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README.md

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# A2M — AgentToMemory Protocol
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# Agent2Memory (A2M) Protocol
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> A shared memory protocol for AI agents across frameworks.
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a2m-protocol.html

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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>A2M — AgentToMemory Protocol</title>
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<title>Agent2Memory (A2M) Protocol</title>
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<style>
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*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
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</section>
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<footer>
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A2M — AgentToMemory Protocol &nbsp;·&nbsp; Draft v0.1 &nbsp;·&nbsp; Built with ♥ by the Numel team
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Agent2Memory (A2M) Protocol &nbsp;·&nbsp; Draft v0.1 &nbsp;·&nbsp; Built with ♥ by the Numel team
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</footer>
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</body>

adapters/agno_vectordb.py

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"""
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A2M — AgentToMemory Protocol
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Agent2Memory (A2M) Protocol
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Agno adapter: A2MAgnoVectorDb
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Concrete implementation of Agno's VectorDb abstract base class.

adapters/langchain_basechatmessagehistory.py

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"""
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A2M — AgentToMemory Protocol
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Agent2Memory (A2M) Protocol
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LangChain adapter: A2MLangChainBaseChatMessageHistory
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Implements LangChain's BaseChatMessageHistory interface (langchain-core ≥ 0.1).

adapters/langchain_vectorstore.py

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"""
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A2M — AgentToMemory Protocol
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Agent2Memory (A2M) Protocol
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LangChain adapter: A2MLangChainVectorStore
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Implements LangChain's VectorStore abstract base class (langchain-core ≥ 0.1).

client/client.py

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"""
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A2M — AgentToMemory Protocol
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Agent2Memory (A2M) Protocol
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Python client library.
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Wraps the A2M REST API with a clean, namespace-scoped interface.

examples/agno_a2m_agent.py

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What this demonstrates:
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┌──────────────────────────────────────────────────────────────────────┐
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│ Relational backend (A2MAgnoBaseDb) │
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│ Relational backend (A2MAgnoBaseDb)
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│ - Stores structured user facts (UserMemory objects) │
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│ - Exact key/tag lookup — no embeddings needed │
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│ - Used by Agno's MemoryManager for persistent user memories │

examples/langchain_a2m_agent.py

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What this demonstrates:
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┌──────────────────────────────────────────────────────────────────────┐
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│ Relational backend (A2MLangChainBaseChatMessageHistory)
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│ Relational backend (A2MLangChainBaseChatMessageHistory) │
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│ - Stores every conversation turn as an A2M episodic entry │
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│ - Exact retrieval by namespace — no embeddings needed │
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│ - Used by RunnableWithMessageHistory for multi-turn memory │
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├─► embed_query ──► VectorStore.similarity_search ──► context docs [Vector]
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├─► history.messages ───────────────────────────────► past turns [Relational]
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├─► history.messages ───────────────────────────────► past turns [Relational]
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ChatPromptTemplate (system + history + context + question)
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ChatModel (FakeListChatModel / ChatOpenAI / ...)
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AIMessage ──► history.add_messages ───────────────────► stored turn [Relational]
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AIMessage ──► history.add_messages ───────────────────► stored turn [Relational]
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"""
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import math

requirements.txt

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# A2M — AgentToMemory Protocol
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# Agent2Memory (A2M) Protocol
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# Core server + client (no heavy dependencies)
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fastapi>=0.110
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uvicorn[standard]>=0.29

server/api.py

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"""
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A2M — AgentToMemory Protocol
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Agent2Memory (A2M) Protocol
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FastAPI router — all REST endpoints + WebSocket subscription.
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Namespace routing uses {namespace:path} so that namespaces containing "/" are

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