12 open-source projects share topics or a category with anything-llm. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
YC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...)
Choose screenpipe if…
you would rather work in Rust than JavaScript
you prefer a smaller, narrower project to a large one
you specifically need agents or agi
Shares hermes-agent, llm, local-ai, multimodal with anything-llm.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Choose ragflow if…
you would rather work in Go than JavaScript
Apache License 2.0 suits your use better than MIT License
you specifically need agentic-nagive or agentic-retrieval
Shares agent-harness, agentic-ai, ai-agents, rag with anything-llm.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Choose haystack if…
you would rather work in Python than JavaScript
Apache License 2.0 suits your use better than MIT License
you prefer a smaller, narrower project to a large one
you specifically need agent-framework or agentic-rag
Shares agentic-ai, ai-agents, llm, rag with anything-llm.
✨ All your agents and workspaces in one place, on every device you own. Track tasks on a board, accessible from desktop, mobile, browser, or API. Self-hosted.
Choose yao if…
you would rather work in Go than JavaScript
you want something your agent can install directly rather than a library to wire up yourself
you prefer a smaller, narrower project to a large one
you specifically need agent-skills or agent-workspaces
Shares agent-harness, agent-orchestration, ai-agents, no-code with anything-llm.
Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.
Choose skills if…
you would rather work in Python than JavaScript
Apache License 2.0 suits your use better than MIT License
you want something your agent can install directly rather than a library to wire up yourself
you prefer a smaller, narrower project to a large one
Shares agentic-ai, ai-agents, llm, rag with anything-llm.