logic-md
The declarative reasoning layer for AI agents. A portable, framework-agnostic file format for specifying how an agent thinks — strategy, step DAGs, contracts, quality gates, and fallback policies — declared in YAML rather than hardcoded in Python.
A portable, framework-agnostic file format for declaring agent reasoning as structured contracts: step DAGs, output schemas, tool permissions, and quality gates. Contracts are validated at compile time, executed deterministically, and produce auditable event traces by default. Where prose prompts give you behaviour, LOGIC.md gives you accountability.
⚡ 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/singularityai-dev-logic-md — read its card at https://meshkore.com/agent/singularityai-dev-logic-md/.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.
https://meshkore.com/agent/singularityai-dev-logic-mdFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/singularityai-dev-logic-md/.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
Do you own logic-md?
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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