Haystack
A Python framework for composing controlled, production-ready LLM pipelines and agent workflows.
AnythingLLM
A self-hosted workspace for document chat and AI-driven workflows.
Genkit: Open Framework for Full-Stack AI Apps
Open-source framework for building full-stack AI apps, built and used in production by Google, supporting JavaScript, Go, Python, and Dart.
Weaver Agent Platform
A self-hosted platform for deep research, tool use, browser automation, and sandboxed code execution.
Lime - Full-Stack Desktop AI Agent
An open-source full-stack desktop AI agent that can actually finish the work, spanning coding, files, terminals, tools, research, content, and multimodal workflows.
Gitagent
A git-native AI agent framework where your agent lives inside a git repo — identity, rules, memory, tools, and skills are all version-controlled files.
SimpleMem: Efficient Lifelong Memory for LLM Agents
Store, compress, and retrieve long-term memory with semantic lossless compression — text and multimodal — so agents recall more while spending fewer tokens.
Understanding AI Agents: Design Principles and Engineering Practice
A comprehensive open-source book with 10 chapters and 95 hands-on experiments, based on 'Agent = LLM + Context + Tools' to take you from fundamentals to production.
Second Brain Personal AI Assistant
Turns an LLM into a personal operating system on your own machine: local file intelligence, workflow automation, and multi-platform messaging so tasks complete themselves.
Mobile-Agent: A Family of Powerful GUI Agents
A multi-platform GUI agent family by Alibaba's Tongyi Lab, automating mobile, desktop, and web tasks via multimodal models.
Blades
A Go framework for composing multimodal agents from models, tools, memory, middleware, and workflows.
PySpur — Visual Playground for Agentic Workflows
Build, debug, and iterate AI agents visually, 10x faster, with human-in-the-loop, loops, RAG, and multimodal support.
Comprehensive Generative AI Resource Hub: Roadmaps, Projects & Interview Prep
One-stop hub for end-to-end GenAI learning: detailed roadmap, real-world projects, interview and coding prep.