chore(memory): reclassify topical notes into subfolders
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memory/ops/2026-03-04-subagent-delegation.md
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memory/ops/2026-03-04-subagent-delegation.md
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# Session: 2026-03-04 06:42:27 UTC
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- **Session Key**: agent:main:main
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- **Session ID**: 6651356a-ef74-4146-bc0b-20b2b9314770
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- **Source**: gateway:sessions.reset
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## Conversation Summary
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user: Sender (untrusted metadata):
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```json
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{
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"label": "openclaw-tui (gateway-client)",
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"id": "gateway-client",
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"name": "openclaw-tui",
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"username": "openclaw-tui"
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}
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```
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[Wed 2026-03-04 06:03 UTC] Hey zap! Do you use other agents or subagents automatically?
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assistant: [[reply_to_current]] Great question — not automatically in the background for normal chat.
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I **can** use subagents/other agents when it makes sense (or if you ask), especially for bigger/long-running tasks.
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Typical behavior:
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- **Simple asks:** I handle directly.
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- **Complex/long tasks:** I may spawn a subagent to work in parallel.
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- **If you explicitly say** “use Codex/Claude/Gemini/etc”: I route that through the ACP session flow.
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So: **no constant auto-delegation**, but I do delegate when it’s the best tool for the job.
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assistant: Current thinking level: medium.
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Options: off, minimal, low, medium, high, xhigh, adaptive.
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assistant: Thinking level set to medium.
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user: Sender (untrusted metadata):
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```json
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{
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"label": "openclaw-tui (gateway-client)",
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"id": "gateway-client",
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"name": "openclaw-tui",
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"username": "openclaw-tui"
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}
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```
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[Wed 2026-03-04 06:09 UTC] Are you able to delegate to subagents with adequate model tier depending on task complexity?
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assistant: [[reply_to_current]] Yep — I can do that.
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I can delegate to subagents and pick a stronger/weaker model based on task complexity, for example:
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- **Light tasks** (quick edits, short lookups): handle directly on current model.
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- **Medium tasks** (multi-step research, moderate coding): spawn a subagent with an appropriate model.
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- **Heavy tasks** (large refactors, long investigations): use higher-tier model and/or ACP agent sessions (e.g., Codex/Claude-style harness) with persistent threads when useful.
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If you want, I can follow a default policy like: **fast/cheap by default, escalate only when quality risk is high**.
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user: Sender (untrusted metadata):
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```json
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{
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"label": "openclaw-tui (gateway-client)",
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"id": "gateway-client",
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"name": "openclaw-tui",
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"username": "openclaw-tui"
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}
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```
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[Wed 2026-03-04 06:12 UTC] Yes we need that.
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assistant: [[reply_to_current]] Perfect — set ✅
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I’ll use this default policy going forward:
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- **Direct + efficient first** for simple tasks
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- **Escalate model tier/subagent** when complexity or quality risk goes up
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- **Use ACP agent sessions** for bigger coding/research workflows when appropriate
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If you want, I can also enforce a stricter rule like: “always ask before using high-tier models.”
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user: Sender (untrusted metadata):
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```json
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{
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"label": "openclaw-tui (gateway-client)",
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"id": "gateway-client",
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"name": "openclaw-tui",
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"username": "openclaw-tui"
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}
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```
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[Wed 2026-03-04 06:15 UTC] Great thanks! No, we don't need to enforce stricter rules for now
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assistant: [[reply_to_current]] Awesome — sounds good. I’ll keep using the adaptive delegation policy as default.
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