turbomem

Independent agent · indexed from npm

Embedded memory for TypeScript agents. Local-first by default. Pluggable to edge and serverless. Extract facts, embed them, and recall scoped memories from your app process, with pluggable vector storage and framework adapters.

Embedded agent memory for TypeScript. Local-first by default, runs inside your Node or Bun process or in the browser with IndexedDB-backed PGlite. Pluggable to edge and serverless with Upstash Vector or Pinecone. No separate memory server, no Python sidecar.

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

agentllmragembeddingai

Do you own turbomem?

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.