Synapse Layer — Memory Skill

RAG retrieves. Synapse remembers.

Persistent memory infrastructure for AI agents — AES-256-GCM encrypted at rest, semantic search, MCP-native.

Synapse Layer is open-source persistent memory infrastructure for AI agents and assistants. Memories are encrypted at rest with AES-256-GCM, indexed via pgvector HNSW for semantic recall, and exposed through MCP JSON-RPC for native integration with Claude, GPT, Gemini, and any MCP-compatible client. Apache 2.0 licensed.

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The Problem

Every AI agent starts from zero.

No memory of past sessions. No context from other models. Every conversation is a blank slate.

Synapse Layer fixes that.

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How It Works

Claude ───────┐
│
Cursor ───────┼──→ Synapse Layer → governed recall → any agent
│
ChatGPT ──────┘

Save once. Recall anywhere. Encrypted memory. Per-operation random IV.

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Quick Install

Get your token first: forge.synapselayer.org → Dashboard → Connect

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
"mcpServers": {
"synapse-layer": {
"command": "npx",
"args": [
"mcp-remote",
"https://forge.synapselayer.org/api/mcp",
"--header",
"x-connect-token: sk_connect_YOUR_TOKEN"
]
}
}
}

Cursor

Edit .cursor/mcp.json in your project root:

{
"mcpServers": {
"synapse-layer": {
"command": "npx",
"args": [
"mcp-remote",
"https://forge.synapselayer.org/api/mcp",
"--header",
"x-connect-token: sk_connect_YOUR_TOKEN"
]
}
}
}

Windsurf

Edit ~/.codeium/windsurf/mcp_config.json:

{
"mcpServers": {
"synapse-layer": {
"command": "npx",
"args": [
"mcp-remote",
"https://forge.synapselayer.org/api/mcp",
"--header",
"x-connect-token: sk_connect_YOUR_TOKEN"
]
}
}
}

Any MCP Client

{
"mcpServers": {
"synapse-layer": {
"command": "npx",
"args": [
"mcp-remote",
"https://forge.synapselayer.org/api/mcp",
"--header",
"x-connect-token: sk_connect_YOUR_TOKEN"
]
}
}
}

Restart your client. Done.

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What Changes

Without Synapse Layer	With Synapse Layer
Agent forgets every session	Persistent memory across sessions
Context locked to one model	Cross-agent memory
Plaintext exposure risk	AES-256-GCM encrypted at rest
Repeated context injection	Governed recall on demand
No memory reliability signal	Trust Quotient scoring

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Python SDK

pip install synapse-layer

fromsynapse_memory.clientimportSynapseclient=Synapse(token="sk_connect_YOUR_TOKEN")
client.remember("User prefers concise technical responses")
results=client.recall("user preferences")
forresultinresults:
print(result)

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Trust & Security

• AES-256-GCM encryption at rest
• Per-operation random IV
• Trust Quotient memory scoring
• Header-first MCP auth
• Designed for LGPD/GDPR alignment
• Apache 2.0

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Troubleshooting

Symptom	Cause	Fix
401 Unauthorized	Missing or invalid token	Verify your sk_connect_ token at forge.synapselayer.org → Dashboard → Connect
ECONNREFUSED	Client not using mcp-remote	Ensure config uses npx mcp-remote with --header
Empty recall results	No memories stored yet	Call save_to_synapse first, then recall

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Production

• Live MCP endpoint: forge.synapselayer.org
• MCP tools: 5 active (recall, save_to_synapse, process_text, search, health_check)

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Related Projects

Project	Description
synapse-layer	Core server — MCP endpoint, encryption engine, pgvector indexing
synapse-sdk-python	Python SDK — LangChain, CrewAI, and A2A protocol adapters
synapse-layer-langgraph	LangGraph checkpoint saver with encrypted state persistence

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Links

• Website: synapselayer.org
• Forge (Dashboard): forge.synapselayer.org
• PyPI: pypi.org/project/synapse-layer
• Core Repo: github.com/SynapseLayer/synapse-layer
• MCP Endpoint: https://forge.synapselayer.org/api/mcp

Apache 2.0 © Synapse Layer