Lesson 945 of 2116
NanoClaw: Why Smaller Agent Runtimes Exist
A tiny claw-style runtime trades features for auditability, speed, and fewer places for an always-on agent to go wrong.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1NanoClaw: Why Smaller Agent Runtimes Exist
- 2Build A Single-Purpose NanoClaw Agent
- 3Build A Single-Purpose NanoClaw Agent
- 4NanoClaw Needs An Audit Log From Day One
Concept cluster
Terms to connect while reading
Section 1
NanoClaw: Why Smaller Agent Runtimes Exist
A tiny claw-style runtime trades features for auditability, speed, and fewer places for an always-on agent to go wrong.
- 1Name the job before naming the tool.
- 2Write the smallest useful scope the agent can finish.
- 3Run the result as a user, not as a fan of the tool.
- 4Inspect the diff, data access, and failure path before sharing.
Use this as the working prompt or checklist for the lesson.
List what your tiny runtime must do: receive task, load one profile, call one model, run one approved tool, write one log. Everything else is optional.- What should the user be able to do when this is finished?
- What data should the app or agent never expose?
- What test proves the change works?
- What rollback path exists if the output is wrong?
Key terms in this lesson
Section 2
Build A Single-Purpose NanoClaw Agent
Section 3
Build A Single-Purpose NanoClaw Agent
A small agent should have one trigger, one output, and one owner. That clarity is the feature.
- 1Name the job before naming the tool.
- 2Write the smallest useful scope the agent can finish.
- 3Run the result as a user, not as a fan of the tool.
- 4Inspect the diff, data access, and failure path before sharing.
Use this as the working prompt or checklist for the lesson.
Create a release-note agent: trigger on a merged PR list, read git log, write CHANGELOG draft, never push or deploy.- What should the user be able to do when this is finished?
- What data should the app or agent never expose?
- What test proves the change works?
- What rollback path exists if the output is wrong?
Section 4
NanoClaw Needs An Audit Log From Day One
Section 5
NanoClaw Needs An Audit Log From Day One
Small does not mean invisible. Every model call, tool call, and file write should leave a readable trail.
- 1Name the job before naming the tool.
- 2Write the smallest useful scope the agent can finish.
- 3Run the result as a user, not as a fan of the tool.
- 4Inspect the diff, data access, and failure path before sharing.
Use this as the working prompt or checklist for the lesson.
Log JSON lines: timestamp, task_id, model, prompt_hash, tool, args_summary, result_status, files_changed.- What should the user be able to do when this is finished?
- What data should the app or agent never expose?
- What test proves the change works?
- What rollback path exists if the output is wrong?
Section 6
Provider Swaps Without Rewriting The Agent
Section 7
Provider Swaps Without Rewriting The Agent
A tiny runtime can still support OpenAI, Anthropic, Ollama, or OpenRouter if it hides providers behind one interface.
- 1Name the job before naming the tool.
- 2Write the smallest useful scope the agent can finish.
- 3Run the result as a user, not as a fan of the tool.
- 4Inspect the diff, data access, and failure path before sharing.
Use this as the working prompt or checklist for the lesson.
Define a ModelClient interface with generate(messages, tools). Implement one cloud provider and one Ollama provider with the same return shape.- What should the user be able to do when this is finished?
- What data should the app or agent never expose?
- What test proves the change works?
- What rollback path exists if the output is wrong?
Section 8
When NanoClaw Is The Wrong Choice
Section 9
When NanoClaw Is The Wrong Choice
A tiny runtime is not ideal for teams, complex permissions, plugin marketplaces, or regulated audit needs. Know when to graduate.
- 1Name the job before naming the tool.
- 2Write the smallest useful scope the agent can finish.
- 3Run the result as a user, not as a fan of the tool.
- 4Inspect the diff, data access, and failure path before sharing.
Use this as the working prompt or checklist for the lesson.
Write a graduation checklist: multiple users, secrets backend, signed skills, role-based permissions, web UI, backups, and incident logs.- What should the user be able to do when this is finished?
- What data should the app or agent never expose?
- What test proves the change works?
- What rollback path exists if the output is wrong?
End-of-lesson quiz
Check what stuck
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