human-in-the-loop interrupts, streaming and memory.",
      "who_for": "Teams building production multi-step agents that need explicit control over state, persistence and human review.",
      "pricing": "Framework free and open source (MIT). Companion LangSmith platform is a separate paid service.",
      "key_facts": [
        "Python and JavaScript/TypeScript",
        "MIT licence",
        "Durable execution with checkpointing",
        "Human-in-the-loop interrupts; short- and long-term memory",
        "Graph execution model inspired by Pregel and Apache Beam"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": null,
      "sources": [
        "https://langchain-ai.github.io/langgraph/",
        "https://github.com/langchain-ai/langgraph"
      ]
    },
    {
      "slug": "crewai",
      "name": "CrewAI",
      "url": "https://tools.supremebrain.com/tools/crewai/",
      "homepage": "https://www.crewai.com",
      "category": "frameworks",
      "summary": "An open-source Python framework for orchestrating teams of agents that each hold a role, goal, backstory and tools, executing through sequential or hierarchical Crews and event-driven Flows. A separate commercial platform (CrewAI AMP) adds a visual editor and governance.",
      "who_for": "Builders who want role-based multi-agent teams and event-driven workflows in Python, from solo developers to enterprises.",
      "pricing": "Framework free and open source (MIT). Platform freemium: Basic $0 (50 workflow executions/month); Enterprise custom.",
      "key_facts": [
        "Python (3.10-3.13)",
        "MIT licence",
        "Role-based Crews with sequential or hierarchical processes",
        "Flows for event-driven, stateful control",
        "AMP platform adds visual Studio editor, MCP export, SSO/RBAC"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "No self-serve paid tier between Basic and Enterprise. Model API costs are separate.",
      "sources": [
        "https://www.crewai.com/pricing",
        "https://docs.crewai.com/",
        "https://github.com/crewAIInc/crewAI"
      ]
    },
    {
      "slug": "microsoft-agent-framework",
      "name": "Microsoft Agent Framework",
      "url": "https://tools.supremebrain.com/tools/microsoft-agent-framework/",
      "homepage": "https://github.com/microsoft/agent-framework",
      "category": "frameworks",
      "summary": "Microsoft's unified agent SDK and the designated successor to both AutoGen and Semantic Kernel, reaching 1.0 GA on 3 April 2026. Combines AutoGen's multi-agent abstractions with Semantic Kernel's enterprise connectors and observability, adding typed graph-based workflows.",
      "who_for": "Teams building multi-agent systems on the Microsoft/.NET/Azure stack, and anyone on AutoGen or Semantic Kernel planning a migration.",
      "pricing": "Free and open source (MIT). Model and cloud usage billed separately.",
      "key_facts": [
        "Python and C#/.NET, with Go support still catching up",
        "MIT licence",
        "1.0 GA on 3 April 2026",
        "Native MCP and A2A interoperability; declarative YAML workflows",
        "Migration assistants published for both AutoGen and Semantic Kernel"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Predecessors remain usable but frozen - see the AutoGen and Semantic Kernel entries in this index.",
      "sources": [
        "https://github.com/microsoft/agent-framework",
        "https://www.langchain.com/resources/ai-agent-frameworks",
        "https://agentshield.ai/use-cases/microsoft-agent-framework-security",
        "https://managed-code.com/blog-post/building-ai-agents-with-csharp-dotnet"
      ]
    },
    {
      "slug": "openai-agents-sdk",
      "name": "OpenAI Agents SDK",
      "url": "https://tools.supremebrain.com/tools/openai-agents-sdk/",
      "homepage": "https://openai.github.io/openai-agents-python/",
      "category": "frameworks",
      "summary": "OpenAI's lightweight open-source framework built from a small set of primitives: Agents, Handoffs, Guardrails, plus Sessions memory and built-in tracing. A production-ready successor to the earlier Swarm experiment.",
      "who_for": "Teams wanting a minimal multi-agent framework without heavy abstractions, with provider-agnostic model support.",
      "pricing": "Framework free and open source (MIT). Model API usage billed separately.",
      "key_facts": [
        "Python 3.10+ with an official JavaScript/TypeScript SDK",
        "MIT licence",
        "Primitives: Agents, handoffs, guardrails, sessions",
        "Provider-agnostic: OpenAI Responses and Chat Completions plus 100+ other models",
        "Still pre-1.0 (v0.x) as of October 2026"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Version remains pre-1.0, so expect breaking changes between minor releases.",
      "sources": [
        "https://openai.github.io/openai-agents-python/",
        "https://github.com/openai/openai-agents-python"
      ]
    },
    {
      "slug": "llamaindex",
      "name": "LlamaIndex",
      "url": "https://tools.supremebrain.com/tools/llamaindex/",
      "homepage": "https://www.llamaindex.ai",
      "category": "frameworks",
      "summary": "An open-source Python framework for building RAG and agentic applications over private data, with connectors, indexes, query engines, agents and event-driven Workflows. Companion commercial services LlamaParse and LlamaCloud add document parsing and managed retrieval.",
      "who_for": "Builders grounding agents in their own documents, databases and APIs, and teams dealing with hard-to-parse documents.",
      "pricing": "Framework free and open source (MIT). LlamaParse/LlamaCloud offers a free tier; paid prices not stated.",
      "key_facts": [
        "Python 3.10+",
        "MIT licence",
        "300+ integration packages (vector stores, LLMs, readers, tools)",
        "Event-driven Workflows; FunctionAgent and multi-agent AgentWorkflow",
        "LlamaParse handles agentic OCR and structured extraction"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "LlamaCloud paid tier pricing is not published on the pages checked.",
      "sources": [
        "https://docs.llamaindex.ai/en/stable/",
        "https://github.com/run-llama/llama_index"
      ]
    },
    {
      "slug": "pydantic-ai",
      "name": "Pydantic AI",
      "url": "https://tools.supremebrain.com/tools/pydantic-ai/",
      "homepage": "https://ai.pydantic.dev",
      "category": "frameworks",
      "summary": "A model-agnostic Python agent framework from the Pydantic team, built for type-safe agents with validated structured outputs, function tools, dependency injection and graph-based control flow. Reached 1.0 in September 2025.",
      "who_for": "Python developers who want validated, structured agent outputs across many model providers with low boilerplate.",
      "pricing": "Framework free and open source (MIT). Companion Pydantic Logfire observability is freemium: free Personal, $49/mo Team, $249/mo Growth, custom Enterprise.",
      "key_facts": [
        "Python",
        "MIT licence",
        "Typed structured outputs, tools, dependencies and hooks",
        "Model-agnostic: OpenAI, Anthropic, Gemini, Bedrock, Cohere, Mistral, Groq",
        "Includes MCP client/server, Pydantic Graph, Pydantic Evals and durable-execution integrations"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "The paid pricing on pydantic.dev applies to Logfire and the AI Gateway, not the framework.",
      "sources": [
        "https://ai.pydantic.dev/",
        "https://pydantic.dev/pricing",
        "https://github.com/pydantic/pydantic-ai"
      ]
    },
    {
      "slug": "mastra",
      "name": "Mastra",
      "url": "https://tools.supremebrain.com/tools/mastra/",
      "homepage": "https://mastra.ai",
      "category": "frameworks",
      "summary": "An open-source TypeScript framework for agents, durable typed workflows, RAG, memory, MCP, evals and observability, built by the team behind Gatsby. A commercial platform adds hosted deployment, a visual Studio and enterprise controls.",
      "who_for": "TypeScript/JavaScript teams building production agents who want a batteries-included framework with an optional hosted platform.",
      "pricing": "Core free (Apache-2.0; enterprise directories require a commercial licence). Cloud freemium: Starter $0/mo (100K observability events, 24 CPU hrs), Teams $250/mo, Enterprise custom.",
      "key_facts": [
        "TypeScript/JavaScript",
        "Core Apache-2.0, with commercially licensed enterprise directories",
        "Durable typed workflows, agents, RAG, memory, evals, MCP",
        "Model router covering thousands of models",
        "Teams plan includes SSO and SOC 2 documentation"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Dual licence: Apache-2.0 covers the core only. Cloud overages are metered separately.",
      "sources": [
        "https://mastra.ai/pricing",
        "https://github.com/mastra-ai/mastra"
      ]
    },
    {
      "slug": "dspy",
      "name": "DSPy",
      "url": "https://tools.supremebrain.com/tools/dspy/",
      "homepage": "https://dspy.ai",
      "category": "frameworks",
      "summary": "An open-source Python framework from Stanford NLP for programming rather than prompting language models: you declare typed Signatures and use Modules and Optimizers to compile programs against a metric. Actively developed (v3.4.1, October 2026).",
      "who_for": "Teams who want to optimise prompts and pipelines systematically and testably, rather than hand-tuning them.",
      "pricing": "Free and open source (MIT). Model API costs billed separately.",
      "key_facts": [
        "Python 3.10+",
        "MIT licence",
        "Signatures, Modules and Optimizers (e.g. GEPA) for automatic prompt compilation",
        "Supports tool use and multi-step agents (e.g. ReAct)",
        "v3.4.1 released 12 October 2026"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "No commercial tier or hosted platform.",
      "sources": [
        "https://dspy.ai/current/",
        "https://github.com/stanfordnlp/dspy"
      ]
    },
    {
      "slug": "google-adk",
      "name": "Google Agent Development Kit (ADK)",
      "url": "https://tools.supremebrain.com/tools/google-adk/",
      "homepage": "https://adk.dev",
      "category": "frameworks",
      "summary": "Google's open-source, code-first framework for building, evaluating and deploying agents, covering single agents through multi-agent and graph-based workflows. Optimised for Gemini but model- and deployment-agnostic.",
      "who_for": "Teams in or near the Google/Gemini ecosystem who want a multi-language framework with built-in evaluation and one-command deployment to Google Cloud.",
      "pricing": "Free and open source (Apache-2.0). Gemini and Google Cloud usage billed separately.",
      "key_facts": [
        "Python, TypeScript, Go, Java and Kotlin",
        "Apache-2.0 licence",
        "Graph-based workflows introduced in ADK 2.0",
        "Deploys to Agent Runtime, Cloud Run or GKE, or self-hosted",
        "Agents CLI, evaluation tooling and A2A/MCP support"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": null,
      "sources": [
        "https://adk.dev/",
        "https://github.com/google/adk-docs"
      ]
    },
    {
      "slug": "autogen",
      "name": "AutoGen",
      "url": "https://tools.supremebrain.com/tools/autogen/",
      "homepage": "https://github.com/microsoft/autogen",
      "category": "frameworks",
      "summary": "Microsoft's conversational multi-agent framework. It entered maintenance mode in October 2025 and receives only critical bug and security fixes; Microsoft directs new and existing users to Microsoft Agent Framework.",
      "who_for": "Existing AutoGen deployments. Not recommended for new projects.",
      "pricing": "Free and open source (MIT).",
      "key_facts": [
        "Maintenance mode since October 2025",
        "No new features or enhancements; community managed",
        "Receives critical bug and security fixes only",
        "Microsoft publishes an AutoGen to Agent Framework migration guide",
        "Migration is harder than from Semantic Kernel: the programming model moves from conversation-centric to graph-based"
      ],
      "status": "deprecated",
      "status_changed": "2025-10",
      "removal_reason": "Microsoft moved it to maintenance mode when Agent Framework 1.0 shipped. Still installable and still widely used, but it will never gain the orchestration features that landed in the successor.",
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Reported by Microsoft as maintenance mode rather than formally archived; migrate to Microsoft Agent Framework.",
      "sources": [
        "https://www.langchain.com/resources/langchain-vs-autogen",
        "https://github.com/microsoft/autogen",
        "https://agentshield.ai/use-cases/microsoft-agent-framework-security"
      ]
    },
    {
      "slug": "semantic-kernel",
      "name": "Semantic Kernel",
      "url": "https://tools.supremebrain.com/tools/semantic-kernel/",
      "homepage": "https://github.com/microsoft/semantic-kernel",
      "category": "frameworks",
      "summary": "Microsoft's enterprise LLM orchestration SDK for .NET and Python. Now in maintenance mode following Microsoft Agent Framework 1.0, receiving critical bug fixes for at least one year after that GA, with new feature investment directed elsewhere.",
      "who_for": "Existing Semantic Kernel deployments holding steady before migrating.",
      "pricing": "Free and open source (MIT).",
      "key_facts": [
        "Maintenance mode since Agent Framework 1.0 (3 April 2026)",
        "Critical bug and security fixes for at least one year post-GA",
        "No new features",
        "Migration path published; a compatibility shim converts existing KernelFunction instances",
        "Namespaces move to Microsoft.Agents.AI under the successor"
      ],
      "status": "deprecated",
      "status_changed": "2026-04",
      "removal_reason": "Superseded by Microsoft Agent Framework, which shipped 1.0 on 3 April 2026 and absorbed it. Still runs; no longer receives features.",
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Migration is structurally straightforward - the plugin model, connectors and kernel concepts map across.",
      "sources": [
        "https://agentshield.ai/use-cases/microsoft-agent-framework-security",
        "https://managed-code.com/blog-post/building-ai-agents-with-csharp-dotnet",
        "https://www.langchain.com/resources/ai-agent-frameworks"
      ]
    },
    {
      "slug": "github-mcp-server",
      "name": "GitHub MCP Server",
      "url": "https://tools.supremebrain.com/tools/github-mcp-server/",
      "homepage": "https://github.com/github/github-mcp-server",
      "category": "mcp",
      "summary": "GitHub's official MCP server exposing repository, issue, pull request, file, code-search and workflow actions to MCP clients. Runs locally over stdio, supports a Streamable HTTP mode, and is also hosted remotely by GitHub.",
      "who_for": "Builders using AI coding assistants who want agents to read and act on their GitHub repositories, issues and PRs.",
      "pricing": "Free, MIT-licensed. Some richer toolsets require a GitHub Copilot subscription; code-scanning tools require Advanced Security.",
      "key_facts": [
        "Transport: local stdio, plus a Streamable HTTP mode",
        "Auth: GitHub PAT or OAuth locally; Copilot account for the hosted server",
        "Configurable toolsets for repos, issues, PRs, files, code search and workflows",
        "Written in Go; MIT licence",
        "Actively released (v2.0.x, October 2026)"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": null,
      "sources": [
        "https://github.com/github/github-mcp-server",
        "https://docs.github.com/en/copilot/concepts/context/mcp"
      ]
    },
    {
      "slug": "gitlab-mcp-server",
      "name": "GitLab MCP Server",
      "url": "https://tools.supremebrain.com/tools/gitlab-mcp-server/",
      "homepage": "https://docs.gitlab.com/user/model_context_protocol/mcp_server/",
      "category": "mcp",
      "summary": "GitLab's built-in MCP server connecting external agents to projects, issues, merge requests, pipelines and work items. Generally available since GitLab 19.5 across all editions including Self-Managed and Dedicated.",
      "who_for": "Teams on GitLab.com, Self-Managed or Dedicated who want agents to run GitLab workflows under existing user permissions.",
      "pricing": "Included with all GitLab tiers at no extra cost. On GitLab.com, rate limits are 60 calls/min on Free and 600 on Premium/Ultimate.",
      "key_facts": [
        "Transport: HTTP at the instance API MCP path (recommended); stdio via the mcp-remote proxy",
        "Auth: OAuth 2.0 Dynamic Client Registration; actions run under the connected user's permissions",
        "Covers repositories, issues, merge requests, pipelines and work items",
        "Generally available across GitLab.com, Self-Managed and Dedicated"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": null,
      "sources": [
        "https://docs.gitlab.com/user/model_context_protocol/mcp_server/",
        "https://about.gitlab.com/blog/mcp-server-ga/"
      ]
    },
    {
      "slug": "playwright-mcp",
      "name": "Playwright MCP",
      "url": "https://tools.supremebrain.com/tools/playwright-mcp/",
      "homepage": "https://playwright.dev/docs/getting-started-mcp",
      "category": "mcp",
      "summary": "Playwright's official MCP server giving agents real browser control through structured accessibility snapshots rather than pixels, so no vision model is required. Tools cover navigation, snapshots, clicking, typing and network inspection.",
      "who_for": "Builders who want an assistant to drive a live browser for interaction testing or to generate Playwright tests.",
      "pricing": "Free and open source. Requires Node.js 20+ and a Chromium install.",
      "key_facts": [
        "Transport: local stdio, launched via the Playwright MCP package",
        "Auth: none - operates a local browser",
        "Works on the accessibility tree, returning structured element snapshots",
        "Compatible with any MCP client (VS Code, Cursor, Windsurf, Claude)",
        "A hosted remote variant exists but is in preview, not production"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "The hosted Playwright Workspaces remote variant is in preview.",
      "sources": [
        "https://playwright.dev/docs/getting-started-mcp",
        "https://learn.microsoft.com/en-us/azure/app-testing/playwright-cloud-browsers/how-to-playwright-workspaces-remote-mcp"
      ]
    },
    {
      "slug": "browserbase-mcp",
      "name": "Browserbase MCP",
      "url": "https://tools.supremebrain.com/tools/browserbase-mcp/",
      "homepage": "https://www.browserbase.com/mcp",
      "category": "mcp",
      "summary": "An MCP server that gives any client a cloud browser, built on Browserbase and Stagehand so agents can act on pages in natural language. Offers a hosted Streamable HTTP endpoint and a self-hostable stdio version.",
      "who_for": "Builders needing unattended, parallel or anti-bot-resistant web automation without running browsers locally.",
      "pricing": "Requires a Browserbase API key on a paid plan. Specific rates not stated on the pages checked.",
      "key_facts": [
        "Transport: hosted Streamable HTTP at mcp.browserbase.com/mcp; local stdio also supported",
        "Auth: Browserbase API key passed on the endpoint",
        "Session-lifecycle tools: start, end, navigate, act, observe, extract",
        "Built on Stagehand for natural-language control",
        "Optional verified browser access for sites that block headless traffic"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Requires an active paid account; usage rates not verified.",
      "sources": [
        "https://www.browserbase.com/mcp",
        "https://docs.browserbase.com/integrations/mcp/introduction"
      ]
    },
    {
      "slug": "supabase-mcp",
      "name": "Supabase MCP",
      "url": "https://tools.supremebrain.com/tools/supabase-mcp/",
      "homepage": "https://supabase.com/docs/guides/ai-tools/mcp",
      "category": "mcp",
      "summary": "Supabase's official hosted MCP server connecting assistants to Supabase projects to manage tables, run SQL, handle migrations and branches, fetch configuration and read logs. Exposes 20+ tools in configurable feature groups.",
      "who_for": "Builders on Supabase who want agents to operate on their database, schema, branches and functions directly.",
      "pricing": "Free to connect using a Supabase account; no MCP-specific fee. Standard Supabase plan applies to underlying resources.",
      "key_facts": [
        "Transport: hosted HTTP, or locally via the Supabase CLI",
        "Auth: OAuth with dynamic client registration",
        "Tools for tables, migrations, SQL, branches, config, TypeScript types and logs",
        "Feature groups configurable; all except Storage enabled by default",
        "A self-hostable package exists for running the tools over HTTP"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": null,
      "sources": [
        "https://supabase.com/docs/guides/ai-tools/mcp",
        "https://github.com/supabase/mcp"
      ]
    },
    {
      "slug": "cloudflare-mcp",
      "name": "Cloudflare API MCP Server",
      "url": "https://tools.supremebrain.com/tools/cloudflare-mcp/",
      "homepage": "https://developers.cloudflare.com/agents/model-context-protocol/cloudflare/servers-for-cloudflare/",
      "category": "mcp",
      "summary": "Cloudflare's managed remote MCP server providing access to the wider Cloudflare API across DNS, Workers, R2 and Zero Trust, plus developer documentation. Uses a search-and-execute pattern where the model writes code against the API schema, run in an isolated sandbox.",
      "who_for": "Builders who want agents to manage Cloudflare infrastructure from an AI client.",
      "pricing": "Requires a Cloudflare account via OAuth. MCP access is free on top of an existing Cloudflare plan.",
      "key_facts": [
        "Transport: remote Streamable HTTP at mcp.cloudflare.com/mcp",
        "Auth: OAuth with scoped permission grants and step-up authorisation",
        "Exposes search and execute over the API schema, plus a documentation tool",
        "Generated code runs in an isolated sandbox",
        "Also serves Cloudflare skills over the Skills-over-MCP extension"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Underlying Cloudflare plan pricing not stated on the pages checked.",
      "sources": [
        "https://developers.cloudflare.com/agents/model-context-protocol/cloudflare/servers-for-cloudflare/",
        "https://developers.cloudflare.com/cloudflare-one/access-controls/ai-controls/secure-mcp-servers/"
      ]
    },
    {
      "slug": "aws-mcp-servers",
      "name": "AWS MCP Servers",
      "url": "https://tools.supremebrain.com/tools/aws-mcp-servers/",
      "homepage": "https://github.com/awslabs/mcp",
      "category": "mcp",
      "summary": "AWS's suite of roughly 50 open-source MCP servers, each scoped to one service or workflow such as CDK, Serverless/SAM, EKS, ECS, Bedrock Knowledge Bases and cost analysis. AWS also offers managed successors including a free AWS Knowledge MCP Server for documentation.",
      "who_for": "AWS builders who want coding agents to build or deploy infrastructure, or query AWS documentation, under their own credentials.",
      "pricing": "Open-source servers are free; you pay for the underlying AWS services used. Managed AWS servers bill through AWS.",
      "key_facts": [
        "Transport: local stdio for open-source servers; managed remote servers use Streamable HTTP",
        "Auth: AWS credentials via profile/region for open-source servers; SigV4 signing for managed servers",
        "Covers CDK/IaC, Serverless, EKS, ECS, Bedrock retrieval, cost analysis and docs search",
        "A managed Agent Toolkit for AWS is the GA successor steering new production builds",
        "The open-source awslabs/mcp repository remains active"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "medium",
      "notes": "The product surface is split between the open-source monorepo and the managed Agent Toolkit; catalogue contents change frequently.",
      "sources": [
        "https://aws.amazon.com/blogs/machine-learning/introducing-aws-mcp-servers-for-code-assistants-part-1/",
        "https://github.com/awslabs/mcp"
      ]
    },
    {
      "slug": "stripe-mcp",
      "name": "Stripe MCP",
      "url": "https://tools.supremebrain.com/tools/stripe-mcp/",
      "homepage": "https://docs.stripe.com/mcp",
      "category": "mcp",
      "summary": "Stripe's remote MCP server exposing payment API tools and knowledge-base search so agents can read and write Stripe data and run analytics. Authenticates via OAuth for interactive clients or dedicated agent keys for persistent agents.",
      "who_for": "Builders whose agents need to query or modify payment data, handle customers, or generate reports inside Stripe.",
      "pricing": "Free with a Stripe account; standard Stripe transaction fees and plan pricing apply.",
      "key_facts": [
        "Transport: remote HTTP at mcp.stripe.com",
        "Auth: OAuth for interactive clients, or agent API keys for persistent agents",
        "Tools for API search, read and write plus analytics and reporting",
        "Includes knowledge-base search over docs and support articles",
        "Works with Cursor, VS Code, Claude Code, Windsurf, ChatGPT and others"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Underlying Stripe fees apply; no separate MCP pricing published.",
      "sources": [
        "https://docs.stripe.com/mcp",
        "https://marketplace.stripe.com/apps/stripe-mcp"
      ]
    },
    {
      "slug": "sentry-mcp",
      "name": "Sentry MCP",
      "url": "https://tools.supremebrain.com/tools/sentry-mcp/",
      "homepage": "https://mcp.sentry.dev/",
      "category": "mcp",
      "summary": "Sentry's hosted MCP server connecting assistants to Sentry for error search, performance analysis, issue triage, documentation and project management. All connections use OAuth and endpoints can be scoped to an organisation or project.",
      "who_for": "Builders who want agents to triage and trace application errors and performance data from Sentry.",
      "pricing": "Uses an existing Sentry account; Sentry offers a free tier with paid plans for higher volume. No separate MCP fee.",
      "key_facts": [
        "Transport: remote HTTP at mcp.sentry.dev/mcp",
        "Auth: OAuth, triggered on first connection",
        "Scopable endpoints by organisation and project slug",
        "Tools for error search, performance analysis, triage, docs and project management",
        "Distinct from Sentry's MCP Monitoring SDK, which instruments your own servers"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Do not confuse the agent-facing Sentry MCP server with Sentry's MCP Monitoring product.",
      "sources": [
        "https://mcp.sentry.dev/",
        "https://docs.sentry.io/product/mcp-servers/"
      ]
    },
    {
      "slug": "composio-connect",
      "name": "Composio Connect",
      "url": "https://tools.supremebrain.com/tools/composio-connect/",
      "homepage": "https://docs.composio.dev/docs/composio-connect",
      "category": "mcp",
      "summary": "A hosted MCP aggregator giving any MCP client access to 1,000+ apps through a single connection. Rather than exposing every app tool directly, it presents a small set of meta-tools for discovery, on-demand OAuth authorisation and parallel execution.",
      "who_for": "Builders who want one hosted endpoint bridging many SaaS tools without self-hosting individual connectors.",
      "pricing": "Composio platform pricing (freemium plus paid plans). MCP-tier pricing not stated on the pages checked.",
      "key_facts": [
        "Transport: hosted HTTP at connect.composio.dev/mcp",
        "Auth: on-demand OAuth per app, approved by the user in a browser",
        "Meta-tool design rather than exposing every app tool directly",
        "Per-session hosted endpoints available for user-scoped access",
        "Legacy standalone MCP API endpoints are deprecated in favour of sessions"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Aggregators are the layer most exposed to churn - verify the app list before depending on a specific connector.",
      "sources": [
        "https://docs.composio.dev/docs/composio-connect",
        "https://docs.composio.dev/docs/sessions-via-mcp.md"
      ]
    },
    {
      "slug": "filesystem-mcp",
      "name": "Filesystem MCP",
      "url": "https://tools.supremebrain.com/tools/filesystem-mcp/",
      "homepage": "https://www.npmjs.com/package/@modelcontextprotocol/server-filesystem",
      "category": "mcp",
      "summary": "The official reference MCP filesystem server, giving agents read and write access restricted to explicitly allowed directories. Exposes tools for reading, writing, editing, moving, listing and searching files, rejecting paths outside the allowed set.",
      "who_for": "Builders who want coding agents to work on local files safely within an explicitly allowed set of directories.",
      "pricing": "Free and open source.",
      "key_facts": [
        "Transport: stdio, launched from the filesystem server package with allowed directories",
        "Auth: none - the allowed-directory list is the sole access control",
        "Rejects parent-directory and symlink escapes",
        "Write operations are enabled by default; read-only requires a container mounted read-only",
        "Maintained in the modelcontextprotocol/servers repository"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Write operations are on by default - scope allowed directories carefully or mount read-only.",
      "sources": [
        "https://www.npmjs.com/package/@modelcontextprotocol/server-filesystem",
        "https://github.com/modelcontextprotocol/servers"
      ]
    },
    {
      "slug": "postgres-reference-mcp",
      "name": "Postgres MCP (reference server)",
      "url": "https://tools.supremebrain.com/tools/postgres-reference-mcp/",
      "homepage": "https://www.npmjs.com/package/@modelcontextprotocol/server-postgres",
      "category": "mcp",
      "summary": "The Model Context Protocol project's reference PostgreSQL server, exposing database schema as resources and a read-only query tool. It is archived, deprecated on npm, and carries a published SQL-injection weakness in the read-only guard.",
      "who_for": "Nobody starting fresh. Listed here because it remains one of the most-installed database MCP servers and is routinely recommended by other directories.",
      "pricing": "Free and open source (MIT).",
      "key_facts": [
        "Archived by the MCP project in May 2025; marked deprecated on npm in July 2025",
        "Last release 0.6.2, published December 2024",
        "Archived repository states no security guarantees are provided",
        "Datadog Security Labs documented a stacked-query SQL injection: a payload can COMMIT out of the read-only transaction and then run in autocommit",
        "Still downloaded roughly 500,000 times a month as of August 2026"
      ],
      "status": "deprecated",
      "status_changed": "2025-05",
      "removal_reason": "Archived and deprecated, with an unpatched read-only-bypass SQL injection. It holds live database credentials and still installs half a million times a month, which is precisely why dead entries need to be marked rather than merely counted.",
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "The npm deprecation notice is generic and names no replacement or security status.",
      "sources": [
        "https://www.npmjs.com/package/@modelcontextprotocol/server-postgres",
        "https://github.com/modelcontextprotocol/servers-archived",
        "https://yaw.sh/blog/deprecated-postgres-mcp-sqli/",
        "https://github.com/modelcontextprotocol/servers/issues/4785",
        "https://datamcp.app/blog/modelcontextprotocol-server-postgres-deprecated"
      ]
    },
    {
      "slug": "langsmith",
      "name": "LangSmith",
      "url": "https://tools.supremebrain.com/tools/langsmith/",
      "homepage": "https://www.langchain.com/langsmith",
      "category": "operations",
      "summary": "LangChain's framework-agnostic observability and evaluation platform for LLM applications and agents, providing run tracing, dashboards, prompt management and automated evals. Offers managed cloud, bring-your-own-cloud and self-hosted options.",
      "who_for": "Teams debugging agents in production who want tracing plus evaluation and monitoring in one place.",
      "pricing": "Usage-based: Developer $0/seat/mo (about 5,000 base traces, 1 seat); Plus $39/seat/mo (about 10,000 base traces, 14-day retention); Enterprise custom.",
      "key_facts": [
        "Closed-source hosted platform owned by LangChain",
        "Captures every model call and tool use as a trace tree",
        "Framework-agnostic: OpenAI and Anthropic SDKs, Vercel AI SDK, LlamaIndex, plus OpenTelemetry ingestion",
        "SDKs for Python, TypeScript, Go and Java",
        "Self-hosted and bring-your-own-cloud deployment available"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "medium",
      "notes": "Trace overage rates verified only to plan level; confirm exact per-trace billing before committing.",
      "sources": [
        "https://www.langchain.com/langsmith",
        "https://www.datacamp.com/blog/langfuse-vs-langsmith"
      ]
    },
    {
      "slug": "langfuse",
      "name": "Langfuse",
      "url": "https://tools.supremebrain.com/tools/langfuse/",
      "homepage": "https://langfuse.com/",
      "category": "operations",
      "summary": "An open-source (MIT) agent evaluation and observability platform covering tracing, prompt management, datasets, experiments and evals, with a free self-hostable core. OpenTelemetry-native with 100+ integrations.",
      "who_for": "Engineering teams that want a self-hostable observability and eval platform with full data control.",
      "pricing": "Hobby free (50k units/mo, 2 users); Core $29/mo (100k units, unlimited users); Pro $199/mo; Enterprise $2,499/mo. Self-hosted core is free.",
      "key_facts": [
        "Acquired by ClickHouse on 16 January 2026; still actively developed",
        "MIT licensed, with all core features self-hostable",
        "OpenTelemetry-native (OTLP ingest) with 100+ integrations",
        "Built on ClickHouse, which it already used before the acquisition",
        "Free cloud tier: 50k observations/month"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Acquisition verified from both parties. Licensing and self-hosting are explicitly unchanged; the entire team joined ClickHouse.",
      "sources": [
        "https://langfuse.com/",
        "https://langfuse.com/blog/joining-clickhouse",
        "https://clickhouse.com/blog/clickhouse-acquires-langfuse-open-source-llm-observability"
      ]
    },
    {
      "slug": "braintrust",
      "name": "Braintrust",
      "url": "https://tools.supremebrain.com/tools/braintrust/",
      "homepage": "https://www.braintrust.dev/",
      "category": "operations",
      "summary": "A hosted observability, evaluation and gateway platform for LLM applications, offering multi-step agent tracing, LLM-as-a-judge and custom scorers, regression testing in CI and production monitoring.",
      "who_for": "Evaluation-driven teams that want unified tracing and evals across development and production.",
      "pricing": "Starter $0/mo (1 GB processed data, 10k scores, 14-day retention, unlimited users); Pro $249/mo (5 GB, 50k scores, 30-day retention); Enterprise custom. Overage billed per GB and per 1k scores.",
      "key_facts": [
        "Closed-source hosted platform; some client libraries and scorers are open source",
        "Combines tracing, evaluation, datasets, experiments and an AI gateway",
        "Evals run in CI or continuously on production traffic",
        "25+ built-in scorers; a built-in agent generates custom scorers from descriptions",
        "No per-seat charges - unlimited users on all tiers"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": null,
      "sources": [
        "https://www.braintrust.dev/pricing",
        "https://www.braintrust.dev/docs/plans-and-limits"
      ]
    },
    {
      "slug": "arize-phoenix",
      "name": "Arize Phoenix",
      "url": "https://tools.supremebrain.com/tools/arize-phoenix/",
      "homepage": "https://arize.com/phoenix/",
      "category": "operations",
      "summary": "An open-source AI observability and evaluation platform that traces model calls, retrievals, tool use and custom logic to debug agents. Built on OpenTelemetry and the OpenInference spec, runnable locally, self-hosted, on Kubernetes or via managed cloud.",
      "who_for": "Developers who want local, self-hostable observability and evals without shipping data to a SaaS platform.",
      "pricing": "Open-source core is free and self-hosted. Managed cloud starts free with paid tiers whose prices are not published.",
      "key_facts": [
        "Open source and self-hostable",
        "Accepts traces over OpenTelemetry (OTLP) using the OpenInference spec",
        "Auto-instrumentation for LlamaIndex, LangChain, DSPy, Mastra and the Vercel AI SDK",
        "Supports tracing, evals, prompt iteration and experiments",
        "Deploys locally, via Docker or Helm/Kubernetes"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Managed cloud pricing is not published; treated as not stated.",
      "sources": [
        "https://arize.com/phoenix/",
        "https://arize.com/docs/phoenix"
      ]
    },
    {
      "slug": "helicone",
      "name": "Helicone",
      "url": "https://tools.supremebrain.com/tools/helicone/",
      "homepage": "https://www.helicone.ai/",
      "category": "operations",
      "summary": "An LLM observability stack and AI gateway that sits in the request path to log requests, costs, prompts and sessions, and to cache, rate-limit and route across providers. Now in maintenance mode following its acquisition by Mintlify.",
      "who_for": "Existing Helicone users. New projects should evaluate alternatives - the acquirer is steering customers toward migration.",
      "pricing": "Legacy tiers still listed while the product is in maintenance: Hobby free (10k requests/mo); Pro $79/mo; Team $799/mo; Enterprise custom.",
      "key_facts": [
        "Acquired by Mintlify on 3 March 2026",
        "Maintenance mode: security updates, bug fixes and new model support only",
        "Active feature development has ended",
        "Mintlify states it will support customers migrating to another platform",
        "Open source under Apache 2.0 and self-hostable via Docker or Helm"
      ],
      "status": "deprecated",
      "status_changed": "2026-03",
      "removal_reason": "Acquired by Mintlify on 3 March 2026 and placed in maintenance mode. Helicone's own acquirer is telling its customers to migrate to another platform, so it stays listed with a warning rather than being presented as a normal choice.",
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Third-party sources conflicted on Pro/Team pricing; treat the listed figures as legacy and unconfirmed.",
      "sources": [
        "https://www.helicone.ai/blog/joining-mintlify",
        "https://www.mintlify.com/blog/mintlify-acquires-helicone",
        "https://druce.ai/governance/wiki/vendors/helicone"
      ]
    },
    {
      "slug": "promptfoo",
      "name": "promptfoo",
      "url": "https://tools.supremebrain.com/tools/promptfoo/",
      "homepage": "https://www.promptfoo.dev/",
      "category": "operations",
      "summary": "An open-source CLI and library for systematic LLM evaluation, prompt testing and AI security, running YAML-defined test cases across 50+ providers with automated scoring, plus red-teaming for prompt injection and data leakage.",
      "who_for": "CLI-first developers and security-conscious teams that want test-driven evaluation and red-teaming in CI, with data staying local.",
      "pricing": "Community edition free forever, including eval features and up to 10k red-team probes/month. Enterprise and on-premise pricing custom.",
      "key_facts": [
        "Acquired by OpenAI, announced 9 March 2026",
        "Remains open source under its existing MIT licence",
        "Local-first: evals run on your machine like unit tests",
        "YAML-configured tests across 50+ providers",
        "Automated red-teaming for prompt injections, jailbreaks and data leakage"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Still open source and supported per both parties, but it now sits inside a major model vendor's platform - watch what happens to the standalone product.",
      "sources": [
        "https://www.promptfoo.dev/blog/promptfoo-joining-openai/",
        "https://openai.com/index/openai-to-acquire-promptfoo/",
        "https://techcrunch.com/2026/03/09/openai-acquires-promptfoo-to-secure-its-ai-agents/",
        "https://www.promptfoo.dev/pricing/"
      ]
    },
    {
      "slug": "deepeval",
      "name": "DeepEval",
      "url": "https://tools.supremebrain.com/tools/deepeval/",
      "homepage": "https://www.deepeval.com/",
      "category": "operations",
      "summary": "An open-source evaluation framework styled as Pytest for LLM applications, with 50+ research-backed metrics including LLM-as-a-judge, G-Eval and hallucination detection, plus synthetic data generation.",
      "who_for": "Python and TypeScript developers who want local, framework-agnostic eval tests in CI before shipping.",
      "pricing": "Framework free and open source (Apache 2.0). The companion Confident AI monitoring platform is a separate paid service with prices not published.",
      "key_facts": [
        "Apache 2.0 licence, maintained by Confident AI",
        "Evaluates agents, multi-turn chatbots, voice agents, RAG pipelines and MCP systems",
        "50+ ready metrics including faithfulness, relevancy, hallucination, bias and toxicity",
        "Component-level and end-to-end trajectory evaluation",
        "Local-first; optional login connects to Confident AI for production trace evals"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Confident AI cloud pricing is not published.",
      "sources": [
        "https://www.deepeval.com/docs/introduction",
        "https://github.com/confident-ai/deepeval"
      ]
    },
    {
      "slug": "e2b",
      "name": "E2B",
      "url": "https://tools.supremebrain.com/tools/e2b/",
      "homepage": "https://e2b.dev/",
      "category": "operations",
      "summary": "An open-source cloud platform that runs one isolated microVM per agent session for executing AI-generated or untrusted code, with snapshots, shells, filesystems, browsing, networking and pause/resume. Supports both its own cloud and bring-your-own-cloud.",
      "who_for": "Agent builders who need secure, isolated execution for coding agents, computer use, data analysis and evaluations.",
      "pricing": "Hobby free (one-time $100 usage credit, 1-hour sessions, 20 concurrent sandboxes); Pro $150/mo plus per-second usage (24-hour sessions, up to 1,100 concurrent); Enterprise custom.",
      "key_facts": [
        "Apache 2.0 licensed and open source",
        "Each sandbox is a Firecracker microVM with a full machine per session",
        "Boots from snapshot; supports pause and resume",
        "SDK templates for Claude Code, Codex, OpenAI Agents SDK, CrewAI and Mastra",
        "SOC 2 Type II; bring-your-own-cloud on AWS, GCP or Azure"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Compute is billed per second in addition to the plan fee. Vendor-published adoption figures are unverified.",
      "sources": [
        "https://e2b.dev/",
        "https://sandbox.watch/p/e2b"
      ]
    },
    {
      "slug": "daytona",
      "name": "Daytona",
      "url": "https://tools.supremebrain.com/tools/daytona/",
      "homepage": "https://www.daytona.io/",
      "category": "operations",
      "summary": "A sandboxed code-execution platform for AI-generated code and agent workflows, providing container-based sandboxes created in under 90ms, stateful persistent workspaces, environment snapshots and optional GPU compute. Available as a managed cloud with customer-managed compute.",
      "who_for": "Platform teams running coding agents, code interpreters, evaluations and computer-use workloads that need fast, isolated, stateful sandboxes.",
      "pricing": "Usage-based after $200 of free compute: vCPU $0.0504/h, memory $0.0162/GiB/h, storage $0.000108/GiB-h after 5 GiB free. GPUs metered separately.",
      "key_facts": [
        "Managed cloud service; the hosted product is actively developed",
        "The public GitHub repository was archived on 3 October 2026 and is no longer maintained",
        "Core development moved to a private codebase as of June 2026",
        "Sandboxes create in under 90ms from OCI/Docker-compatible images",
        "Control plane is managed by Daytona; compute can run on your own cloud",
        "SDKs for Python, TypeScript, Go, Java and Ruby"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Important split: the commercial cloud is live, but the open-source repository is archived and unmaintained. If you forked it expecting upstream fixes, you will not get them. No fully self-hosted control plane is offered.",
      "sources": [
        "https://www.daytona.io/",
        "https://github.com/daytonaio/daytona",
        "https://www.developersdigest.tech/agent-sandboxes/daytona-oss"
      ]
    },
    {
      "slug": "modal",
      "name": "Modal",
      "url": "https://tools.supremebrain.com/tools/modal/",
      "homepage": "https://modal.com/",
      "category": "operations",
      "summary": "A serverless cloud for AI workloads that runs Python functions, model endpoints, batch jobs and isolated Sandboxes for executing untrusted agent code, with per-second billing and scale-to-zero autoscaling.",
      "who_for": "Developers who want serverless CPU/GPU compute for inference, training, batch work and agent sandboxes without idle charges.",
      "pricing": "Starter $0/mo plus $30 free compute (3 seats, 100 containers, 10 GPU concurrency); Team $250/mo plus $100 free credits (unlimited seats, 5,000 containers, 50 GPU concurrency); Enterprise custom. Sandboxes billed at roughly 3x list compute rates.",
      "key_facts": [
        "Serverless and code-first: define a function with the resources it needs; Modal builds and scales it",
        "Sandboxes use gVisor-based isolation for untrusted code",
        "Supports CPU and GPU execution, arbitrary runtimes, and filesystem/memory snapshots",
        "Bills per second with scale-to-zero, so idle work costs nothing",
        "Network egress billed from October 2026"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Sandboxes are non-preemptible and billed at roughly 3x standard compute. Vendor-published run-rate figures are unverified.",
      "sources": [
        "https://modal.com/pricing",
        "https://modal.com/products/sandboxes"
      ]
    },
    {
      "slug": "letta",
      "name": "Letta",
      "url": "https://tools.supremebrain.com/tools/letta/",
      "homepage": "https://www.letta.com/",
      "category": "operations",
      "summary": "A platform and open-source framework for building, hosting and running stateful agents with persistent memory, context management and tool execution. Agents can run in the managed cloud, a self-hosted app server, or fully local backends.",
      "who_for": "Developers who need long-running, memory-persistent agents deployable across managed cloud, self-hosted or local backends.",
      "pricing": "Free $0/mo (limited agents, bring your own key); Pro $20/mo (up to 20 stateful agents); Developer plan $20/mo (unlimited agents, $0.10 per active agent/mo, $0.00015/sec tool execution); Teams $20/seat/mo; Enterprise custom.",
      "key_facts": [
        "Stateful runtime persists memories, tools and messages in a database",
        "Context management via compaction, rewriting and offloading",
        "Agents can run on a managed sandbox, a self-hosted app server, or a registered computer",
        "Supports horizontal scaling on Kubernetes with connection pooling",
        "MCP tool execution supported; bring-your-own-key models on all plans"
      ],
      "status": "active",
      "status_changed": null,
      "removal_reason": null,
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": null,
      "sources": [
        "https://docs.letta.com/pricing",
        "https://www.letta.com/blog/introducing-the-letta-agent-sdk/",
        "https://aws.amazon.com/blogs/database/how-letta-builds-production-ready-ai-agents-with-amazon-aurora-postgresql/"
      ]
    },
    {
      "slug": "humanloop",
      "name": "Humanloop",
      "url": "https://tools.supremebrain.com/tools/humanloop/",
      "homepage": "https://humanloop.com",
      "category": "operations",
      "summary": "A formerly prominent LLM evaluation, prompt management and monitoring platform for enterprises. Its team joined Anthropic in an acqui-hire and the standalone platform was sunset, leaving no self-hostable code behind.",
      "who_for": "Nobody. Listed so that anyone searching for it finds the truth instead of a stale review page.",
      "pricing": "Not stated - the platform is no longer available for purchase.",
      "key_facts": [
        "Anthropic acqui-hired the team in August 2025",
        "Anthropic did not acquire the company or its intellectual property",
        "Billing stopped on 30 July 2025",
        "The platform was sunset on 8 September 2025; accounts and data became inaccessible",
        "Closed source, so no open-source core exists to self-host or fork"
      ],
      "status": "removed",
      "status_changed": "2025-09",
      "removal_reason": "Platform sunset on 8 September 2025 after an Anthropic acqui-hire in which no assets or IP changed hands. Because it was closed source, the shutdown left nothing to self-host - the most complete form of disappearance there is.",
      "last_verified": "2026-10-22",
      "confidence": "high",
      "notes": "Included as a departure rather than omitted: a directory that silently drops dead tools teaches you nothing about the risk.",
      "sources": [
        "https://www.developersdigest.tech/blog/llm-observability-acquisitions-2026",
        "https://www.rfp.wiki/artificial-intelligence/humanloop",
        "https://7wdata.be/company/humanloop/"
      ]
    }
  ]
}