Index / OpenAgent · updated Oct 5, 2026
OpenAgent
the-open-agent/openagent · healthy · rank 18 of 50 by stars
A single-binary, self-hostable personal AI assistant combining LLMs, RAG knowledge bases, and agent loops with computer-use, browser-use, and coding capabilities. Recent commits show an aggressive security-hardening push closing pentest findings, SSRF, XSS, and authz issues.
Facts
Repository
Runtime
Posture
Community
Security breakdown
Composite 82 / 100 · how these are scored
higher is safer
higher is safer
higher is safer
higher is safer
higher is riskier
Model access
Read from the repository, not written by a model · 69 files examined
12 providers · runs locally · gateway support
Pinned models
gpt-3.5-turbo released 2023-05-28 — 3 years old (from the public model catalogue)
Pin last edited 18 days ago
Evidence
Decision
Why choose OpenAgent over OpenClaw?
Why choose this
- Ships as a single Go binary with no installation friction
- Built-in RAG knowledge base from user documents
- Recent systematic security hardening (SSRF, XSS, authz, secret masking)
Tradeoffs
- Far smaller community and mindshare (5.7k vs ~391k stars)
- No multi-channel messaging surface comparable to OpenClaw
- Plugin/skills ecosystem is much less developed
Best fit
- Users wanting a single-binary self-hosted AI assistant
- Teams needing RAG over private documents with any LLM provider
- Operators who value recent security hardening and audit logging
Avoid if
- You need a mature plugin/skills ecosystem like OpenClaw's
- You want multi-channel messaging (WhatsApp, Telegram, etc.) out of the box
- You need a large community and extensive third-party tutorials
Evidence is solid for architecture and security posture given the README and detailed security-fix commit history, but community sentiment is weak — most Reddit matches are tangential (OpenCode/OpenAgent forks, unrelated AoE posts) rather than direct discussion of this project.
AI layer reviewed Oct 5, 2026 · how this is written
Star activity
5,689 stars today
Overview
OpenAgent is a Go-based, single-binary personal AI assistant that unifies LLM chat, a RAG knowledge base built from your own documents, and autonomous agent loops capable of computer-use, browser-use, and coding tasks. It connects to any model provider and can invoke any MCP-compatible tool, positioning itself as a self-hostable alternative to heavier agent platforms.
Architecturally, its standout trait is deployment simplicity — one binary, no installation — paired with an admin surface that includes usage analytics, activity monitoring, tool management, and detailed logs. The recent commit history is dominated by security work: closing pentest findings around authorization, secret leaks, SSRF, stored XSS, SQL injection, webhook bypass, and store-admin command execution, plus signing storage URLs and auditing high-risk tool runs. This suggests the project is maturing from feature velocity into hardening.
Compared to OpenClaw, OpenAgent trades ecosystem breadth for a leaner, more self-contained footprint. It lacks OpenClaw's massive community, multi-channel messaging integrations, and thousands of community skills, but offers a cleaner single-binary deployment story and an apparently serious approach to security auditing. It fits users who want a private, self-hosted assistant with RAG and MCP tooling rather than a sprawling agent ecosystem.