yixinforu

yixinforu / ops-mind-agent

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An open-source Agent platform for intelligent operations scenarios, built on Spring AI and integrating knowledge retrieval, streaming conversation, web search, and tool calling to enable a complete closed-loop operations analysis workflow.

32
1
100% credibility
Found Apr 19, 2026 at 32 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Java
AI Summary

Ops Mind Agent is a ready-to-run AI assistant application that enables conversational support, alert analysis, knowledge retrieval from uploaded documents, web search, and multi-user session management for operations workflows.

How It Works

1
🔍 Discover Ops Mind Agent

You find this helpful AI sidekick designed for everyday operations tasks like chatting about issues and checking alerts.

2
🚀 Start your assistant

Use the easy guide to get everything running on your computer so it's ready to help.

3
👤 Create your account

Sign up quickly with a username and password to keep your chats private and organized.

4
💬 Have natural conversations

Type questions about work and watch the assistant respond helpfully, remembering your previous chats.

5
📤 Add your knowledge files

Upload simple text or markdown files from your team so the assistant draws from your own guides.

6
⚠️ Run smart ops analysis

Tap the special AI Ops button to automatically review alerts and create detailed troubleshooting reports.

🎉 Get expert ops support

Your assistant now handles routine questions, document lookups, and deep issue analysis, making your workday smoother.

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Star Growth

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AI-Generated Review

What is ops-mind-agent?

Ops-mind-agent is a Java-based open source agent platform built on Spring AI for intelligent operations workflows. It delivers a full-stack AI ops assistant with streaming chat, RAG-powered knowledge retrieval from uploaded docs, web search, and tool calling for alerts, metrics, logs, and datetime queries—forming a closed-loop analysis system. Users get a deployable "Xiaowei Assistant" UI for multi-session conversations, dedicated AI Ops entry for report generation, and easy self-hosted setup via Docker Compose and Makefile commands like `make init`.

Why is it gaining traction?

Unlike basic LLM chat wrappers, it ships as a production-ready baseline with user auth, session persistence in MySQL/Redis, and Milvus vector search, plus Tavily web skills—ideal for open-source agentic AI frameworks in ops. Devs dig the one-command local/server deploys, SSE streaming APIs (/api/chat_stream, /api/ai_ops), and extensible tools without boilerplate. As a self-hosted open source agent alternative to GitHub Copilot-style tools, it hooks teams needing grounded, multi-turn ops reasoning.

Who should use this?

SREs and DevOps engineers triaging Prometheus alerts via natural language, or ops teams building internal knowledge Q&A over docs and metrics. Perfect for enterprises wanting an open-source agent platform to prototype AI-driven troubleshooting without vendor lock-in. Skip if you're not running Java/Spring stacks or need non-ops agents.

Verdict

Solid starter for self-hosted open source agents in ops (32 stars), but 1.0% credibility signals early maturity—docs are strong, deploys smooth, yet low adoption means watch for edge cases. Fork and extend if you need agentic workflows now; otherwise, monitor this open-source agent builder.

(198 words)

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