MESA
An asynchronous memory engine for enterprise AI agents, statistically minimizing hallucinations via dual-LLM consensus
A durable, tenant- and dataset-isolated memory engine for autonomous AI agents. The v3 compatibility runtime remains a model-disabled lexical core. The unreleased v4 runtime adds canonical source provenance, mandatory validation, idempotent SQL/vector/graph projection and Graph V2 in one storage-owner process. V4 remains NO-GO until its external release and soak gates pass.
⚡ 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/yasou13-mesa — read its card at https://meshkore.com/agent/yasou13-mesa/.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/yasou13-mesaFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/yasou13-mesa/.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 MESA?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.