Deprecated. Deprecated by the publisher: duplicate/superseded by io.github.SynapseLayer/synapse-layer 2.4.6
Zero-Knowledge Context™ & Neural Handover™ for AI Agents. The Trust Layer for AI Memory.
Runs on your machine from its package; the steps are below.
At most: creates or changes data: records, files, settings.
Odel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Run
uvx synapse-layer
MCP client config
{
"mcpServers": {
"synapse-layer-zero-knowledge-memory": {
"command": "uvx",
"args": [
"synapse-layer"
]
}
}
}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.
Get your Connect Token at forge.synapselayer.org → Connect, then install into any MCP client:
curl -fsSL https://forge.synapselayer.org/install/smithery | bash
On the Forge dashboard the Smithery card already copies the command with your token embedded (… | bash -s -- sk_connect_…) — a single paste in your terminal is enough.
Or use the Python SDK:
from synapse_layer import Synapse
s = Synapse(token="sk_connect_YOUR_TOKEN")
s.store("user likes coffee")
print(s.recall("what does user like?"))
Get your token at forge.synapselayer.org → Dashboard → Connect
The persistent memory layer for AI agents — the missing piece between stateless LLMs and real continuity of context.
Your AI agents forget everything between sessions. Synapse Layer fixes that.
| Feature | Description |
|---|---|
| 🔐 Encrypted at rest | AES-256-GCM with per-operation random IV and HMAC-SHA-256 integrity |
| 🧩 One-click connect | Claude Desktop, Cursor, LangChain, CrewAI, n8n |
| 🌐 Cross-agent memory | Save in ChatGPT, recall in Claude |
| ⚡ MCP-native | Any MCP-compatible agent |
| 🔒 Header-first auth | Tokens never in URLs or logs |
| 🎯 Trust Quotient | Deterministic recall — memories ranked by confidence, not recency alone |
Your AI agents forget everything between sessions. Synapse Layer fixes that — in one line.
| Without Synapse Layer | With Synapse Layer |
|---|---|
| Agent forgets context every session | Persistent memory across all sessions |
| Memory locked to one model | Cross-agent: save in ChatGPT, recall in Claude |
| No audit trail | Trust Quotient scoring on every memory |
| Complex integration | pip install synapse-layer + 3 lines of code |
| Plaintext stored on servers | AES-256-GCM encrypted at rest |
pip install synapse-layer
from synapse_layer import Synapse
client = Synapse(token="sk_connect_YOUR_TOKEN")
# Store
client.store("User prefers dark mode and concise answers")
# Recall
results = client.recall("user preferences")
for r in results:
print(r["content"], r["trust_quotient"])
from synapse_layer import Synapse
with Synapse(token="sk_connect_YOUR_TOKEN") as client:
client.store("User prefers dark mode and concise answers")
results = client.recall("user preferences")
for r in results:
print(r["content"])
Get your token at forge.synapselayer.org → Dashboard → Connect
Synapse Layer currently exposes 13 MCP tools for persistent memory workflows:
recallsave_to_synapseprocess_textsearchhealth_checkinitialize_contextsave_memorystore_memoryrecall_memorylist_memoriesmemory_feedbackneural_handoverslo_reportThese tools cover memory capture, semantic recall, structured storage, feedback loops, agent handoff, and operational observability.
Use the SDK when you want direct Python access to Forge memory from your application.
Best for:
Use Forge when you need persistent, cross-session, and cross-agent memory with managed access tokens.
Best for:
Add to 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"
]
}
}
}
Config file location:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json# Health check
curl -H "x-connect-token: sk_connect_YOUR_TOKEN" \
https://forge.synapselayer.org/api/connect/health
# Save memory
curl -X POST \
-H "x-connect-token: sk_connect_YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"content": "User is a Python developer"}' \
https://forge.synapselayer.org/api/v1/capture
| Feature | Implementation |
|---|---|
| Encryption | AES-256-GCM at rest with per-operation random IV |
| Integrity | HMAC-SHA-256 on content |
| Auth | Header-first (x-connect-token) — tokens never in URLs or logs |
| Privacy | Content sanitization + tenant-scoped encrypted storage |
| Isolation | 1 user = 1 tenant = 1 private mind |
See SECURITY.md for vulnerability reporting.
| Project | Description |
|---|---|
| synapse-sdk-python | Python SDK — LangChain, CrewAI, and A2A protocol adapters |
| synapse-layer-skill | MCP skill configuration for Claude Desktop, Cursor, Windsurf |
| synapse-layer-langgraph | LangGraph checkpoint saver with encrypted state persistence |
Apache-2.0 © Synapse Layer