
Synapse Layer — Zero-Knowledge Memory
io.github.SynapseLayer由 GitHub 帳號 SynapseLayer 發布v1.0.7更新於 Oct 24, 2026
Zero-Knowledge Context™ & Neural Handover™ for AI Agents. The Trust Layer for AI Memory.
發布方自己的服務:Memory.fit
概覽
讓助理擁有持久、加密的長期記憶,支援語意檢索與跨代理上下文交接。
- 可以做什麼
- Synapse Layer 是針對 AI 代理的持久記憶層。它提供 13 個 MCP 工具,涵蓋記憶寫入、語意召回、結構化儲存、回饋評分、代理交接與運作觀測,包括 recall、save_memory、store_memory、list_memories、memory_feedback、neural_handover 與 slo_report。記憶以 AES-256-GCM 靜態加密並建立語意檢索索引,README 表示可在一個代理中儲存、在另一個代理中召回。
- 適用情境
- 當助理需要跨工作階段記住使用者偏好、事實與先前的決定,或多個代理需要共享上下文時適合使用。也適合想為正式環境代理提供可檢索、帶評分召回能力的團隊,而不必每次工作階段都從零開始。
- 執行需求
- 以本機 stdio 程序執行,從 PyPI 安裝 synapse-layer 並以 uvx 啟動。README 也展示透過 mcp-remote 存取遠端 Forge 端點並帶上 x-connect-token 標頭,以及使用連線權杖的 Python SDK。環境變數包括 SYNAPSE_AGENT_ID、LOG_LEVEL、SYNAPSE_PRIVACY_EPSILON,以及密鑰 SYNAPSE_ENCRYPTION_KEY(未提供時自動產生)。使用託管 Forge 服務需要網路連線。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Synapse Layer — Zero-Knowledge Memory,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
🧠 Synapse Layer
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.
[PyPI] [Python] [Downloads] [MCP Compatible] [Official MCP Registry] [CI] [License: Apache-2.0] [Smithery]
⚡ 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.
Why Synapse Layer?
Your AI agents forget everything between sessions. Synapse Layer fixes that — in one line.
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:
recallsave_to_synapseprocess_textsearchhealth_checkinitialize_contextsave_memorystore_memoryrecall_memorylist_memoriesmemory_feedbackneural_handoverslo_report
These tools cover memory capture, semantic recall, structured storage, feedback loops, agent handoff, and operational observability.
Deployment Modes
Python Script Mode
Use the SDK when you want direct Python access to Forge memory from your application.
Best for:
- prototypes and scripts
- Python-native workflows
- fast integration into existing apps
Cloud / Forge API
Use Forge when you need persistent, cross-session, and cross-agent memory with managed access tokens.
Best for:
- production assistants
- multi-agent systems
- MCP-based integrations
- shared memory across tools and sessions
MCP Integration (one tested path per client)
Claude Code (CLI)
The URL is a positional argument — claude mcp add --transport http <name> <url> — there is no --url flag.
Claude Desktop
Add to claude_desktop_config.json:
Cursor
Add to .cursor/mcp.json in your project root (same JSON block as above).
Any MCP client
Any host that runs npx can use the mcp-remote block above unchanged — it bridges local stdio to the remote endpoint.
Config file locations:
- Claude Desktop — macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Claude Desktop — Windows:
%APPDATA%\Claude\claude_desktop_config.json - Claude Desktop — Linux:
~/.config/Claude/claude_desktop_config.json
API — Header-First Auth
Security
See SECURITY.md for vulnerability reporting.
Related Projects
Governance
- All public claims follow the Public Claims Matrix.
- Architecture details that reveal benefits are public; mechanisms that enable them are private.
- Claim = Reality. If it's not implemented, it's not in the README.
License
Apache-2.0 © Synapse Layer
來源:README.md,提交 96d0706
工具
0版本歷史
1- v1.0.7最新Sep 16, 2026
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