GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
OpenFang is an open-source agent operating system developed in Rust, aimed at facilitating AI agent deployment and management.
Good fit when
- When developing AI agents that require high performance and need to be managed within a robust operating environment
Avoid when
- If you are looking for a solution that has extensive built-in integrations with popular cloud providers as OpenFang focuses more on foundational OS-level functionalities
- Hosting:
- self hosted - Designed for self-hosting, offering flexibility for deployment in various environments.
- Pricing:
- freemium - Free to use and distribute under the Apache-2.0 license
- Requirements:
- Developed using Rust, suitable for developers with knowledge of this language
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (79d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No MCP manifest
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add openfang crates.ioHow it fits your stack(5)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
An open-source agent operating system developed in Rust, designed to facilitate the deployment and management of AI agents.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- Languages
- rust
Source: github.language · Sep 20, 2026
Categories
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README
1. Install (macOS/Linux) curl fsSL https://openfang.sh/install sh License MIT. Use it however you want.
For agents
This page has a .md twin and JSON over the API.