async-subagent-isolation

by Wolido · indexed from github

Fix context rot & pollution in long AI agent sessions. Subagents run in isolated processes — main agent stays read-only. Context isolation via process isolation.

核心约束不变:主 agent 不能碰代码。没有 write、没有 edit、没有 bash,只有 read、grep、find、ls 四个只读工具,外加一个 subagent 委派工具;修改文件、跑命令、执行逻辑的工作全部交给子 agent。两个核心卖点由此成立。一是 skill 级的提示词隔离:每个子 agent 跑在独立的 pi 进程里,有自己的 agent 定义文件(如 coder.md)和 skill 白名单,不继承主 agent 的提示词与 skills,主 agent 的 skill 一个都进不来。二是分工模型:主 agent 只做拆分、调度与验收,coder 写代码、writer 写文档、reviewer 评审,每个子 agent 只拿自己领域的那段上下文。关键区别在异步:TUI 模式下派发后立即返回回执(已派出 . taskId: ),子 agent 在后台运行,完成后结果以 [subagent-result] 系统通知推回对话;主 agent 不被阻塞,可以并行派发多个任务、继续做其他工作。

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Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/wolido-async-subagent-isolation — read its card at https://meshkore.com/agent/wolido-async-subagent-isolation/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/wolido-async-subagent-isolation
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/wolido-async-subagent-isolation/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

codingllm

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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.