ia-orchestrating-swarms

Solid

Coordinate multi-agent swarms for parallel and pipeline workflows. Use when coordinating multiple agents, running parallel reviews, building pipeline workflows, or implementing divide-and-conquer patterns with subagents.

AI & Automation 33 stars 3 forks Updated 3 days ago MIT

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Quality Score: 85/100

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100
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80
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Description 5%
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Skill Content

# Swarm orchestration ## Primitives For Claude Code teams, see [primitives.md](./references/primitives.md). In Codex, use the active collaboration-tool schemas and [codex-quick-reference.md](./references/codex-quick-reference.md); do not assume Claude's team files or task store exist. --- ## Two Ways to Spawn Agents Resolve the host primitives before dispatching: - **Claude Code:** `Task(...)` for short-lived subagents; `Teammate(...)` plus named `Task(...)` for persistent teams. - **Codex:** `spawn_agent(...)` for short-lived subagents; `send_message(...)`, `followup_task(...)`, and `wait_agent(...)` for coordination. Use persistent teammates only when the active Codex environment exposes that capability. - **Other harnesses:** use their native subagent surface. If none exists, execute the units sequentially in the main thread. The comparison and examples immediately below describe Claude's two dispatch modes. Codex uses `spawn_agent` for both one-shot and follow-up work: ```javascript spawn_agent({ task_name: "find_auth", fork_turns: "all", message: "Find the auth entry points and return paths only." }) ``` Never emit a tool name or argument the active harness does not expose. | Aspect | Task (subagent) | Task + team_name + name (teammate) | |--------|-----------------|-----------------------------------| | Lifespan | Until task complete | Until shutdown requested | | Communication | Return value | Inbox messages | | Task access | None | Shared task list | | Team ...

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Author
iliaal
Repository
iliaal/whetstone
Created
6 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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