MCP-Native Trust Infrastructure for AI Agents
Context is the new code.
Trust is the new infrastructure.
Synapse Layer gives your AI agents persistent, encrypted memory with built-in governance. Store, recall, and hand over context — across sessions, models, and tools.
Save 30–70% on repeated context costs.
pip install synapse-layerThe Trust Layer for the Agentic Internet.
Why We Exist
AI agents are powerful. But they forget everything.
Every session starts from zero. Preferences, decisions, constraints — all gone.
Teams re-inject the same context thousands of times. That's wasted tokens and wasted money.
When Agent A hands off to Agent B, trust disappears. There's no audit trail, no governance.
We built Synapse Layer to fix this. Not a database. Not a RAG pipeline. A trust infrastructure layer — encrypted, auditable, and designed for agents that work together.
How It Works
Three primitives. Infinite continuity.
Persist with encryption
client.store( content="User prefers dark mode", agent="onboarding-v2", memory_type="preference" )
Every memory is AES-256-GCM encrypted at rest. Tagged by agent, type, and tenant for governance.
Trust & lifecycle
# Trust Quotient auto-scored # Lifecycle: CREATED → ACTIVE → DELETED # Tombstone preserves audit trail # Zero PII in tombstone records
Trust Quotient scores reliability. Three-layer lifecycle separates live data, audit metadata, and analytics.
Semantic retrieval
memories = client.recall( query="user theme preference", min_tq=0.7, limit=5 )
pgvector-powered semantic search. Filter by Trust Quotient, agent, type, or time range. Sub-50ms P95.
Capabilities
Built for production. Designed for trust.
Encrypted Memory at Rest
Every memory is AES-256-GCM encrypted with per-operation random IV and 128-bit authentication tag.
Secure Agent Handover V2
One agent stores, another recalls. Memory survives across sessions, models, and tools with full audit trail.
Trust Quotient Scoring
Per-memory confidence score (0–1.0) based on content density, semantic alignment, and noise level.
Immutable Audit Trail
Three-layer lifecycle: live data, tombstone metadata, admin analytics. LGPD Art.18 compliant.
Semantic Vector Recall · pgvector HNSW
pgvector HNSW-powered similarity search. Recall memories by meaning, not just keywords.
Human Approval Layer
Critical memory operations require explicit human confirmation before execution.
Intent Ledger
Cryptographic proof of every agent action — who did what, when, and why.
Guardian Runtime
Autonomous policy enforcement engine that monitors and gates agent memory operations in real-time.
Integrations
Works where your agents live
Claude
Desktop + API
Cursor
IDE Integration
LangChain
Python SDK
Claude Desktop
MCP Native
ChatGPT
Via Proxy
COMING SOONCrewAI
SDK Adapter
COMING SOONAutoGen
SDK Adapter
COMING SOONLangGraph
Orchestration
COMING SOONn8n
Workflow
COMING SOONZapier
Automation
COMING SOONAgentic Infrastructure
Built for the Agentic Internet.
Every primitive Synapse Layer provides was designed for agents that act, decide, and hand off — not for humans clicking buttons.
AI Agents
Single-agent memory with full lifecycle governance.
Multi-Agent Systems
Shared context across agents with audit trail.
Autonomous Workflows
Memory that persists across sessions, models, and tools.
Agent Handover
Secure context transfer between agents via Handover V2.
Agent Governance
Trust Quotient scoring and immutable audit trail.
Agent Commerce
Infrastructure ready for pay-per-call and agentic billing.
ROI Calculator
How much can you save with Synapse Layer?
90% of AI teams prototype. Only 23% reach production. The gap is not intelligence — it is memory, governance, and trust. Synapse Layer closes that gap.
📊 Your data
Active assumption
💰 Your savings
Current cost/month
$540
without Synapse
Monthly savings
$270
with Synapse
Annual savings
$3k
projected
Payback
1 month
Pro plan
Total Annual ROI
$3k
medium scenario (50%)
Security & Governance
Security isn't a feature. It's the architecture.
Every layer of Synapse is built with fail-closed security. Auth failure returns 401, never 200 with empty data.
AES-256-GCM Encryption
Server-side encryption at rest. Per-operation random IV with 128-bit GCM authentication tag validated on every read.
OAuth 2.0 + PKCE S256
Industry-standard authorization with Proof Key for Code Exchange. Dual-mode: session (web) or bearer token (MCP/SDK).
SHA-256 Token Hashing
API keys and connect tokens are SHA-256 hashed before storage. Raw tokens are never persisted in the database.
Tenant Isolation
1 user = 1 tenant = 1 private mind. Zero cross-user memory access. userId always from auth context, never from request body.
Auto-Redaction Logging
11 regex patterns auto-redact PII from all logs. userId/tenantId hashed via FNV-1a before any log output.
LGPD / GDPR Designed
Hard-delete on user request, 30-day retention on account deletion. Tombstones contain zero PII. Consent-gated storage.
Comparison
How we compare
| Feature | Synapse Layer | Mem0 | Zep | pgvector |
|---|---|---|---|---|
| AES-256-GCM Encryption | ✔ | ✖ | ✖ | ✖ |
| Secure Agent Handover (V2) | ✔ | ✖ | ✖ | ✖ |
| Conflict Resolution (TQ) | ✔ | ✖ | ✖ | ✖ |
| Four-Layer Security Pipeline | ✔ | ✖ | ✖ | ✖ |
| Immutable Audit Trail | ✔ | ✖ | ✖ | ✖ |
| GDPR / LGPD Aware | ✔ | Partial | Partial | ✖ |
| MCP Native | ✔ | ✖ | ✖ | ✖ |
| Open Source | ✔ | ✔ | ✔ | ✔ |
Pricing
Start free. Scale when you grow.
Free
Start building with AI memory infrastructure — no credit card required.
- For personal projects and prototyping
- AES-256-GCM encryption
- REST API + MCP protocol
- Community support
Pro
For devs and teams shipping AI agents to production with persistent memory.
- Expanded usage limits
- Everything in Free
- ✅ Secure Agent Handover (V2)
- REST API + MCP + SDK
- OAuth 2.0 + PKCE (Synapse Connect™)
- Framework agnostic (Claude, Cursor, LangChain)
- Email support
Enterprise
For teams that need memory infrastructure at scale with custom deployment.
- Everything in Pro
- ✅ Secure Agent Handover (V2)
- Custom deployment
- Volume-based pricing
- SLA — upon request
- LGPD compliance support — upon request
- Dedicated support — upon request
Prices in USD (global reference).
Give your agents memory they can trust.
Join developers building the next generation of stateful, trustworthy AI agents.
pip install synapse-layerFree plan available — no credit card required.