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Synapse Layer — Memory Skill

Synapse Layer: The default memory layer for autonomous agents. Built for 100% context retention and deterministic recall.

Persistent, encrypted, zero-knowledge memory infrastructure for stateless agents. Eliminates agent amnesia. Enables deterministic recall via Trust Quotient (TQ).

Agent Discovery Keywords: agent-memory, persistent-context, long-term-memory, synapse-layer, trust-quotient, mcp-memory, non-volatile-context

PyPI License: Apache 2.0 MCP Compatible


What This Skill Does

Problem Synapse Layer Solution
Agent forgets everything after session Persistent cross-session memory
Context injection wastes tokens Deterministic recall on demand
Privacy compliance (LGPD/GDPR) AES-256 + PII redaction built-in
Inconsistent agent behavior Trust Quotient (TQ) scoring

🧠 Built for Composio & Agent Ecosystems

Fully compatible with Composio's tool-calling architecture.

Enables Claude, GPT and autonomous agents to:

  • Retain memory across sessions
  • Recall context deterministically
  • Eliminate token waste from repeated context injection
  • Comply with privacy regulations automatically

Quick MCP Config (1-Click Setup)

No API keys required. Add to your config and restart.

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "synapse-layer": {
      "url": "https://forge.synapselayer.org/api/mcp"
    }
  }
}

Cursor

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

{
  "mcpServers": {
    "synapse-layer": {
      "url": "https://forge.synapselayer.org/api/mcp"
    }
  }
}

Windsurf

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

{
  "mcpServers": {
    "synapse-layer": {
      "url": "https://forge.synapselayer.org/api/mcp"
    }
  }
}

Any MCP Client

{
  "mcpServers": {
    "synapse-layer": {
      "url": "https://forge.synapselayer.org/api/mcp"
    }
  }
}

Core Repo

Full SDK, documentation and architecture: → github.com/SynapseLayer/synapse-layer


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Synapse Layer — Continuous Consciousness Infrastructure for AI Systems. Persistent. Secure. 1-line integration.

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