daytona vs nanoclaw
daytona is much bigger: 71.7k stars against 30.8k. Over the days we have tracked them daytona moved -0.8% and nanoclaw +3.2%, so nanoclaw is growing faster right now.
They split the axes: daytona leads on context depth, nanoclaw on privacy and model freedom.
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
Provides fast, stateful, OCI-compatible isolated sandboxes with dedicated kernels and persistent snapshots for running AI-generated code.
- Stars
- 71.7k
- Tracked growth
- -0.8%
- Maturity
- ●●●●●
- Last commit
- 51d ago
- Language
- mixed
- License
- none declared
- Cost to run
- Hosted service — account + API key
Provides compact, auditable agent runtime with true OS-level container isolation so agents run in separate containers with explicit mounts instead of one large shared process.
- Stars
- 30.8k
- Tracked growth
- +3.2%
- Maturity
- ●●●●●
- Last commit
- 3h ago
- Language
- TypeScript
- License
- MIT
- Cost to run
- Your API key (Anthropic/OpenAI) or local models
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 | daytona | nanoclaw |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Whole-repo access | ●●●●● Related files access |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Governance controls | ●●●●● Basic gating |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Configurable builder | ●●●●● Code-based customization |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Hosted cloud (API key) | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● No model freedom | ●●●●● Bring-your-own key |
Setup ease What it takes to get a first useful run out of it. | ●●●●● API key + quick start | ●●●●● One-script install |
Which one to pick
Pick daytona if…
Secure, stateful sandboxing — choose Daytona when you need isolated, persistent execution environments and APIs/SDKs to run AI-generated code reliably.
- Context depth: Whole-repo access (5/5 against 3/5)
Pick nanoclaw if…
Privacy-first — run agents in isolated Docker containers on your own machine with per-agent mounts and the option to use local or BYO models.
- Privacy: Self-hostable (4/5 against 2/5)
- Model freedom: Bring-your-own key (5/5 against 1/5)
What people want from each one
daytonaio/daytona
Hacker News: Show HN: Daytona – Open-source dev env manager from a 15-year journey drew 73 points and 24 comments.
nanocoai/nanoclaw
Hacker News: Show HN: NanoClaw – “Clawdbot” in 500 lines of TS with Apple container isolation drew 533 points and 224 comments.
Questions people ask
Is daytona better than nanoclaw?
They split the axes: daytona leads on context depth, nanoclaw on privacy and model freedom. daytona is worth picking when secure, stateful sandboxing — choose Daytona when you need isolated, persistent execution environments and APIs/SDKs to run AI-generated code reliably.
Which of daytona and nanoclaw keeps my code private?
daytona: Hosted cloud (API key) (2/5). nanoclaw: Self-hostable (4/5).
What does each one cost to run?
daytona: Hosted service — account + API key. nanoclaw: Your API key (Anthropic/OpenAI) or local models.
Full profiles: daytonaio/daytona and nanocoai/nanoclaw. Everything else in Runtimes & sandboxes.