Nano Collective
>Open Source AI Tools

Local-first AI tools, built for the people who use them

Nano Collective is a home for privacy-respecting, local-first AI tools that help developers build, automate, and ship faster without surrendering control.

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Featured Projects

Independent open-source projects shipping under the collective.

[ 01 ]

Nanocoder

An open-source, local-first coding agent. Automate your workflows without sending your proprietary code to the cloud.

  • >Local-first architecture
  • >Multi-provider model support
  • >Extensible skills system
  • >Workflow automation
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✱ Welcome to Nanocoder 1.29.0 ✱
Tips for getting started:
1. Use natural language to describe what you want to build.
2. Ask for file analysis, editing, bash commands and more.
3. Be specific as you would with another engineer for best results.
4. Type /exit or press Ctrl+C to quit.
/help for help
Ollama·gemma4:12b·~/Library/Preferences/nanocoder/agents.config.json·⎇ main (default)
What would you like me to help with?
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▶ normal mode on · ctx: ~1%
[ 02 ]

Nanotune

Fine-tune LLMs locally on your own hardware. Optimize weights for your specific workflows effortlessly.

  • >LoRA & QLoRA training
  • >Automated benchmarking
  • >GGUF/Ollama export support
Nanotune - Training
Model: Qwen/Qwen2.5-Coder-1.5B-Instruct
Examples: 782
Iterations: 150
Progress:████████████████████100%
Iteration: 150/150
Training Loss
1.070.15
Train Loss: 0.1500
[Ctrl+C] Stop training (checkpoint saved)
[ 03 ]

Sentinel

Alpha

Continuous, configurable security and code audits across the repositories in your GitHub organisation, filed as issues for a human to act on.

  • >Scheduled organisation-wide audits
  • >Rule packs you write
  • >Findings filed as issues
  • >Local models as a first-class path

In alpha and under active development toward v1. Expect breaking changes, and treat it as a triage layer rather than a replacement for a formal security audit.

$ npx @nanocollective/sentinel init
+ sentinel.yaml
+ .github/workflows/sentinel.yml
+ rule-packs/
$ sentinel run --rule-pack ./rule-packs/anchor.md
audited 4 repositories · 3 findings
filed my-org/payments#218 [high]

Featured Packages

Lightweight utilities built by the community.

[ pkg ]

get-md

A fast, lightweight HTML to Markdown converter optimized for LLM consumption. Clean, well-structured markdown with intelligent content extraction.

[ pkg ]

prompt-scrub

Local-first PII scrubbing for LLM prompts. Maps emails, secrets, and paths to stable placeholders and rehydrates model responses locally.

[ pkg ]

json-up

A fast, type-safe JSON migration tool with Zod schema validation. Fluent builder API with automatic version tracking and full TypeScript type inference.

Why Nano Collective

The principles behind our tools.

[01]

Privacy First

Your code, your data. Our tools are built to run in environments where you retain complete control over your intellectual property.

[02]

Open Source

Built in public by developers, for developers. We believe the future of AI tooling should not be locked behind proprietary APIs.

[03]

Local First

Harness the power of your own hardware. Run powerful AI workflows locally without cloud lock-in or subscription fees.

Supported by

Sponsorship funds the people building open, privacy-respecting AI tools, and keeps every line of it free at the point of use.

Become a sponsor
[ Your brand here ]

Latest Updates

From the community discussions.

[ View All ]

Nanotune v1.6.0: Nanotune works without a terminal

Annoucements/by will-lamerton

Choosing your Nanocoder extension point

Articles/by will-lamerton

Why we updated how we describe Nanocoder

Articles/by will-lamerton

Introducing Sentinel: a Nanocoder-driven audit workflow for your GitHub org

Annoucements/by will-lamerton

Nanocoder v1.29.0: native VS Code GUI, subagent attach, prompt scrubbing

Annoucements/by will-lamerton
[ Join the Collective ]

Bring your project under the umbrella.

The Nano Collective is a home for independent projects, not only our own. If you are building AI tooling that respects privacy, runs on the user's own hardware, or opens up something proprietary, it can ship under the collective's brand, distribution rails, and infrastructure defaults. Anyone can propose. No application form, no contribution history required.

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