# 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

Repository: https://github.com/the-open-agent/openagent
Canonical: https://ross.abutalabs.com/products/openagent
Homepage: https://www.openagentai.org/
Language: Go
License: Apache-2.0
License Family: permissive
Topics: chatgpt, gpt, knowledge-base, langchain, openai, chatbot, llm, rag, multi-agent, agi, agent, mcp, model-context-protocol, openclaw, agentic, agentic-ai, harness, openagent, hermes-agent
Last push: 2026-08-20T18:00:55+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 98, release rhythm 86, longevity 100
- inputs: {"age_days": 2287, "days_push": 13, "days_rel": 13, "gap_med": 0, "n_releases_24m": 988}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5571, forks 647 (observed 2026-08-28T04:09:22.485730+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: agent-framework, rag, chatbot, llm-inference, mcp, chat-interface, search-engine, web-framework
- domain: artificial-intelligence, large-language-models, chatbots, self-hosted, developer-tools
- platform: windows, self-hosted, go
- tags: 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

## Member repositories
- the-open-agent/openagent (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:22.485730+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:55:35.627710+00:00, confidence not recorded.
  - readme: https://github.com/the-open-agent/openagent (fetched 2026-08-28T04:09:22.485730+00:00, sha 75f845840f04)
  - homepage: https://www.openagentai.org/ (fetched 2026-08-29T08:50:45.557693+00:00, sha fec95a2f5a66)
  - site_page: https://www.openagentai.org/docs (fetched 2026-08-29T08:50:45.566784+00:00, sha ae2e13ee02b6)
  - site_page: https://www.openagentai.org/docs/install (fetched 2026-08-29T08:50:45.568482+00:00, sha a47d5cf9cb1f)
  - site_page: https://www.openagentai.org/docs/introduction (fetched 2026-08-29T08:50:45.570314+00:00, sha 9bfe146df753)
  - site_page: https://www.openagentai.org/docs/build-a-chat-assistant (fetched 2026-08-29T08:50:45.572853+00:00, sha c7c8225bef1c)
  - site_page: https://www.openagentai.org/docs/add-a-knowledge-base (fetched 2026-08-29T08:50:45.575227+00:00, sha a79964a8ac8d)
  - site_page: https://www.openagentai.org/docs/tools-and-automation (fetched 2026-08-29T08:50:45.577240+00:00, sha a19fe73ece3f)
  - site_page: https://www.openagentai.org/docs/connectors/mcp-servers (fetched 2026-08-29T08:50:45.578955+00:00, sha 317e2a89b512)
- Data as of 2026-08-30T08:39:29.467469+00:00.