Agent Design Patterns: 510 curated resources
Curated material on agent design patterns within agents and harnesses.
510 resources · page 10 of 16
DeepPavlov documentation
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DeepPavlov documentation: open-source conversational AI and NLP library from MIPT, with configs and pipelines.
Descript Help Center
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Descript Help Center: guides to editing audio and video by transcript, with its AI features.
Devin Desktop docs: Cascade Memories
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Devin Desktop (formerly Windsurf) documentation on Cascade memories and rules at global, workspace and system levels.
Dify documentation
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Dify documentation: open-source platform for building LLM apps, knowledge pipelines and agent workflows, cloud or self-hosted.
Docling documentation
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Docling documentation: open-source library for parsing PDFs and other documents into structured formats for AI use.
Duck.ai
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Duck.ai: DuckDuckGo's private AI chat giving anonymous access to models such as ChatGPT and Claude.
E2B blog
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E2B blog with guides and technical posts on running AI agents in secure cloud sandboxes.
Edge Impulse documentation
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Edge Impulse documentation: guides and APIs for collecting sensor data, training models and deploying them on edge devices.
Equipping agents for the real world with Agent Skills
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Anthropic post introducing Agent Skills: SKILL.md folders loaded through progressive disclosure.
Patterns for Building LLM-based Systems & Products (Eugene Yan)
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Eugene Yan's patterns for LLM systems: evals, RAG, fine-tuning, caching, guardrails, defensive UX and user feedback.
Expo agent skills
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Expo skills GitHub repo: agent skills for working with Expo and React Native projects.
Factory news
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Factory news page with research and product updates on its Droids AI coding agents.
Factory docs: AGENTS.md
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Factory documentation on how its Droid agents read AGENTS.md for project instructions, commands and guardrails.
Figma AI
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Figma AI page: AI features inside Figma for generating designs, searching assets and prototyping.
Figma Learn: Get started
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Figma Help Center getting-started category with skill-based courses on using Figma.
Figma MCP server documentation
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Figma MCP server documentation: giving AI coding agents design context from Figma files to generate code.
Write effective prompts to guide the AI (Figma MCP server)
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Figma guide to writing prompts for agents that use the Figma MCP server to generate code from designs.
AWS ML Blog: Generate financial industry-specific insights using generative AI
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AWS blog post on prompt techniques and in-context examples for generating financial analysis from tabular data.
Firecrawl blog
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Firecrawl blog with tutorials on turning websites into LLM-ready data for AI agents.
Flowise documentation
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Flowise documentation: open-source visual builder for LLM workflows and agents.
Framer AI
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Framer AI: website builder that generates editable pages from prompts and publishes them with CMS and hosting.
Gamma Help Center
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Gamma Help Center for creating AI-generated presentations, documents and webpages.
Gemini API: Agents
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Gemini API agents overview: building agents that reason, run code, manage files and browse with Gemini.
Less Control, More Tools: How Genspark Built a Super Agent
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Genspark post on its agent design approach of fewer hard-coded workflows and more tools.
How to write a great agents.md: Lessons from over 2,500 repositories (GitHub Blog)
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GitHub blog analysis of over 2,500 agents.md files with practical tips and templates for writing them.
GitHub Copilot: About agent skills
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GitHub Docs page on agent skills: how Copilot loads skill folders for specialised tasks.
Best practices for using GitHub Copilot to work on tasks
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GitHub documentation on scoping issues and repository instructions to get good results from the Copilot cloud coding agent.
GitHub Copilot documentation
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GitHub Copilot documentation covering code completion, chat, agent mode and configuration.
GitHub Docs: Copilot CLI best practices
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GitHub documentation source on best practices for Copilot CLI, the terminal coding agent.
Glama MCP servers
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Glama registry of open-source MCP servers, searchable by category and updated daily.
Glean blog
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Glean blog on enterprise AI search, assistants and agents for workplace knowledge.
Why agents need sandboxes, not larger context windows (Glean)
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Glean post arguing that agents need code-execution sandboxes rather than larger context windows for data analysis.