Agent Memory Protocol (AMP): Open Spec for Interoperable AI Agent Memory on Top of MCP
The Agent Memory Protocol (AMP) is an open specification that standardizes persistent memory for MCP-compatible AI agents, addressing memory fragmentation across backends like Mem0, smriti-memcore, and custom vector DBs.
Six Core Verbs
amp.encode— Store new memoriesamp.recall— Retrieve relevant memoriesamp.forget— Permanently delete memoriesamp.consolidate— Trigger backend reorganization or summarizationamp.pin— Mark important memories as permanentamp.stats— Get backend health and usage stats
Conformance Levels
AMP defines Core and Full conformance levels, ships with a JSON schema, compliance test suite, and a minimal example that runs with zero dependencies.
Reference Implementation
Install via pip: pip install amp-server — wraps smriti-memcore as a compliant backend. The spec is MIT-licensed and independent (not affiliated with Anthropic/MCP).
Community Feedback Wanted
The author wants input on: which backends to wrap first (Chroma, Pinecone, pgvector, Zep, etc.), missing verbs, and real-world pain points. PRs welcome.
📖 Read the full source: r/openclaw
👀 See Also
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