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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 generate AI-friendly Python CLIs using Click, Pydantic, and Rich, following agentic coding patterns for interactive prompts.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps design and enforce production-ready CLI patterns with consistent output, predictable behavior, and agentic workflows.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables AI agents to manage Instagram activities across official and private APIs with compliant mode control, empowering safe automation.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Clippy is an open-source AI programming assistant developed by the community. It runs locally in Python and helps automate coding tasks such as code generation, debugging, and documentation. The tool uses underlying language models to interpret developer prompts and produce code snippets or suggestions.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
AI-powered technological solutions to help businesses optimize their operations and streamline processes.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Design closed-loop prompts with Request-Validate-Resolve structure for reliable agentic workflows. Use when creating self-validating agents, adding feedback loops, or improving agent reliability through verification.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provides persistent memory for AI agents by storing, recalling, and organizing context across sessions for smarter interactions.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build and deploy at the edge on Cloudflare by guiding workers, pages, D1, R2, KV, and AI workflows.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build AI agents on Cloudflare Workers by integrating tools, MCP, and multiple LLM providers for scalable automation.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you develop CloudBase Run backends with long connections and AI agents, supporting multi-language runtimes and secure, scalable deployments.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage CloudTalk data via Membrane, enabling actions on contacts, calls, agents, and messages with secure auth.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps AI agents persist memory, search by meaning, and surface connections across projects for faster, more accurate recalling.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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4677 matching candidates for Research & Knowledge. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
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