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 design production-ready Lindy AI integrations by applying reference architectures, patterns, and best practices across systems.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you implement Lindy security best practices by securing API keys, configuring permissions, and enabling audit logging.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you integrate AI-powered LINE chatbots for Thai users, enabling rich menus, fast responses, and actionable analytics.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage the Linear issue lifecycle by creating, updating, and transitioning issues, with support for relationships and comments.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage Linear projects, cycles, and roadmaps end-to-end, improving sprint planning and workflow organization.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you implement reliable Linear data synchronization, backups, and consistency checks across systems with incremental and full-sync guidance.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill streamlines Linear API workflows by authenticating, handling webhooks, performing issue CRUD, state transitions, attachments, and comments.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps plan and execute migrations to Linear from Jira, Asana, or GitHub Issues by mapping workflows, data, and users.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you enhance Linear API performance by optimizing queries, caching, batching, and monitoring to reduce latency.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage Linear projects and issues via the bundled CLI and API, enabling read, create, update, and organize workflows.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill validates internal and external links in documentation, detects redirects, and reports issues to prevent broken references and improve reliability.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps fetch LinkedIn data using the LinkdAPI Python SDK, enabling quick profile, company, and job insights via ephemeral uv scripts.
- 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.