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
Review passedReviewed Jan 1, 2000.
- tools: 13 tools scanned
- metadata: scanned
No findings.
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.