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C5.1: Public Surface Governance & Claims Alignment v2.3.7 (#12)
- PUBLIC_CLAIMS_MATRIX.md v1.0 governance foundation - Removed all FORBIDDEN claims (Zero-Knowledge, Continuous Consciousness, Giving Models a Soul) - Version sync: server.json + smithery.yaml → 2.3.7 - CHANGELOG entry added - 20 files updated (copy/metadata only, zero logic changes)
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CHANGELOG.md

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# Changelog
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## [2.3.7] - 2026-05-04
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### Changed
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- Public surface governance: claims matrix v1.0 applied
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- Removed deprecated claims from all public surfaces
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- Aligned descriptions, topics and metadata across all public repos
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- Version synchronized across all distribution channels
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## [1.2.0] — 2026-04-21
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### Added

docs/PUBLIC_CLAIMS_MATRIX.md

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# PUBLIC_CLAIMS_MATRIX.md
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**Synapse Layer — Matriz de Claims Públicos v1.0**
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Última atualização: 04 de Maio de 2026
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Proprietário: Ismael Marchi
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Status: APPROVED
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## Regra de Ouro
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> Público explica o benefício. Privado preserva o moat.
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## ALLOWED — Claims Aprovados
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### Hero / One-liner
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- "RAG retrieves. Synapse remembers."
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- "Persistent, encrypted memory infrastructure for AI agents."
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### Descrição Principal
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- Persistent memory infrastructure for AI agents — encrypted, governed, and cross-agent.
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- Memory that survives across sessions, models, and tools.
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- State Continuity Layer for autonomous AI systems.
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### Benefícios (comprováveis)
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- Cross-model handover seguro
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- Privacy-first: PII redaction + AES-256
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- Deterministic recall com Trust Quotient (TQ)
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- Works in 30 seconds
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- Server never sees plaintext
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### Categorias Oficiais
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- Memory Infrastructure Layer (principal)
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- State Continuity Layer (secundária)
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- OAuth for AI Memory (terciária)
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## HOLD — Só usar com evidência verificável
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- "70% token reduction" → só com dados públicos reais
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- "Zero context loss across 10K+ sessions" → só após validação
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- "Enterprise-ready" → só após casos reais
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- "Self-healing memory" → em desenvolvimento
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## FORBIDDEN — Nunca usar publicamente
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- Zero-Knowledge
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- Continuous Consciousness / Consciência Sintética
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- Giving Models a Soul
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- Imortalidade Cognitiva
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- GDPR/LGPD compliant (usar: "designed for LGPD/GDPR alignment")
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- Detalhes de arquitetura interna (TQ weights, scoring, heuristics, pipeline)
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- Métricas sem dados verificáveis
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## Copy Aprovada por Canal
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| Canal | Copy Aprovada |
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|---|---|
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| GitHub Org Bio | Persistent, encrypted memory infrastructure for AI agents. Server never sees plaintext. MCP-native. Built in Brazil. |
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| synapse-layer description | Persistent memory infrastructure for AI agents — encrypted, governed, and cross-agent. |
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| synapse-sdk-python description | Python SDK for Synapse Layer — persistent, encrypted, cross-agent memory for AI agents. |
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| synapse-layer-skill description | Persistent memory skill for AI agents. Remembers preferences, brand voice and decisions with Trust Quotient scoring. |
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| PyPI / npm | Synapse Layer SDK — persistent, encrypted, cross-agent memory for AI agents. |
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| MCP / Smithery | Persistent memory infrastructure for AI agents. Server never sees plaintext. Works in 30 seconds. |
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## Regras de Governança
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1. Toda superfície pública respeita esta matriz.
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2. Novo claim → aprovação antes de publicar.
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3. Se não está em ALLOWED → é HOLD ou FORBIDDEN.
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4. Prioridade: Benefício > Funcionalidade > Como funciona.
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5. Forge herda narrativa do domínio principal. Nunca cria claims paralelas.
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Aprovado por: Ismael Marchi
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Próxima revisão: 18 de Maio de 2026

docs/distribution/SMITHERY_SUBMISSION.md

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`@synapselayer/synapse-protocol`
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### Display Name
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Synapse Layer — Continuous Consciousness for AI
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Synapse Layer — Persistent Memory for AI Agents
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### One-Liner
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Persistent encrypted memory infrastructure for AI agents. Store, recall, and transfer AES-256-GCM encrypted context across models.

docs/registry/MCP_REGISTRY_SUBMISSION.md

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| Field | Value |
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|---|---|
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| **Name** | `io.github.SynapseLayer/synapse-layer` |
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| **Title** | Synapse Layer — Continuous Consciousness Infrastructure |
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| **Title** | Synapse Layer — Persistent Memory Infrastructure |
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| **Version** | `1.1.5` |
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| **License** | Apache-2.0 |
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| **Schema** | `2025-12-11` |
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{
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"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
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"name": "io.github.SynapseLayer/synapse-layer",
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"title": "Synapse Layer — Continuous Consciousness Infrastructure",
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"title": "Synapse Layer — Persistent Memory Infrastructure",
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"description": "Persistent encrypted memory for AI agents. AES-256-GCM at rest, PII redaction, HMAC-SHA-256 integrity.",
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"version": "1.1.1",
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"websiteUrl": "https://synapselayer.org",

docs/releases/RELEASE_NOTES_v1.0.6.md

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*Semantic Privacy Guard™ is now mandatory. Content is AES-256-GCM encrypted at rest.*
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**Giving Agents a Past. Giving Models a Soul. ⚗️**
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<!-- Tagline updated: see PUBLIC_CLAIMS_MATRIX.md -->
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```
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---

examples/crewai_agent.py

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print(f" Categories: {info.categories}")
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print()
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print("Done. Memory persists across sessions with zero-knowledge security.")
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print("Done. Memory persists across sessions with encrypted persistent memory.")
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if __name__ == "__main__":

examples/langchain_agent.py

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# config={"configurable": {"session_id": "user-123"}},
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# )
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print("Done. Memory persists across sessions with zero-knowledge security.")
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print("Done. Memory persists across sessions with encrypted persistent memory.")
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if __name__ == "__main__":

examples/mcp-secure-memory/README.md

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# Reference Implementation: Zero-Knowledge Secure Memory for MCP
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# Reference Implementation: Encrypted Persistent Memory for MCP
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> **Give any MCP-compatible agent a privacy-first, audit-ready memory layer in under 5 minutes.**
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| **Intent Validation** | Every memory is classified by intent category with confidence scoring |
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| **Self-Healing** | Conflicting memories with overlapping semantics are automatically reclassified via keyword consensus |
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| **Audit Trail** | Every `store` returns: `memory_id`, `content_hash` (SHA-256), `trust_quotient`, and full sanitization/privacy details |
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| **Zero-Knowledge** | The SDK processes all data locally — no external API calls, no telemetry, no data leaves your environment |
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| **Privacy-First** | The SDK processes all data locally — no external API calls, no telemetry, no data leaves your environment |
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examples/mcp-secure-memory/server.py

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"""
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Reference Implementation: Zero-Knowledge Secure Memory for MCP (Synapse Layer)
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Reference Implementation: Encrypted Persistent Memory for MCP (Synapse Layer)
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A minimal MCP server that exposes two tools — store_memory and recall_memory —
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backed by Synapse Layer's privacy-first memory SDK. Every memory goes through

pyproject.toml

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[project]
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name = "synapse-layer"
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version = "1.2.0"
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description = "Zero-Knowledge Memory Layer for AI AgentsCognitive Security Protocol with 4 proprietary seals. Giving Agents a Past. Giving Models a Soul."
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description = "Persistent memory infrastructure for AI agentsencrypted, governed, and cross-agent. Server never sees plaintext."
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readme = "README.md"
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license = {text = "Apache 2.0"}
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authors = [{name = "Ismael Marchi", email = "founder.synapselayer@proton.me"}]
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keywords = [
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"ai-agents",
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"memory",
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"zero-knowledge",
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"persistent-memory",
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"encryption",
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"mcp",
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"agentic-ai",

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