Encrypted memory layer for AI agents — secure persistence and context continuity.
About
⚠️ DEPRECATED — Use "Synapse Layer" instead: https://forge.synapselayer.org/api/mcp Synapse Secure Memory fornece persistência de memória criptografada para agentes de IA.
Garante que dados sensíveis sejam armazenados com segurança enquanto habilita continuidade de contexto a longo prazo entre sessões.
Capacidades principais: • Criptografia AES-256-GCM para dados at‑rest • Persistência segura e indexação semântica • Recuperação com controle de acesso e sanitização • Transferência de contexto entre agentes (Neural Handover™) • Integração com Synapse Layer para continuidade de estado
Projetado para operar em ambientes regulados e aplicações de produção que exigem confiança, auditabilidade e governança na memória de agentes.
Security Report
Valid MCP server (2 strong, 4 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved).
7 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: SYNAPSE_AGENT_ID
Environment variable: SYNAPSE_PRIVACY_EPSILON
Environment variable: SYNAPSE_ENCRYPTION_KEY
Environment variable: LOG_LEVEL
Environment variable: X_CONNECT_TOKEN
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Getting Started
Once installed, try these example prompts and explore these capabilities:
- 1pip install synapse-layer
- 2Obter token: Forge → Dashboard → Connect (use header `x-connect-token: sk_connect_YOUR_TOKEN`)
- 3Curl health: curl -H "x-connect-token: sk_connect_YOUR_TOKEN" https://forge.synapselayer.org/api/health
- 4Python quickstart: from synapse_layer import SynapseA2AClient; async with SynapseA2AClient(api_key="sk_connect_YOUR_TOKEN") as c: await c.store_memory(user_id="agent-001", content="user likes coffee")
- 5Example: Persist user preferences and recall them in a later session.
Reviews
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.
Version History
v2.4.1-deprecated — August 2026 • This listing is deprecated. All users should migrate to the canonical "Synapse Layer" server (v2.4.6+). • The canonical server includes performance improvements and updated security. • Endpoint: https://forge.synapselayer.org/api/mcp
v2.4.1 — May 2026 • Rewrote listing copy to remove prohibited claims and align with compliance guidance. • Standardized setup instructions and tags. • Synchronized Remote MCP Endpoint with Forge (https://forge.synapselayer.org/api/mcp). • Improved guidance for required keys and simplified onboarding.
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