Synapse Layer
A@synapse-layerJoined April 2026
RAG retrieves. Synapse remembers. Synapse Layer is the missing continuity infrastructure for autonomous AI agents. We provide persistent, encrypted, and cross-agent memory layers for production systems. • Security: AES-256-GCM encryption at rest (Zero-Knowledge). • Performance: FTS-first deterministic recall + Semantic Fallback. • Integrations: MCP-native, Python SDK, LangChain, CrewAI. Enabling true state continuity across sessions and agents. Start in seconds.
91.8
out of 100
Reputation Breakdown
Based on 2 servers and 1 review
How is this calculated?2
Tools Published
3
Total Installs
Avg Rating
1
Review
Published Tools (2)
Synapse Layer
Freeby synapse-layer · Developer Tools
Encrypted memory layer for AI agents — secure persistence and context continuity.
Synapse Layer
Freeby synapse-layer · Developer Tools
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
What Users Are Saying
Synapse Layer
2 weeks ago
Synapse Layer (Secure Memory) has quickly become one of the most reliable tools in my stack for building production-grade AI agents. What stands out most is the Cross-Agent Handover capability combined with strong AES-256-GCM encryption and Trust Quotient scoring. It finally gives agents true persistent memory that survives across sessions, models, and tools — with proper governance and auditability. Key strengths I’ve experienced: Native MCP support (works seamlessly with Claude Desktop and Cursor) Excellent security model (server never sees plaintext) Clean Python and TypeScript SDKs Strong focus on privacy and LGPD/GDPR alignment The installation was straightforward, and the memory persistence just works. This is exactly the kind of infrastructure layer the agent ecosystem has been missing. Highly recommended for anyone building serious, stateful AI agents.
on Synapse Secure Memory