Find, trial, compare, and govern AI agents before hiring
Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
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
This skill enables AI-assisted pair programming with real-time verification, automatic role switching, and integrated testing to boost code quality and
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps researchers read papers, generate structured reports, locate code and data, and scaffold reproducible experiments from PDFs.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage local agent orchestration with Paperclip, configuring companies, agents, and workflows for OpenClaw and Codex control.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This blog features state of the art applications in machine learning with a lot of PyTorch samples and deep learning code.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill coordinates multiple specialized agents to perform comprehensive, multi-domain analysis and implementation tasks within Antigravity.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill should be used when performing comprehensive code reviews using multiple specialized review agents in parallel. It provides patterns for concurrent execution, decision tracking to prevent redundancy, and consolidated reporting. Use when needing thorough review coverage from multiple perspectives (security, architecture, performance) or when revie...
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables AI agents to perform up-to-date web searches via a powerful API, returning ranked results with concise, LLM-friendly excerpts.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Builds real-time multiplayer applications with PartyKit on Cloudflare's edge. Use when creating collaborative apps, games, AI agents, or stateful WebSocket servers with global low-latency deployment.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps researchers transform spoken ideas into structured patent disclosure documents and perform initial novelty patent searches.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps clarify unclear requirements and map paths for complex features through structured questions, options, and guided planning.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps AI agents securely fund and use virtual PayClaw cards for purchases, with intent-based approval and post-purchase auditing.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
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.
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.