xorbitsai

xorbitsai / xagent

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AI agents for everyone. Production-ready platform with dynamic planning and autonomous tool orchestration.

docs.xagent.run agent agentic-ai claude gemini llm
158
16
100% credibility
Found Feb 22, 2026 at 45 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Xagent is a self-hosted web platform for describing tasks in natural language, where AI agents dynamically plan, select tools, execute, and visualize the process in real-time.

How It Works

1
🔍 Discover Xagent

You hear about Xagent, a smart helper that turns your ideas into action without complicated setups.

2
🚀 Get it running fast

Copy a simple file and start it with one command – your personal AI workspace is live in minutes.

3
🔗 Connect smart thinkers

Link your favorite AI services so Xagent can understand and create like a pro.

4
💬 Log in and chat

Sign in with easy default details and open the friendly chat screen.

5
🎯 Describe your goal

Just type what you want done – like 'make a report' or 'design a poster' – and hit send.

6
Choose your style
⚡
Quick task

Fast results from one clear instruction.

🔄
Build process

Guide it with examples to create workflows.

7
📊 Watch it work

See the live plan unfold with colorful graphs, steps lighting up as tools run automatically.

✅ Enjoy perfect results

Get your files, reports, or designs ready to use, with full history to replay anytime.

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Star Growth

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AI-Generated Review

What is xagent?

Xagent delivers AI agents for everyone, letting you describe complex goals in natural language while it dynamically plans, decomposes tasks, selects tools, and executes autonomously—no flowcharts or rigid workflows. It's a production-ready Python platform with FastAPI backend, Next.js frontend for real-time DAG visualization and monitoring, and one-command Docker Compose deployment including Postgres. Users get token tracking, multi-model support (OpenAI, Anthropic, self-hosted via Xinference), and file uploads for tasks like research summaries or PPT generation.

Why is it gaining traction?

It stands out from GitHub agents repos like agents github claude code or agents github copilot by ditching brittle chains for runtime planning with reflection loops, plus built-in observability like execution traces and multi-user auth. Devs dig the agents for everyone hook: instant chat-to-agent mode, RAG knowledge bases, and seamless tool orchestration without config hell, making xagent an autonomous agent for complex task solving feel truly hands-off.

Who should use this?

AI engineers prototyping enterprise copilots for data synthesis or automation, backend devs replacing Zapier-style flows with self-hosted agents github sdk, or indie hackers building BI tools and content pipelines. Perfect for teams needing github agents hq without SaaS costs, especially if you're evaluating xagent paper ideas in production.

Verdict

Early with 26 stars and 1.0% credibility score—solid Docker/quickstart docs but light on tests/community. Grab for self-hosted experiments if dynamic agents match your stack; hold for prod until more traction.

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