LibreAI / AI Agents / nasiko
// agents · Nasiko-Labs/nasiko

nasiko

The open runtime for AI agents — a Rust platform for running, governing and routing agents with TokenOps.

★ 9.5k stars⑂ 2.1k forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

nasiko is an open-source ai agents project by Nasiko-Labs (Nasiko-Labs/nasiko on GitHub). It has 9,514 GitHub stars and 2,064 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 7 October 2026.

GitHub stars
9,514
Forks
2,064
License
Apache-2.0
Last updated on GitHub
7 October 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide whether you want the Docker-only platform path or the Rust CLI path, and which agents and LLM providers the runtime should manage.

  2. Get the project

    Clone Nasiko-Labs/nasiko from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.

  3. Install and configure

    Clone the repo, copy and edit the environment configuration, then start the platform with Docker Compose — no Rust needed for this path.

  4. Run your first task

    Open the running platform, check what agents are already running, connect one agent or harness, and watch its session and token usage appear.

// features

Why people love it

Agent runtime and orchestration

Runs agents as containers under a Docker runtime, with orchestration for multi-agent setups rather than single scripts.

TokenOps

Token-level visibility and management for agent workloads, surfaced as a first-class part of the runtime.

Policy, security and governance

A dedicated policy and governance layer for controlling what agents may do inside the runtime.

Model routing for harnesses

Coding agents can report sessions to Nasiko and hand the model choice back to its routing, instead of hard-coding a model.

LLM config management

Central management of LLM configuration for the agents the runtime hosts, editable via the server environment.

MCP gateway

Exposes an MCP gateway so agents can reach tools through a governed runtime endpoint.

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// run it

Run it yourself

  1. Clone the repository

    Get the source from the official GitHub repository for nasiko.

    git clone https://github.com/Nasiko-Labs/nasiko.git
    cd nasiko
  2. Start the platform with Docker

    After cloning and editing .env, start everything with Docker Compose as the README's quick start shows.

    docker compose up -d
  3. Or install the CLI from source

    With a Rust toolchain installed, build and install the Nasiko CLI from the cloned repo.

    cargo install --path cli/ --force
// use cases

What you can build

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// faq

Questions, answered

Who maintains nasiko?

Nasiko-Labs, through the Nasiko-Labs/nasiko repository, with the product site at nasiko.com.

Is nasiko free to use?

Yes — the project is open source under the Apache-2.0 license as recorded for this listing. See the license terms for any conditions on redistribution.

Does nasiko need a paid API key?

Agents you run will use LLM providers you configure, with your own keys and provider billing; the Nasiko runtime itself is open source under Apache-2.0.

How does Nasiko compare to an agent framework like a Python SDK?

A framework helps you write one agent in code. Nasiko is a runtime for operating agents — containers, routing, session reporting, TokenOps and governance — so it complements frameworks rather than replacing the code you write.

How do I get started with nasiko?

Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — open the running platform, check what agents are already running, connect one agent or harness, and watch its session and token usage appear.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if nasiko is not the right fit.

Get nasiko

Free and open — grab the source, star the repo, and start creating.