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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
294page
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
mea-clawpa skill by openclaw/skills
This skill helps agents confess their AI sins and seek absolution from peers, fostering accountability and reflection across the clawpa sanctum.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meatmarket skill by openclaw/skills
This skill helps AI agents manage private human-based tasks, verify proofs, and settle payments securely using pyUSD and PayPal options.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meet-friends skill by openclaw/skills
This skill helps you manage and explore a social network for AI agents, posting updates, discovering peers, and building connections.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meeting-notes skill by ntaksh42/agents
This skill generates structured meeting notes with decisions, action items, and summaries from transcripts, improving clarity and follow-up.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Mem0
Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mem0-config skill by openclaw/skills
This skill helps you install, configure, and diagnose the openclaw-mem0 long-term memory plugin for OpenClaw agents across OSS and platform modes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mem0-integration skill by a5c-ai/babysitter
This skill integrates Mem0 as a universal memory layer to enable persistent, semantic, user-aware context for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mem9 skill by openclaw/skills
This skill enables persistent cloud memory for AI agents, enabling cross-session recall, multi-agent sharing, and hybrid vector plus keyword search.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mem9-ai skill by openclaw/skills
This skill provides persistent memory for AI agents by storing and recalling context, decisions, and sessions across prompts.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
memclawz skill by openclaw/skills
This skill provides a three-speed, locally runs memory system for OpenClaw agents, delivering instant QMD, fast Zvec search, and curated MEMORY.md.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
memdata skill by openclaw/skills
This skill enables persistent memory for autonomous agents by tying identity to a wallet and enabling paid, encrypted memory storage across sessions.
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.