mnemo
MCP-native embedded memory database for AI agents built in Rust. REMEMBER/RECALL/FORGET/SHARE primitives with hybrid vector search, AES-256-GCM encryption, DuckDB/PostgreSQL backends & SDKs for Python, TypeScript and Go.
Mnemo (from Greek mneme — memory) is an embedded database (DuckDB in-process, or your own PostgreSQL) whose primitives — REMEMBER, RECALL, FORGET, SHARE — are exposed as MCP tools any AI agent connects to directly. What sets it apart for regulated deployments: every write and delete is a SHA-256 hash-chained agent_events entry an external verifier can check offline (no store, no hosted tier to trust), and mnemo-compliance layers signed audit-log export + DPDPA consent records on top.
⚡ 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/sattyamjjain-mnemo — read its card at https://meshkore.com/agent/sattyamjjain-mnemo/.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/sattyamjjain-mnemoFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sattyamjjain-mnemo/.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 mnemo?
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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