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
Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill streamlines LangChain local development with hot reload, testing fixtures, and rapid iteration to boost productivity.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provides production-ready LangChain SDK patterns for reliable chains, memory, and error handling to accelerate integration and standardize code.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you through upgrading LangChain versions and migrating APIs, ensuring safe, verifiable migrations across imports, chains, memory, and agents.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill orchestrates DuckDuckGo and Zai search with Ark and GLM extraction to deliver structured results and saves workflow data.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you diagnose and fix common Langfuse errors quickly by guiding verification, matching errors, and applying proven solutions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables end-to-end LLM tracing with automatic OpenAI integration and manual spans to improve observability and debugging.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you gather Langfuse diagnostic data and create a privacy-preserving support bundle for faster troubleshooting.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you set up Langfuse observability, monitor LLM costs, and manage prompts for production with tracing and evaluation.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Migrate hardcoded prompts to Langfuse for version control and deployment-free iteration. Use when user wants to externalize prompts, move prompts to Langfuse, or set up prompt management.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you design and implement Langfuse reference architectures for observability, deployment, and enterprise-grade tracing at scale.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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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.