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SynapseLayer/synapse-layer

SynapseLayer/synapse-layer

Persistent encrypte
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add synapse-layer -- npx -y synapse-layer
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
13 ★ · SynapseLayer/synapse-layer · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 13 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 SynapseLayer/synapse-layer;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

🧠 Synapse Layer

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

RAG retrieves. Synapse remembers.
**Persistent memory infrastructure for AI agents — AES-256-GCM encrypted at rest, semantic search, MCP-native.**
Synapse Layer is open-source persistent memory infrastructure for AI agents and assistants. Memories are encrypted at rest with AES-256-GCM, indexed via pgvector HNSW for semantic recall, and exposed through MCP JSON-RPC for native integration with Claude, GPT, Gemini, and any MCP-compatible client. Apache 2.0 licensed.
Website · Docs · PyPI · Forge
---
⚡ 30-Second Quickstart
Get your Connect Token at forge.synapselayer.org → Connect, then install into any MCP client:
On the Forge dashboard the **Smithery** card already copies the command with your token embedded (… | bash -s -- sk_connect_…) — a single paste in your terminal is enough.
Or use the Python SDK:
Get your token at forge.synapselayer.org → Dashboard → Connect
---
What is Synapse Layer?
The **persistent memory layer for AI agents** — the missing piece between stateless LLMs and real continuity of context.
Your AI agents forget everything between sessions. Synapse Layer fixes that.
| Feature | Description |
|---------|-------------|
| 🔐 **Encrypted at rest** | AES-256-GCM with per-operation random IV and HMAC-SHA-256 integrity |
| 🧩 **One-click connect** | Claude Desktop, Cursor, LangChain, CrewAI, n8n |
| 🌐 **Cross-agent memory** | Save in ChatGPT, recall in Claude |
| ⚡ **MCP-native** | Any MCP-compatible agent |
| 🔒 **Header-first auth** | Tokens never in URLs or logs |
| 🎯 **Trust Quotient** | Deterministic recall — memories ranked by confidence, not recency alone |
---
Why Synapse Layer?
> Your AI agents forget everything between sessions. Synapse Layer fixes that — in one line.
| Without Synapse Layer | With Synapse Layer |
|---|---|
| Agent forgets context every session | Persistent memory across all sessions |
| Memory locked to one model | Cross-agent: save in ChatGPT, recall in Claude |
| No audit trail | Trust Quotient scoring on every memory |
| Complex integration | pip install synapse-layer + 3 lines of code |
| Plaintext stored on servers | AES-256-GCM encrypted at rest |
---
Use Cases
- **Long-term assistant memory** — persist user preferences, facts, and prior decisions across sessions.
- **Cross-agent continuity** — save context in one agent and recall it in another.
- **Secure memory for MCP clients** — connect Claude Desktop, Cursor, and other MCP-compatible tools to a governed memory layer.
- **Operational memory for teams** — maintain structured context, trust scoring, and searchable recall for production agents.
---
Install
Quick Start
Python Script
With Context Manager
Get your token at forge.synapselayer.org → Dashboard → Connect
---
13 MCP Tools at a Glance
Synapse Layer currently exposes 13 MCP tools for persistent memory workflows:
- recall
- save_to_synapse
- process_text
- search
- health_check
- initialize_context
- save_memory
- store_memory
- recall_memory
- list_memories
- memory_feedback
- neural_handover
- slo_report
These tools cover memory capture, semantic recall, structured storage, feedback loops, agent handoff, and operational observability.
来源
awesome · https://github.com/SynapseLayer/synapse-layer
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