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
Qdrant vector database: collections, points, payload filtering, indexing, quantization, snapshots, and Docker/Kubernetes deployment.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables seamless management of Qiniu KODO object storage for uploading, listing, downloading, deleting, and URL retrieval across MCP, Node.js SDK,
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill stores and recalls persistent memories via FlightBox on the Quack Network to preserve context across sessions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you connect AI agents to the Quack Network, register, authenticate, and interact via the Quack API.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill automates multi-agent quant research and backtesting, generating factors, strategies, and evaluations to accelerate profitable trading insights.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
63 deterministic quant computation tools for autonomous financial agents. Options pricing, derivatives, risk, portfolio optimization, statistics,...
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you generate production-ready quickstart guides, templates, and validation checks for documentation tasks.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates and edits images using Alibaba Qwen-Image-2.0 models via inference.sh, enabling fast visuals and professional text rendering.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates professional text-heavy images using Qwen-Image-2-Pro via inference.sh, delivering realistic renders and strong semantic adherence for
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill scaffolds a production-ready RAG pipeline without LangChain, enabling fast document ingestion, semantic search, and streaming API endpoints.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Generate project specifications in V2 format through structured user interviews. Requires user presence.
- 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.