openfang
OpenFang is an open-source Agent Operating System written in Rust that runs autonomous agents on schedules without requiring user prompts. It compiles to a single 32MB binary and includes 7 pre-built agent packages (Hands) for tasks like lead generation, web research, social media management, and content creation.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | RightNow-AI/openfang |
| Owner | RightNow-AI |
| Primary language | Rust |
| License | Apache-2.0 — OSI-approved |
| Stars | 18k |
| Forks | 2.3k |
| Open issues | 107 |
| Latest release | v0.6.9 (2026-05-12) |
| Last updated | 2026-07-02 |
| Source | https://github.com/RightNow-AI/openfang |
What openfang is
Built in Rust with 137K LOC across 14 crates and 2,696+ passing tests, OpenFang provides a framework for autonomous agents called Hands that bundle system prompts, tools, skill references, and guardrails. It supports 27 LLM providers, 40 channel adapters, and compiles to a single binary with low memory footprint (~40MB idle).
Get the openfang source
Clone the repository and explore it locally.
git clone https://github.com/RightNow-AI/openfang.gitcd openfang# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Pin to a specific commit in production until v1.0 release; breaking changes expected between minor versions. Test upgrade paths carefully in staging.
- Pre-built Hands are compiled into the binary; custom Hands require Rust compilation and HAND.toml manifest definition. Plan development cycle for new agent capabilities.
- Mandatory guardrails on sensitive Hands (e.g., Browser requires explicit purchase approval). Design approval workflows and audit logging into deployment strategy.
- Dashboard runs on localhost:4200 by default; plan network exposure, authentication, and TLS termination for remote access.
- Supports 27 LLM providers; verify target provider (OpenAI, Anthropic, Ollama, etc.) is listed and credentials are securely injected via environment or secrets management.
When to avoid it — and what to weigh
- Requires Production-Grade Stability Before v1.0 — README explicitly states: pre-1.0, expect rough edges and breaking changes between minor versions. Production deployments should pin to specific commits; not suitable for mission-critical systems requiring guaranteed API stability.
- Need Minimal Resource Footprint (<20MB) — At 32MB binary size and 40MB idle memory, OpenFang is heavier than lightweight alternatives like ZeroClaw (8.8MB install, 5MB idle). Poor fit for edge devices, embedded systems, or highly constrained environments.
- Team Not Comfortable with Rust Ecosystem — Written entirely in Rust; no Python bindings mentioned. Requires Rust toolchain knowledge for custom Hand development and debugging. Poor fit for Python-first shops or teams without Rust expertise.
- Require Real-Time Sub-100ms Agent Startup — 180ms cold start is slower than ZeroClaw (10ms). If latency-sensitive applications demand sub-100ms initialization, consider lighter frameworks. Acceptable for scheduled/autonomous workloads, not interactive chat.
License & commercial use
Licensed under Apache License 2.0 (Apache-2.0). GitHub metadata lists Apache-2.0; README badge claims MIT (discrepancy noted). Apache 2.0 is a permissive OSI-approved license allowing commercial use, modification, and distribution with liability limitation and patent grant.
Apache-2.0 explicitly permits commercial use, modification, and redistribution. However, pre-1.0 status and potential breaking changes introduce risk: conduct legal review of compatibility with production SLAs. Retain notice files and license copies in distributions. No proprietary restrictions on deploying agents for commercial lead generation, content monetization, or automation services, but version pinning is essential.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Needs review |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
OpenFang includes 16 documented security systems (highest in comparison). Guardrails on sensitive actions (e.g., Browser Hand requires purchase approval) reduce unintended spend. However, pre-1.0 status and community-driven development mean security audits may be incomplete. Secrets management (LLM keys, API credentials) must use environment/vault injection; localhost dashboard requires network isolation or authentication. Web automation via Playwright can be exploited if input validation is weak; sanitize user-provided URLs and targets. Knowledge graph construction via web scraping may violate ToS on some targets.
Alternatives to consider
ZeroClaw
Rust-based, 10ms cold start, 5MB idle memory, 8.8MB install. Better for resource-constrained or latency-critical workloads; fewer features and LLM providers (no benchmarks provided for breadth).
OpenClaw
TypeScript-based, 5.98s startup, 394MB memory, 500MB install. Larger footprint but mature TypeScript ecosystem; 3 security systems vs OpenFang's 16; fewer channel adapters (13 vs 40).
LangGraph (LangChain)
Python-based, 2.5s cold start, 180MB memory, 150MB install. Ideal for Python-first teams; broader integration ecosystem; lower barrier to custom agent development; production-ready (v1.0+). Trade-off: heavier footprint, requires Python runtime.
Build on openfang with DEV.co software developers
OpenFang offers a production-ready foundation for autonomous agent workflows. Assess pre-1.0 stability requirements, plan custom Hand development in Rust, and design approval workflows for sensitive actions. Start with pre-built Hands or contact Devco for custom Agent OS integration.
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openfang FAQ
Can I deploy OpenFang in production today?
Do I need to write Rust to use OpenFang?
What LLM providers are supported?
How do I prevent agents from overspending or executing unauthorized actions?
Work with a software development agency
DEV.co helps companies turn open-source tools like openfang into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your ai frameworks stack.
Ready to Deploy Autonomous Agents?
OpenFang offers a production-ready foundation for autonomous agent workflows. Assess pre-1.0 stability requirements, plan custom Hand development in Rust, and design approval workflows for sensitive actions. Start with pre-built Hands or contact Devco for custom Agent OS integration.