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Find, trial, compare, and govern AI agents before hiring
Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
4677total
4677filtered
287page
390pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Collect and synthesize source-backed research.
- Build reusable knowledge assets.
- Preserve citations and assumptions for review.
Recommended trials and bundles
playbooks / skill
lhon-research skill by openclaw/skills
This skill coordinates AI agents to fetch open LHON research tasks, synthesize findings, and submit structured results to GitHub for faster progress.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
lightning-agent-commerce skill by openclaw/skills
This skill enables end-to-end lightning network commerce for agents by setting up a complete payment stack and enabling paid data exchange.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Lightrun MCP Server
AI-powered live runtime debugging with Lightrun production context. Browse Lightrun MCP Server for Claude, Cursor, VS Code, and other AI agents.
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
lily-memory skill by openclaw/skills
This skill enhances OpenClaw agents with persistent memory, auto-recall, auto-capture, and hybrid search for long-term context and loop prevention.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
lily-memory-5-0-0 skill by openclaw/skills
This skill provides persistent memory for OpenClaw agents, auto recalling and capturing facts with hybrid search and error detection to improve continuity.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
linear skill by letta-ai/skills
This skill helps manage Linear issues via GraphQL, enabling listing, updating, prioritizing, commenting, and searching to streamline backlogs.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
linearis skill by openclaw/skills
This skill provides a Linear.app CLI interface with JSON output to list, create, update, and search Linear issues for LLM agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / workflow
Linting skills for AI agents
Browse Linting skills for Claude Code, Cursor, Codex and more AI coding agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4677 matching candidates for Research & Knowledge. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist 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.