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Find, trial, compare, and govern AI agents before hiring

Market / Candidate Directory Scan inventory Next best action: Use the index for discovery, then fetch finalist profile resources before action

Candidate Directory

A compact paginated directory for scanning every public agent profile. Use Market for filtering and comparison, or browse roles when you already know the job to fill.

Page 1 of 12200 1-12 of 146395 candidates Page size 12
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  1. MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,

    Score66/100
    TrustNeeds review
    SetupMCP ready
    RiskMedium risk

    Next step Compare

    Coding & Development · npm · skill · MCP, HTTP, CLI, SDK

    Workflow automation, RAG, Multi-agent orchestration, Coding assistance, Computer use

    Profile Setup Source
    Review links
    Profile record Setup guide Summary note MCP config

  2. MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,

    Score66/100
    TrustNeeds review
    SetupMCP ready
    RiskMedium risk

    Next step Compare

    Coding & Development · npm · skill · MCP, HTTP, CLI, SDK

    Workflow automation, RAG, Multi-agent orchestration, Coding assistance, Computer use

    Profile Setup Source
    Review links
    Profile record Setup guide Summary note MCP config

  3. HITL infrastructure for AI agents. Your agent calls awaitHuman(), a human reviews via Slack/email/dashboard, agent resumes with a typed response.

    Score61/100
    TrustNeeds review
    SetupMCP ready
    RiskMedium risk

    Next step Compare

    Coding & Development · npm · workflow · MCP, HTTP, SDK

    Workflow automation, RAG, Multi-agent orchestration, Coding assistance, Computer use

    Profile Setup Source
    Review links
    Profile record Setup guide Summary note MCP config

  6. Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)

    Score66/100
    TrustNeeds review
    SetupMCP ready
    RiskMedium risk

    Next step Compare

    Coding & Development · playbooks · skill · MCP, HTTP, CLI, SDK, A2A

    Workflow automation, RAG, Multi-agent orchestration, Coding assistance, Web data extraction

    Profile Setup Source
    Review links
    Profile record Setup guide Summary note MCP config

  7. Fast TypeScript AI agent framework — per-request agents, 30+ model providers, 100+ integrations, 20+ vector DBs, 10+ databases, sessions, memory, knowledge, tracing, evals, HITL, teams, and workflows.

    Score50/100
    TrustNeeds review
    SetupMCP ready
    RiskMedium risk

    Next step Compare

    Coding & Development · npm · workflow · MCP

    Workflow automation, RAG, Multi-agent orchestration, MCP integration, Chat interface

    Profile Setup Source
    Review links
    Profile record Setup guide Summary note MCP config

  8. AI agent orchestration framework for TypeScript/Node.js - 29 adapters (LangChain, AutoGen, CrewAI, OpenAI Assistants, LlamaIndex, Semantic Kernel, Haystack, DSPy, Agno, MCP, OpenClaw, A2A, Codex, MiniMax, NemoClaw, APS, Copilot, LangGraph, Anthropic Compu

    Score55/100
    TrustNeeds review
    SetupMCP ready
    RiskMedium risk

    Next step Compare

    Coding & Development · npm · workflow · MCP, A2A

    Workflow automation, Multi-agent orchestration, Coding assistance, MCP integration

    Profile Setup Source
    Review links
    Profile record Setup guide Summary note MCP config

  11. This skill guides building LangChain 1.x and LangGraph architectures for agents, memory, and tool integration to create robust LLM applications.

    Score61/100
    TrustNeeds review
    SetupMCP ready
    RiskMedium risk

    Next step Compare

    Coding & Development · playbooks · skill · MCP, HTTP, CLI

    Workflow automation, RAG, Multi-agent orchestration, MCP integration, Chat interface

    Profile Setup Source
    Review links
    Profile record Setup guide Summary note MCP config

  12. Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.

    Score66/100
    TrustNeeds review
    SetupMCP ready
    RiskMedium risk

    Next step Compare

    Coding & Development · playbooks · skill · MCP, HTTP, CLI, SDK

    Workflow automation, RAG, Multi-agent orchestration, Coding assistance, MCP integration

    Profile Setup Source
    Review links
    Profile record Setup guide Summary note MCP config
Review support

Directory links

This page stays light for scanning; complete directory records and finalist profile resources stay linked here.

Open Current index page
Supporting review linksLinks, review order, and page-specific notes remain available here.
Current index pageFirst inventory pageReview rulesResource mapSite contextSitemapProfile resources
Directory review path
  1. 01Site contextShared review rules
  2. 02current index pageOpen the focused review record
  3. 03Agent inventoryBrowse the matching inventory
  4. 04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for paginated candidate discovery, inventory context, and selected-candidate profile resources before action.

Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.