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 helps you leverage Cohere's Python SDK for chat, tool use, streaming, and RAG to build Python apps.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps optimize two stage retrieval with Cohere rerank, improving semantic search and RAG pipelines across docs.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you integrate Cohere's TypeScript SDK for chat, embeddings, and tool use in Node.js or browser apps.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill fetches latest Coindesk articles via RSS, analyzes content with AI, and summarizes trends and sentiment for quick decision making.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Provides an MCP server with a broad set of commercetools tools and a streamable HTTP option for integration with agents and clients.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps manage autonomous agent networks with on-chain identity and persistent memory, enabling disciplined contributions, governance, and secure
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill performs static analysis of code to determine time and space complexity with step-by-step derivations and optimization recommendations.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build AI agents and apps with Composio, enabling secure tool access, authentication, and multi-tenant workflows.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build AI agents and apps with Composio, enabling secure tool access via Tool Router or precise manual tool execution.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you compare compositional ACSet schemas across DuckDB and LanceDB to reveal density, versioning, and traversal trade-offs.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill distills daily memory logs into a searchable, compounding wisdom index to steadily make agents smarter across sessions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build MCP servers and agentic applications with Concierge, enabling staged tools, shared state, and semantic search.
- Fit
- 66 / 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.