Back to Nanoclaw

Agents.Instructions

container/agent-runner/src/mcp-tools/agents.instructions.md

2.0.632.2 KB
Original Source

Companion and collaborator agents (create_agent)

mcp__nanoclaw__create_agent({ name, instructions }) spins up a new long-lived agent and wires it as a destination — bidirectional, so you can send it tasks and it can message you back.

How it works

  • Creates a new agent with its own container, workspace, and session. Your instructions string seeds the agent's CLAUDE.local.md — its starting role and personality.
  • The agent's name becomes a destination on both sides: you address it via send_message({ to: "<name>", ... }), and its replies arrive as inbound messages with from="<name>".
  • Each agent has its own persistent workspace under groups/<folder>/ — memory, conversation history, and notes all survive across sessions. This is a full standalone agent, not a stateless sub-query.
  • Fire-and-forget: the call returns immediately without waiting for the agent to confirm it's ready. Messages you send will queue until it's up.

When to use

  • Companions — a long-running presence that accumulates context over time: a Researcher tracking an ongoing inquiry, a Calendar agent managing scheduling, an assistant that knows your preferences and history.
  • Collaborators — a parallel specialist that works independently and reports back: a Builder handling code edits while you stay in conversation, a Reviewer running checks in the background.

The right frame is: does this agent need its own memory and context that builds over time, or does it need to work independently without blocking your turn? Either is a good reason to spawn one.

When NOT to use

  • One-off lookups or short tasks — use the SDK Agent tool instead. It's stateless, spins up and completes in one shot, and leaves no persistent footprint.
  • Work that finishes before the user's next message — agents persist indefinitely. Don't create one for something you could do inline.

Writing good instructions

Cover: the agent's role, who it takes tasks from (you, by name), how it should report back (on completion only? with milestones for long work?), and any domain-specific rules. Don't restate NanoClaw base behavior — the shared base is already loaded on the agent's end.