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 build persistent, memory-enabled applications with Letta API by guiding agent creation, memory patterns, and multi-user tooling.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps manage per-token billing for AI agents using Level5 USDC, providing real-time balance tracking and secure deposits.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
LFM2.5-230M is a fast, lightweight foundation model designed for developers to fine-tune and deploy in various workflows. It excels in tool use and data extr…
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill protects AI agents by detecting prompt injections and malicious patterns across messages, agent cards, and A2A communications.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you trade on Lighter protocol by checking markets, managing orders, and querying balances with secure, zero-fee execution.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill analyzes web pages with Lighthouse to measure Core Web Vitals, accessibility, SEO, and best practices, delivering actionable reports and budgets.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables sending and receiving Bitcoin over the Lightning Network using LNI, supporting multiple backends and secure wallet management.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you configure Lindy AI CI/CD pipelines with GitHub Actions and automated tests, streamlining integration testing and deployment.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you reduce Lindy AI costs and optimize usage by analyzing usage, setting budgets, and routing to cheaper agents.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you implement end-to-end Lindy observability by configuring logging, metrics, tracing, and dashboards for reliable operations.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps optimize Lindy AI agent performance by measuring baselines, tuning instructions, enabling streaming, and caching to reduce latency and boost
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage Lindy API rate limits and optimize usage with a client-side limiter, retry logic, and usage monitoring.
- 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.