io.github.SynapseLayer/synapse-layer

pkg:pypi:synapse-layer

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

transport:: remote + stdio
credential class:: self-provisionable
repo:: https://github.com/SynapseLayer/synapse-layer

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Tools

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

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