the-open-agent/openagent
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org observed · 2026-08-28
Health v2 · maintenance only
94/100
- Activity 98
- Release rhythm 86
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 2287
- days_rel: 13
- days_push: 13
- n_releases_24m: 988
Adoption not part of the score
5571 stars · 647 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
OpenAgent is a self-hosted, single-binary personal AI assistant platform built in Go that combines LLM chat, RAG knowledge bases, and autonomous agent loops with computer-use, browser-use, and coding agent capabilities. It supports 30+ model providers, MCP tool servers, built-in tools, skills, RBAC/SSO, and audit logging, with integrations for Telegram, Discord, and WeCom.
Use cases
- self-host a private AI chat assistant over my own documents
- build a RAG knowledge base from PDFs and wikis
- connect an LLM agent to MCP tool servers
- create a chatbot that can browse the web and run code
- switch between OpenAI, Claude, Gemini, and local models with one config
- deploy an AI assistant with RBAC and audit logs for my team
- run an AI agent platform without Docker or vendor lock-in
When to choose
- you want a batteries-included, self-hosted AI assistant with RAG, tools, and MCP support in a single binary
- you need provider-agnostic model orchestration across 30+ LLM providers
- you want agents that can use tools, browse the web, execute code, and call MCP servers
- you need access control, SSO, and audit logs for a team deployment
When to avoid
- you only need a lightweight LLM API client or SDK to embed in your own code
- you want to train or fine-tune models rather than serve and orchestrate them
- you need a minimal headless agent framework without a bundled web UI and admin dashboard
- you require hard multi-tenant isolation at large scale beyond a single self-hosted instance
Facets
application · maturity active
agent-framework rag chatbot llm-inference mcp chat-interface search-engine web-framework artificial-intelligence large-language-models chatbots self-hosted developer-tools windows self-hosted go single-binary model-orchestration computer-use browser-use coding-agent knowledge-base multi-agent rbac audit-logs telegram discord wecom ai-agents retrieval-augmented-generation linux macos docker web-server
9 sources
- readme: https://github.com/the-open-agent/openagent · fetched 2026-08-28 · 75f845840f04
- homepage: https://www.openagentai.org/ · fetched 2026-08-29 · fec95a2f5a66
- site_page: https://www.openagentai.org/docs · fetched 2026-08-29 · ae2e13ee02b6
- site_page: https://www.openagentai.org/docs/install · fetched 2026-08-29 · a47d5cf9cb1f
- site_page: https://www.openagentai.org/docs/introduction · fetched 2026-08-29 · 9bfe146df753
- site_page: https://www.openagentai.org/docs/build-a-chat-assistant · fetched 2026-08-29 · c7c8225bef1c
- site_page: https://www.openagentai.org/docs/add-a-knowledge-base · fetched 2026-08-29 · a79964a8ac8d
- site_page: https://www.openagentai.org/docs/tools-and-automation · fetched 2026-08-29 · a19fe73ece3f
- site_page: https://www.openagentai.org/docs/connectors/mcp-servers · fetched 2026-08-29 · 317e2a89b512
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| the-open-agent/openagent | main | 94 |
For agents
markdown · JSON · MCP: product_card(name="the-open-agent/openagent")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem