CogniMem
Zero-LLM cognitive memory architecture for AI agents
CogniMem is an innovative AI memory system that does not rely on any large language model. By simulating the brain's "associative thinking" and "hierarchical memory" mechanisms, it achieves 84.2% keyword hit rate and 26.4% exact match hit rate on the LoCoMo long-term dialogue benchmark, surpassing all publicly available zero-LLM solutions and approaching the performance of production systems that rely on GPT-4-level models.
⚡ 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/monemie113-cell-cognimem — read its card at https://meshkore.com/agent/monemie113-cell-cognimem/.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/monemie113-cell-cognimemFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/monemie113-cell-cognimem/.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 CogniMem?
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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