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 enforces Swift 6.2 concurrency and language standards across the repository, identifying violations and suggesting fixes during reviews.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
An AI coding assistant that enables interactive natural language queries to navigate and understand codebases.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Empower your team with AI-enabled tools for gamified learning and knowledge retention and gain real-time insights from response-driven surveys – all on a sin…
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Cohere provides large language models optimized for conversational interaction and long context tasks.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you leverage Cohere cookbooks to implement RAG, agents, embeddings, and enterprise patterns for production-grade AI applications.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provides Cohere LangGraph guided best practices for building and memory-aware ReAct agents with multi-tool workflows.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you leverage Cohere streaming for real-time text generation, tool use events, and RAG citations across apps.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill analyzes Hyperliquid trader activity and cohort insights to reveal top traders, trends, and hidden opportunities for AI agents.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill detects the optimal commit type from git changes to streamline messaging and versioning.
- 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.