SynapseLayer/synapse-layer

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-layer

Tested with

Claude Desktop, Cursor, Windsurf, ChatGPT

Notes

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.

13 stars on GitHub. Last updated 2026-09-05. Licensed Apache-2.0.

Use cases

• Persist agent memory across sessions
• Enable semantic retrieval of stored memories
• Share memory state across multiple agents

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.