OpenFang
Open-source agent operating system for running autonomous agents.
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About OpenFang
OpenFang is listed in our frameworks category and is aimed at builders. Open-source agent operating system for running autonomous agents. Pricing, as the maker states it: Open source. Maturity: Mature. We last checked the official link on 2026-10-16.
What is OpenFang?
OpenFang is an open-source Agent Operating System built in Rust, shipped as one binary. Its README cites 137K lines of code across 14 crates and 1,767+ tests.
It aims to be a full operating system for autonomous agents rather than a chatbot framework or multi-agent orchestrator. It is feature-complete but pre-1.0, so the maintainers advise pinning a commit for production.
Sources: the official README and our directory listing, checked 2026-10-18. Official site: openfang.sh.
Who is OpenFang for?
Developers who want a self-contained runtime for autonomous agents and can handle pre-1.0 changes.
OpenFang at a glance
- Open source: Yes (Apache License 2.0)
- GitHub: RightNow-AI/openfang · 18,213 stars (as of Oct 21, 2026)
Key features
- Agent OS in Rust, single binary
- Extensive test suite
- Pre-1.0; pin for production
OpenFang FAQ
What is OpenFang?
OpenFang is an open-source Agent Operating System built in Rust, shipped as one binary. Its README cites 137K lines of code across 14 crates and 1,767+ tests.
Who is OpenFang for?
Developers who want a self-contained runtime for autonomous agents and can handle pre-1.0 changes.
Is OpenFang free?
OpenFang's pricing, as the maker states it: Open source. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Is OpenFang open source?
Yes. OpenFang is released under the Apache License 2.0, according to its GitHub repository.
What are alternatives to OpenFang?
Similar tools include Agno, AutoGPT, Haystack, AIOS, Docker Agent and AReaL.
OpenFang ratings and reviews
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OpenFang alternatives
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Agno
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AutoGPT
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Haystack
Open-source orchestration framework for building production LLM apps, RAG and agents.
AIOS
Research AI agent operating system that handles scheduling, context switching, memory, storage and tool management for LLM-based agents.
Docker Agent
Docker's agent builder and runtime for defining and running agents.
AReaL
Reinforcement learning system for training LLM-based agents.
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