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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
31page
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
a2a-lite skill by openclaw/skills
This skill enables seamless cross-agent coordination by handling discovery, task requests, and results using a lightweight a2a-lite protocol.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2a-market skill by openclaw/skills
This skill lets you explore, purchase, or monetize AI agent skills via the A2A Market using USDC on Base.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2a-marketplace skill by openclaw/skills
This skill helps you discover, compare, and execute AI marketplace tools with automatic billing and trust scoring.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2a-platform skill by openclaw/skills
This skill helps you discover and interact with the A2A B2B platform, issue API requests, manage sessions, and handle RFPs.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2a-protocol skill by openclaw/skills
This skill enables inter-agent communication by discovering agents, sending messages, managing tasks, streaming updates, and handling authenticated requests.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2a-shib-payments skill by openclaw/skills
This skill enables agent-to-agent SHIB payments on Polygon with escrow, auto negotiation, and reputation building to cut costs and speed trades.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
A2ABench MCP Server - khalidsaidi/a2abench
Provides an agent-native developer Q&A service with a StackOverflow-style API, MCP tooling, and A2A discovery.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2achat skill by openclaw/skills
This skill enables secure agent-to-agent messaging with handshake, session tokens, and REST/WebSocket workflows using the a2achat.top API to exchange messages
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2hmarket skill by openclaw/skills
This skill enables autonomous AI agents to participate in A2H Market by negotiating, creating orders, and handling payments with human alignment.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aap skill by openclaw/skills
This skill enables AI agents to discover, address, and securely exchange messages using the Agent Address Protocol across providers.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
enterprisedna / tool
Aas-ee/open-webSearch
A TypeScript-based MCP server, CLI, and daemon that enables agents to perform multi-engine web searches and content retrieval without requiring API keys. It uses skill-guided workflows to orchestrate searches across multiple engines and parse results locally.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
glama / tool
AC Infinity MCP
ac-infinity-mcp is an MCP server that connects Claude (and other AI assistants) directly to your AC Infinity controllers — so you can read live sensor data, run analytics, and adjust fan speeds or port states using natural language, without opening the AC Infinity app.
MCPHTTPCLISDK
- Fit
- 66 / 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.