agno-agi

agno-agi / agent-platform-railway

Public

Agent platform you build, run, and improve using coding agents.

16
1
100% credibility
Found May 12, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A ready-to-run platform for creating, chatting with, testing, and self-improving AI agents, designed to be managed and enhanced by coding agents themselves.

How It Works

1
📰 Discover the Platform

You hear about a simple way to build smart AI helpers that can create and improve themselves using other AIs.

2
💻 Set Up Locally

You grab the project, copy a sample settings file, connect your AI service, and start everything on your computer with one easy command.

3
✨ Build Your First Agent

You chat with a helpful AI that asks a few questions and quickly creates a new smart agent for you, ready to use in minutes.

4
💬 Talk to Your Agent

You connect to a friendly web chat page and have real conversations with your agent, watching its step-by-step thinking.

5
🔄 Make It Smarter

You give simple instructions to another AI, which tests your agent, finds improvements, and updates it automatically.

6
✅ Check It Works

You run quick tests to make sure your agent handles tasks reliably, seeing pass or fail results right away.

🚀 Go Live Anywhere

Your smart agents are running smoothly, connecting to chat apps like Slack, and ready to improve themselves over time.

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Star Growth

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AI-Generated Review

What is agent-platform-railway?

This Python-based open source agent platform lets you build, run, and improve AI agents entirely in your cloud using coding agents like Claude or GitHub Copilot. It solves the pain of fragmented agent setups by bundling a FastAPI server, Postgres storage with vector search, and one-command Docker deploys locally or to Railway—keeping data, traces, and auth under your control. Connect via Slack, chat through a web UI, or run evals to lock in agent behavior.

Why is it gaining traction?

It stands out with agent-driven development: paste prompts into Claude to auto-scaffold new agents, harden them via probes, extend tools, or hill-climb evals, all against your live server. Unlike vendor-hosted agent github copilot cli or intellij plugins, you own the full stack—add AWS tools, web search, or code querying without lock-in. The built-in eval runner and Railway scripts make iteration fast, hooking devs tired of manual agent plumbing.

Who should use this?

AI engineers prototyping agent platforms for internal tools, like web-search or codebase-querying bots integrated with Slack. Indie devs building agent github code workflows or microsoft agent platform advisors. Teams experimenting with multi-agent teams on AWS or open source setups, especially if using agent github claude for self-improvement loops.

Verdict

Solid starter for agent platform architecture tinkering, with strong docs and evals coverage, but at 16 stars and 1.0% credibility, it's early-stage—test locally before Railway prod. Worth forking if agent platform fifa-style logins or custom UIs are your jam.

(187 words)

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