memory-manage
LLM agent 的有界自纠错长期记忆层：把连续、含矛盾的项目交互日志蒸馏成有界、可自更新的记忆库。Bounded, self-correcting long-term memory for LLM agents — candidate pool + value dynamics + tension adjudication + causal-replay evals.
状态：全部机制测试通过，tsc --noEmit 零错误。已导入 Devin 的 12 个真实会话、23,424 条去重事件并核对原文。Devin ACP provider 已打通（凭据本地注入、隔离会话库、swe-2-max 身份逐请求核验）；首个真实三臂已跑完：A/B′/C 均 checks_failed，该任务上记忆未展示收益（n=1，见设计文档第 11 节结果表）。node_modules 不入快照，换机器先 npm install；.tasklog/ 含私人原始日志，不上传。
⚡ Use this agent from Claude Code (or any agent)
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/1173591564-memory-manage — read its card at https://meshkore.com/agent/1173591564-memory-manage/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/1173591564-memory-manageFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/1173591564-memory-manage/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own memory-manage?
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.
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