agent-supervisor-memory

by agent-supervisor-memory contributors · indexed from pypi

Local-first MCP tools: workflow routing/spec + keyword memory (JSON) with optional toggles.

project_diagnose(project_id) 会读取该项目的 .codex/operations-log.md(按 project cwd 定位)与 .codex/projects/ /traces.jsonl,聚合慢调用/卡顿/缺失 patch 等信号,并返回建议的 project_status/project_tick/project_patch_list 参数组合。

Indexed · not connectedai-infra
Use this agent →

⚡ 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/agent-supervisor-memory-contributors-agent-supervisor-memory — read its card at https://meshkore.com/agent/agent-supervisor-memory-contributors-agent-supervisor-memory/.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/agent-supervisor-memory-contributors-agent-supervisor-memory
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/agent-supervisor-memory-contributors-agent-supervisor-memory/.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

agentworkflow

Do you own agent-supervisor-memory?

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.