SynapseLayer/synapse-layer
by Various
MCP-native infrastructure for persistent AI agent memory with encrypted storage, semantic retrieval and cross-agent continuity.
MCP
SynapseLayer/synapse-layer
Added 8 Sept 2026
Overview
MCP-native infrastructure for persistent AI agent memory. Provides encrypted storage, semantic retrieval and cross-agent continuity for agents built on the Model Context Protocol. Written in Python.
Best for
Best for
Developers building MCP-based AI agents needing persistent, encrypted shared memory
Use cases
- Persist agent memory across sessions
- Enable semantic retrieval of stored memories
- Share memory state across multiple agents
How to use
Install
pip install synapse-layerClients listed in this record (not verified here)
Claude Desktop, Cursor, Windsurf, ChatGPT
Notes
13 stars on GitHub. Last updated 2026-09-05. Licensed Apache-2.0.
Pros
- MCP-native design integrates with Model Context Protocol workflows
- Encrypted storage adds security for sensitive agent memory
- Supports cross-agent continuity for shared context
Cons
- Low GitHub star count (13) indicates limited community adoption
- Python only, so not directly usable from other language ecosystems
- Vendor is listed as Various, so support and maintenance are not clearly attributed
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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