12 open-source projects share topics or a category with NeoHorse. 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.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Choose deer-flow if…
MIT License suits your use better than Apache License 2.0
you want the more widely starred option (85.3k)
you want the more recently updated codebase
you specifically need agentic or agentic-framework
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Choose headroom if…
you want something your agent can install directly rather than a library to wire up yourself
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 want the more widely starred option (27.0k)
you want the more recently updated codebase
you specifically need agent-framework or agentic-ai