recall
Recall Memory
Retrieve relevant persisted memory using semantic, temporal, priority, or hybrid routing. Governance: requires reason (10–200 chars). Rate limit: 20/min.
modelimitquery必填scopereason必填subjectagent_id
io.github.SynapseLayer由 GitHub 账号 SynapseLayer 发布v2.4.6更新于 Oct 24, 2026
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
远程 MCP 记忆服务,让助手跨会话、跨代理保存、搜索并召回持久化的加密记忆。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.SynapseLayer%2Fsynapse-layer/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"synapse-layer-trust-infrastructure-for-a": {
"type": "http",
"url": "https://forge.synapselayer.org/api/mcp"
}
}
}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]
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
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.
Your AI agents forget everything between sessions. Synapse Layer fixes that — in one line.
Get your token at forge.synapselayer.org → Dashboard → Connect
Synapse Layer currently exposes 13 MCP tools for persistent memory workflows:
recallsave_to_synapseprocess_textsearchhealth_checkinitialize_contextsave_memorystore_memoryrecall_memorylist_memoriesmemory_feedbackneural_handoverslo_reportThese tools cover memory capture, semantic recall, structured storage, feedback loops, agent handoff, and operational observability.
Use the SDK when you want direct Python access to Forge memory from your application.
Best for:
Use Forge when you need persistent, cross-session, and cross-agent memory with managed access tokens.
Best for:
The URL is a positional argument — claude mcp add --transport http <name> <url> — there is no --url flag.
Add to claude_desktop_config.json:
Add to .cursor/mcp.json in your project root (same JSON block as above).
Any host that runs npx can use the mcp-remote block above unchanged — it bridges local stdio to the remote endpoint.
Config file locations:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.jsonSee SECURITY.md for vulnerability reporting.
Apache-2.0 © Synapse Layer
来源:README.md,提交 96d0706
Recall Memory
Retrieve relevant persisted memory using semantic, temporal, priority, or hybrid routing. Governance: requires reason (10–200 chars). Rate limit: 20/min.
modelimitquery必填scopereason必填subjectagent_idSave to Synapse
Persist memory with encryption at rest, sanitization, and deduplication controls.
tagstypecontent必填projectsubjectagent_idimportanceforce_intentintent_reasonProcess Text
Extract candidate memories from free-form text with governance filters and sanitization.
text必填sourceprojectagent_idSearch Memory
Search persisted memory across agent scopes using full-text matching. Governance: requires reason (10–200 chars) because results contain plaintext content.
limitquery必填scopereason必填subjectagent_idHealth Check
Check service availability, engine version, and storage health. Public method.
无需输入参数。
Initialize Context
Initialize a persistent memory context for a conversation or agent session. Returns REDACTED metadata by default (detail="summary"). Use detail="full" with a reason (10–200 chars) to retrieve plaintext content under MEMORY_EXPORT_GOVERNANCE_V1.
detailreasonSave Memory
Save a memory entry to the persistent store. Alias of save_to_synapse.
tagscontent必填subjectagent_idforce_intentintent_reasonStore Memory
Store structured memory with metadata and trust scoring.
tagscontent必填subjectagent_idforce_intentintent_reasonRecall Memory
Recall persisted memory by query. Alias of recall.
modelimitquery必填scopereason必填subjectagent_idList Memories
List memory metadata with pagination and governance limits.
limitscopesubjectagent_idMemory Feedback
Submit feedback to adjust trust scoring for stored memories.
signal必填memoryIdmemory_idsessionIdsession_idNeural Handover
Transfer contextual state between agents with continuity controls.
token必填reason必填consuming_agentSLO Report
Return uptime and SLO metrics for the MCP service.
admin_token必填window_hours已满足适用检查项的 100%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
curl -fsSL https://forge.synapselayer.org/install/smithery | bashfrom synapse_layer import Synapse
s = Synapse(token="sk_connect_YOUR_TOKEN")
s.store("user likes coffee")print(s.recall("what does user like?"))pip install synapse-layerfrom synapse_layer import Synapse
client = Synapse(token="sk_connect_YOUR_TOKEN")
# Storeclient.store("User prefers dark mode and concise answers")
# Recallresults = client.recall("user preferences")for r in results: print(r["content"], r["trust_quotient"])from synapse_layer import Synapse
with Synapse(token="sk_connect_YOUR_TOKEN") as client: client.store("User prefers dark mode and concise answers") results = client.recall("user preferences") for r in results: print(r["content"])claude mcp add --transport http synapse-layer \ https://forge.synapselayer.org/api/mcp \ --header "x-connect-token: sk_connect_YOUR_TOKEN"{ "mcpServers": { "synapse-layer": { "command": "npx", "args": [ "mcp-remote", "https://forge.synapselayer.org/api/mcp", "--header", "x-connect-token: sk_connect_YOUR_TOKEN" ] } }}# Health checkcurl -H "x-connect-token: sk_connect_YOUR_TOKEN" \ https://forge.synapselayer.org/api/connect/health
# Save memorycurl -X POST \ -H "x-connect-token: sk_connect_YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"content": "User is a Python developer"}' \ https://forge.synapselayer.org/api/v1/capture