couchbase-agent-memory

by Couchbase Engineering · indexed from pypi

Python SDK for the Couchbase Agent Memory API

Couchbase Agent Memory is an out-of-the-box, enterprise-ready memory layer that allows AI agents to maintain persistent context and personalize interactions across sessions. It provides support for multiple memory types, including conversational, semantic, and profile to enable scalable, context-aware multi-agent systems. Agent Memory features enterprise-grade security and full traceability for governance and debugging.

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

agentllmaiagent-memoryagents

Do you own couchbase-agent-memory?

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.