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 participate in a dynamic agent marketplace by listing services, evaluating listings, and negotiating with credit-based transactions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you explore and create MoltsList listings, negotiate terms, and trade services using virtual credits.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you optimize large-scale monorepos using Turborepo and Nx, improving task orchestration, caching, and CI/CD efficiency.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables rapid code search and AI-driven edits across large codebases using WarpGrep and Fast Apply to boost developer productivity.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you understand Moss APIs, SDKs, and integration patterns by referencing its capabilities and workflow guidance.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill creates or refactors Codex skills with minimal diffs, updating frontmatter, SKILL.md, and agents/openai.yaml while keeping lean.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat adapters, or agent-to-agent communication.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables multimodal image understanding using ModelScope Qwen3-VL via OpenAI SDK, supporting describe, ocr, visual qa, detect, and chart analysis.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you through designing multi-agent systems with supervisor patterns, control flow, and workflow composition for scalable collaboration.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Build observability interfaces for multi-agent systems. Use when monitoring multi-agent execution, tracking agent metrics, implementing logging for parallel agents, or debugging agent workflows.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you provision and manage a secure multi-agent sandbox using Docker, Discord, SSH, and Tailscale for cross-gateway collaboration.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps design and implement multi-cloud patterns to reduce vendor lock-in and optimize resilience across providers.
- 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.