NanoClaw
Run chat-connected assistants in separate Linux containers.
Overview
What you provide
- A chat task, configured channel, container runtime and model authentication
What you get
- Assistant replies, container-executed work and retained context
Setup & workflow
- Clone the repository and follow nanoclaw.sh with Docker and a supported model provider.
- Prepare the input: A chat task, configured channel, container runtime and model authentication.
- Run a small, reversible example and inspect the output: Assistant replies, container-executed work and retained context.
- Review channel pairing, mounted folders and provider permissions before agent work.
Requirements & installation
- Configure the documented runtime and authorized service access before attempting this workflow.
Limits & review
- Container isolation does not make every task safe or include model-inference costs.
- Evidence review only: the product was not installed or tested in this crawl.
Your part
- Review channel pairing, mounted folders and provider permissions before agent work.
When to consider another product
Unreviewed production decisions, unrestricted account access or guaranteed factual results.
Tasks & use cases1
Automate repetitive work across apps
Task links are limited to the documented workflow. Infrastructure and model components are not treated as ready-made end-user agents.
- Prepare
- A chat task, configured channel, container runtime and model authentication
- Get
- Assistant replies, container-executed work and retained context
- Your part
- Review channel pairing, mounted folders and provider permissions before agent work.
Plans & billing details
Cost planning
- Review scope is licensing and documented free-use boundaries, not numeric prices or current hosted-plan allowances.
Published prices are a snapshot. Confirm billing cycle, taxes and current allowances with the provider.
Sources & verification3
This profile is based on official sources, not a hands-on product test.
Vendor descriptions and demos document advertised features. Editorial guidance is based on these sources.
Discovered via OpenFree.Tools.
- NanoClaw — official READMEraw.githubusercontent.com
The maintainer README supports this scope: Run chat-connected assistants in separate Linux containers.
- NanoClaw — product entry pointnanoclaw.dev
The public product entry point was retrieved. Functional scope and setup in this record are grounded in the linked maintainer README.
- NanoClaw — license termsraw.githubusercontent.com
The retrieved license materials support this boundary: MIT. Review the complete terms for your use case.
Frequently asked questions
What does NanoClaw do?
Run chat-connected assistants in separate Linux containers.
How much does NanoClaw cost?
Software or published weights are available under MIT. Model inference, external services and your own compute are separate; hosted plan prices were not reviewed.
What should I check before using NanoClaw?
Container isolation does not make every task safe or include model-inference costs.
