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Synapse Layer — Trust Infrastructure for AI Agents

io.github.SynapseLayer/synapse-layer · v2.4.6

Measured by MCP Station

Description written by the publisher, not verified

MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.

Connect

claude mcp add --transport http synapse-layer https://forge.synapselayer.org/api/mcp

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

Tools as reported by the server

• recall
  Retrieve relevant persisted memory using semantic, temporal, priority, or hybrid routing. Governance: requires reason (10–200 chars). Rate limit: 20/min.
• save_to_synapse
  Persist memory with encryption at rest, sanitization, and deduplication controls.
• process_text
  Extract candidate memories from free-form text with governance filters and sanitization.
• search
  Search persisted memory across agent scopes using full-text matching. Governance: requires reason (10–200 chars) because results contain plaintext content.
• health_check
  Check service availability, engine version, and storage health. Public method.
• initialize_context
  Initialize a persistent memory context for a conversation or agent session. Returns REDACTED metadata by default (detail="summary"). Use detail="full" with a reason (10–200 chars) to retrieve plaintext content under MEMORY_EXPORT_GOVERNANCE_V1.
• save_memory
  Save a memory entry to the persistent store. Alias of save_to_synapse.
• store_memory
  Store structured memory with metadata and trust scoring.
• recall_memory
  Recall persisted memory by query. Alias of recall.
• list_memories
  List memory metadata with pagination and governance limits.
• memory_feedback
  Submit feedback to adjust trust scoring for stored memories.
• neural_handover
  Transfer contextual state between agents with continuity controls.
• slo_report
  Return uptime and SLO metrics for the MCP service.

Repository · Website · JSON · Text for agents · Registry updated 2026-09-16