goose vs nanobot
The two are close in size: 53.9k stars for goose, 47.7k for nanobot. Over the days we have tracked them goose moved +5.3% and nanobot +4.3%, so goose is growing faster right now.
nanobot leads on context depth and noise control. goose does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
A native, local-first agent with desktop app, CLI, and an extensible plugin ecosystem (Model Context Protocol) plus broad provider support.
- Stars
- 53.9k
- Tracked growth
- +5.3%
- Maturity
- ●●●●●
- Last commit
- 8h ago
- Language
- Rust
- License
- Apache-2.0
- Cost to run
- Your API key for cloud models; can use local models.
An ultra-lightweight, self-hosted personal agent runtime that pairs a small, readable core with built-in WebUI, persistent memory, automation, and flexible model routing for long-running workflows.
- Stars
- 47.7k
- Tracked growth
- +4.3%
- Maturity
- ●●●●●
- Last commit
- 18h ago
- Language
- Python
- License
- MIT
- Cost to run
- Your API key; optional paid hosting
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | goose | nanobot |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Diff/File only | ●●●●● Diff + related files |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● None mentioned | ●●●●● Basic filters/config |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Extensions & distro | ●●●●● Presets & automations |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hostable | ●●●●● Fully local possible |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● BYO key & local | ●●●●● Bring-your-own-key |
Setup ease What it takes to get a first useful run out of it. | ●●●●● One-command install | ●●●●● One-command start |
Which one to pick
Pick goose if…
Privacy-first — run a native desktop/CLI agent locally while still using your preferred cloud or local models and many extensions.
Pick nanobot if…
Self-hosted — run a lightweight, extendable personal agent locally (or with your own API keys) that includes WebUI, long-term memory, and automation for persistent workflows.
- Context depth: Diff + related files (3/5 against 1/5)
- Noise control: Basic filters/config (3/5 against 1/5)
What people want from each one
aaif-goose/goose
Hacker News: Goose: An open-source, extensible AI agent that goes beyond code suggestions drew 249 points and 68 comments.
HKUDS/nanobot
Hacker News: Nanobot: Ultra-Lightweight Alternative to OpenClaw drew 257 points and 128 comments.
Questions people ask
Is goose better than nanobot?
nanobot leads on context depth and noise control. goose does not take any axis by a clear margin. goose is worth picking when privacy-first — run a native desktop/CLI agent locally while still using your preferred cloud or local models and many extensions.
Which of goose and nanobot keeps my code private?
goose: Self-hostable (4/5). nanobot: Fully local possible (5/5).
What does each one cost to run?
goose: Your API key for cloud models; can use local models.. nanobot: Your API key; optional paid hosting.
Full profiles: aaif-goose/goose and HKUDS/nanobot. Everything else in Personal assistants.