SL

Synapse Layer — Trust Infrastructure for AI Agents

io.github.SynapseLayer/synapse-layer

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

Yes, your AI can use this right now.Answered a live MCP handshake in 173 ms with no sign-in needed and exposes 13 tools.

Connect it

Settings → Connectors → Add custom connector
URL: https://forge.synapselayer.org/api/mcp

13 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
recallread-only

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.

searchread-only

Search persisted memory across agent scopes using full-text matching. Governance: requires reason (10–200 chars) because results contain plaintext content.

health_checkread-only

Check service availability, engine version, and storage health. Public method.

initialize_contextread-only

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_memoryread-only

Recall persisted memory by query. Alias of recall.

list_memoriesread-only

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_reportread-only

Return uptime and SLO metrics for the MCP service.

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