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langchain - 💡(How to fix) Fix Add Synapse as a community integration (privacy-first AI memory) [1 comments, 2 participants]

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langchain-ai/langchain#35246•Fetched 2026-04-08 00:26:57
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Code Example

pip install langchain-synapse
# or
pip install langgraph-synapse
RAW_BUFFERClick to expand / collapse

What is Synapse?

Synapse is a neuroscience-inspired memory database for AI agents. It provides privacy-first, local-only memory with semantic recall — no API calls, no cloud storage, zero external dependencies.

Integration Packages (published on PyPI)

  • langchain-synapse — SynapseMemory (BaseMemory), SynapseChatMessageHistory (BaseChatMessageHistory), SynapseRetriever (BaseRetriever)
  • langgraph-synapse — SynapseCheckpointer (BaseCheckpointSaver), SynapseStore (BaseStore)

Why Synapse?

  • 🔒 Privacy-first: All memory stays local. No cloud. No API calls for storage.
  • 🧠 Neuroscience-inspired: Memory strengthening, decay, consolidation, and semantic recall — not just vector similarity.
  • ⚡ Zero dependencies: Pure Python. Works anywhere Python runs.
  • 📦 Portable: .synapse files can be shared, versioned, and federated across agents.
  • 🚀 Fast: BM25 + concept graphs + optional local embeddings. Sub-millisecond recall for typical workloads.

Installation

pip install langchain-synapse
# or
pip install langgraph-synapse

Request

Would love to have Synapse listed on the LangChain integrations page as a memory/retriever provider. The packages follow the standard langchain-* naming convention and implement the proper base classes.

Repository: https://github.com/raghuram369/synapse

extent analysis

Problem Summary

No problem is described in the issue body, but it seems to be a request to add Synapse to the LangChain integrations page.

Root Cause Analysis

Not applicable, as there is no problem to analyze.

Fix Plan

To add Synapse to the LangChain integrations page, follow these steps:

1. Verify Synapse packages

Ensure that the langchain-synapse and langgraph-synapse packages are correctly implemented and follow the standard langchain-* naming convention.

2. Update LangChain documentation

Add Synapse to the LangChain integrations page by creating a new section or updating the existing one. Provide a brief description of Synapse and its features.

3. Add Synapse to the LangChain integrations code

Update the LangChain code to include Synapse as a memory/retriever provider. This may involve adding a new class or modifying an existing one.

4. Test Synapse integration

Verify that Synapse is correctly integrated with LangChain by testing its functionality.

Example Code (simplified)

# langchain/integrations/providers.py
class SynapseMemory(BaseMemory):
    # implementation

class SynapseRetriever(BaseRetriever):
    # implementation

# langchain/integrations/providers/__init__.py
providers = {
    # existing providers...
    'synapse': SynapseMemory,
    'synapse_retriever': SynapseRetriever,
}
# docs/langchain/integrations/providers/overview.md
## Synapse
Synapse is a neuroscience-inspired memory database for AI agents. It provides privacy-first, local-only memory with semantic recall.

### Features
- 🔒 Privacy-first: All memory stays local. No cloud. No API calls for storage.
- 🧠 Neuroscience-inspired: Memory strengthening, decay, consolidation, and semantic recall — not just vector similarity

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langchain - 💡(How to fix) Fix Add Synapse as a community integration (privacy-first AI memory) [1 comments, 2 participants]