Nasiko-Labs

Nasiko-Labs / nasiko

Public

Developer Control Plane for your AI Agents

879
54
69% credibility
Found Feb 13, 2026 at 47 stars 19x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Nasiko is an open-source platform for registering, routing requests to, and monitoring deployments of specialized AI agents.

How It Works

1
🔍 Discover Nasiko

You find Nasiko on GitHub, a friendly platform that helps organize and connect smart AI helpers for everyday tasks.

2
🚀 Start with one click

Copy a simple setup file, run one command, and your personal AI workspace comes alive on your computer.

3
📁 Add your first helper

Drag in a folder or zip file of an AI helper, give it a name, and Nasiko automatically sets it up and makes it ready to use.

4
💬 Chat with your helpers

Type a question in the web chat, and Nasiko smartly picks the perfect helper to give you the best answer.

5
📊 Watch everything work

See live charts of your helpers' activity, traces of conversations, and performance stats right in the dashboard.

☁️ Grow to the cloud

With everything running smoothly locally, one command deploys your AI team to the cloud for unlimited scale.

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AI-Generated Review

What is nasiko?

Nasiko is an AI-powered development platform that lets you deploy, manage, and route requests to specialized AI agents like GitHub analyzers, translators, and compliance checkers. Built in Python with FastAPI, Docker Compose, and Kubernetes support, it handles agent registry, intelligent query routing via a simple /route endpoint, and full observability with tracing. Developers get a unified API gateway, CLI for uploading agents from directories or GitHub repos, and a macOS desktop app for monitoring and one-click deploys.

Why is it gaining traction?

It stands out by automating agent discovery and routing with LangChain-powered matching, so queries like "analyze this repo" hit the right GitHub agent without config tweaks—unlike piecing together ai-powered development assistants manually. The one-command local stack (make start-nasiko) spins up everything from MongoDB to Kong gateway in under a minute, plus cloud bootstrap for AWS/DO. Features like chat history, traces via LangTrace, and drag-and-drop desktop deployment hook devs tired of bespoke AI orchestration.

Who should use this?

AI engineers building multi-agent workflows for code review, translation, or compliance in dev teams. Backend devs integrating ai-powered github tools or custom agents via CLI uploads. Startups prototyping ai-powered development environments before scaling to K8s.

Verdict

Worth a spin for early adopters eyeing ai-powered development platforms—solid docs, CLI, and quickstart make it accessible despite 46 stars and 0.7% credibility score signaling immaturity. Test locally first; production needs more battle-testing.

(198 words)

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