Auto-generated by trend-scout.py — review and edit as needed.
📌 What problem it solves
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc., chat bot demo: https://ai.casibase.com, admin UI demo: https://ai-admin.casibase.com
📅 Timeline
| Field |
Value |
| Created |
2020-05-29 |
| Last pushed |
2026-04-26 |
| Stars |
4,503 |
| Forks |
532 |
| Open issues |
57 |
| License |
Apache-2.0 |
| Language |
Go |
| Topics |
a2a, agent, agentic, agentic-ai, agi, chatbot, chatgpt, claude, gemini, gpt, knowledge-base, langchain, llama, llm, mcp, model-context-protocol, multi-agent, openai, openclaw, rag |
✅ Strengths
- Strong community interest (4,503 ⭐)
- Widely forked (532 forks) — active derivative work
- Well-tagged: a2a, agent, agentic, agentic-ai, agi, chatbot
- Primary language: Go
- Actively maintained (pushed within 30 days)
⚠️ Weaknesses / Risks
- High open issue count (57) — may indicate maintenance backlog
💡 What this repo can learn
- MCP tool-server surface: the MCP server interface here could expose
query-session.py and briefing.py as directly callable MCP tools — e.g., a Copilot agent could invoke the briefing lookup in-process rather than shelling out to a subprocess, reducing latency in hook-driven workflows
README excerpt
<h1 align="center" style="border-bottom: none;">📦⚡️ OpenAgent</h1>
<h3 align="center">AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc.</h3>
<p align="center">
<a href="#badge">
<img alt="semantic-release" src="https://img.shields.io/badge/%20%20%F0%9F%93%A6%F0%9F%9A%80-semantic--release-e10079.svg">
</a>
<a href="https://hub.docker.com/r/the-open-agent/openagent">
<img alt="docker pull the-open-agent/openagent" src="https://img.shields.io/docker/pulls/the-open-agent/openagent.svg">
</a>
<a href="https://github.com/the-open-agent/openagent/actions/workflows/build.yml">
<img alt="GitHub Workflow Status (branch)" src="https://github.com/the-open-agent/openagent/workflows/Build/badge.svg?style=flat-square">
</a>
<a href="https://github.com/the-open-agent/openagent/releases/latest">
<img alt="GitHub Release" src="https://img.shields.io/github/v/release/the-open-agent/openagent.svg">
</a>
<a href="https://hub.docker.com/r/the-open-agent/openagent">
<img alt="Docker Image Version (latest semver)" src="https://img.shields.io/badge/Docker%20Hub-latest-brightgreen">
</a>
</p>
<p align="center">
<a href="https://goreportcard.com/report/github.com/the-open-agent/openagent">
<img alt="Go Report Card" src="https://goreportcard.com/badge/github.com/th
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Scouted on 2026-04-26 · View on GitHub
🔭 Trend Scout: the-open-agent/openagent
📌 What problem it solves
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc., chat bot demo: https://ai.casibase.com, admin UI demo: https://ai-admin.casibase.com
📅 Timeline
✅ Strengths
💡 What this repo can learn
query-session.pyandbriefing.pyas directly callable MCP tools — e.g., a Copilot agent could invoke the briefing lookup in-process rather than shelling out to a subprocess, reducing latency in hook-driven workflowsREADME excerpt
Scouted on 2026-04-26 · View on GitHub