io.github.SynapseLayer/synapse-layer

Synapse Layer — Trust Infrastructure for AI Agents

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

2.4.6
Version
remote
Transport
13
Tools

Security review

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Reviewed Jan 1, 2000.

  • tools: 13 tools scanned
  • metadata: scanned

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Tools (13)

  • 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.