LangChain integrations for Exabase memory
Project description
Exabase M-1 Memory Provider for LangChain
Exabase M-1 memory-provider integration for LangChain.
About
Exabase Memory (M-1) is a self-organising memory engine for AI agents. It stores facts, preferences, and events, builds a living knowledge graph, resolves contradictions, and evolves with every interaction.
M-1 is SOTA on the leading AI memory benchmark (LongMemEval), with the highest recorded QA score, and using a small model. Read the research paper here.
| System | Model | Score |
|---|---|---|
| M-1 (Exabase) | Gemini 3 Flash | 96.4% |
| Mem0 | Gemini 3 Pro | 94.8% |
| Honcho | Gemini 3 Pro | 92.6% |
| HydraDB | Gemini 3 Pro | 90.79% |
| Supermemory | Gemini 3 Pro | 85.2% |
Exabase Memory powers memory in production apps like Fabric, used by 300,000+ people.
What this integration provides
ExabaseToolkit: tools for searching, adding, updating, and removing Exabase memoriesExabaseStore: a lightweight LangGraph/LangMem-compatible store adapterExabaseRetriever: LangChain retriever backed by Exabase memory searchexabase_memory_middleware: dynamic prompt middleware that injects relevant memories into conversations
Install
uv sync
For the package specifically:
uv run --package exabase-langchain python packages/langchain/examples/tools.py
Examples
See the examples/ folder for minimal scripts demonstrating each feature.
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