SynapseOrch
What it does
Build and run AI agent workflows: start runs, answer what they ask, search knowledge, edit agents.
- Connects 在云端运行
- Account or key Sign in to the service when you connect (OAuth)
- Category 搜索与 AI 记忆
安装
选择你使用的 AI 应用,然后复制设置。
通过 4/4 项检查 · 你的提问会经过开发者的服务器(api.synapseorch.com) · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
打开 Claude 的 Connectors 页面
CustomizeConnectors
点击“Add” → “Custom” → “Web”,填写这 2 项
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
Name · 名称SynapseOrchRemote MCP server URL · 地址https://api.synapseorch.com/api/v1/mcp在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add
在聊天中开启
+ConnectorsSynapseOrch
试一试
用 SynapseOrch 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 SynapseOrch,或回答中出现 SynapseOrch 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
能否连接 ChatGPT 取决于方案
完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页
在网页版 ChatGPT 打开添加 MCP 的页面
Plugins+Add custom MCP server
填写名称和地址
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
Name · 名称SynapseOrchConnection · 地址https://api.synapseorch.com/api/v1/mcp在聊天中选择 SynapseOrch
开启新聊天,输入前先从插件列表中选择 SynapseOrch
试一试
用 SynapseOrch 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 SynapseOrch,或回答中出现 SynapseOrch 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
打开终端
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
粘贴这条命令并按 Enter
claude mcp add --transport http --scope user synapseorch https://api.synapseorch.com/api/v1/mcp在 Claude Code 中输入 /mcp
应能看到 SynapseOrch 在列表中并显示已连接
试一试
用 SynapseOrch 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 SynapseOrch,或回答中出现 SynapseOrch 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
在 Cursor 中以 Agent 模式打开 AI 聊天
试一试
用 SynapseOrch 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 SynapseOrch,或回答中出现 SynapseOrch 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
在 VS Code 中以 Agent 模式打开 AI 聊天
试一试
用 SynapseOrch 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 SynapseOrch,或回答中出现 SynapseOrch 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://api.synapseorch.com/api/v1/mcpJSON 设置在下方“开发者专用”中
开发者专用:终端命令和 JSON 设置
通过网页连接
Claude Code
claude mcp add --transport http --scope user synapseorch https://api.synapseorch.com/api/v1/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"synapseorch": {
"url": "https://api.synapseorch.com/api/v1/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"synapseorch": {
"type": "http",
"url": "https://api.synapseorch.com/api/v1/mcp"
}
}
}这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
一览
哪些应用可以使用它
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
它能做什么
服务器要求先登录,才会列出它的工具。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月13日
- ✓ 通过
作者与仓库一致
注册名称已通过域名 synapseorch.com 验证(注册中心会核实域名所有权)
- ✓ 通过
仍在维护
代码最后更新于前天
- – 不适用
有许可证
不适用:由 synapseorch.com 的所有者自己运行的云端服务器,你不会运行仓库里的代码
- ✓ 通过
端点有响应
在 134 毫秒内响应(HTTP 401)
- ✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
讨论
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
用户评价
还没有评价
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 6040 个服务器的 99%
- 发布到注册中心的时间比此分类中其他 6040 个服务器的 97% 更新
- 基础检查结果等于或优于此分类中其他 6040 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
SynapseOrch 安全吗?
它在 4 项适用的基础检查中通过了 4 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
它还在维护吗?
GitHub 仓库最后更新于前天,最新版本(2.0.6)于昨天进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
有什么可以替代它?
同一分类中有:Context7, Codebase Memory, Ruflo
同类别的其他选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Hand AI the work your team repeats. Approve what goes out.
Describe a job in plain words. SynapseOrch turns it into steps you can read, runs them exactly as you approved, every time, and asks before anything goes out. Any model, your own tools and documents, on your laptop or your servers. Free and open source under AGPL-3.0, with no account and no licence check.
Install · Documentation · Discord · SynapseOrch Cloud
Describe it. Approve it. Rely on it.
- Describe it. Tell Synapse AI the job. It writes the steps, picks a model for each and marks where you sign off, then shows you the plan before anything is built.
- Approve it. Read every step. When a run reaches yours, it waits for your yes — in the app, or in Slack, Telegram or another chat channel.
- Rely on it. It runs on schedule exactly as you approved, and shows what each step did and what it cost. A run never passes the spending limit you set.
Describe it. Synapse AI shows the plan, what a run costs and what it will ask you — before it builds anything.
Approve it. When a run reaches your step, it waits on Home for your yes.
Rely on it. Every run shows the path it took, how long it waited on you, and what each step cost.
What's inside
| Synapse AI | An assistant that builds and changes agents and workflows from a sentence, and answers questions about your workspace. |
| Workflows | Steps you can read on a canvas: agents, models, tools, code, branches, loops, parallel paths, sign-offs and other workflows. Runs follow the path you drew. |
| Agents and teams | Agents with their own model, tools, skills and memory. A team agent splits work among its members; any agent can start short-lived helpers. |
| Sign-offs | A step that waits for a person — answered in the app or in a chat channel. Approvals for risky tool calls, too. |
| Knowledge | Your files and web pages, indexed; answers cite the passage they used. *(Optional part — see below.)* |
| Boards | A shared to-do board for people and agents, with each card's history. *(Off until you turn it on in Settings.)* |
| Apps and tools | MCP servers (local or remote, OAuth included), REST and OpenAPI, Python functions, SQL databases, web fetch and scraping. |
| Channels | Your agents on Slack, Discord, Telegram, Microsoft Teams, WhatsApp, a website chat widget, or a phone number (Twilio). |
| Any model | Your own keys for 23+ providers, any OpenAI-compatible endpoint, local models through Ollama, or the Claude Code, Codex, Gemini and Copilot CLIs you already use. A different model at every step. |
| Costs you can read | An estimate before a run, what each step cost after it, and a hard limit per run. |
| Use it from anywhere | A command line, a versioned REST API, an MCP server for Claude, ChatGPT and Cursor, and an OpenAI-compatible endpoint where every agent answers as a model. |
| Scale mode | Redis queue, a worker fleet, Postgres checkpoints and S3 storage, for when one process is not enough. |
Install
macOS / Linux
curl -LsSf https://synapseorch.com/install.sh | bash
Windows (PowerShell)
irm https://synapseorch.com/install.ps1 | iex
Nothing needs to be installed first: the installer brings its own Python and, if yours is missing or too old, Node.js — no sudo. It asks which AI to use (and whether to start on login) while it installs, and ends with the link. Your data and settings live in ~/.synapse. Add --yes (curl … | bash -s -- --yes) to take every default. The short addresses redirect to the scripts on the latest GitHub release: setup.sh and setup.ps1.
npm, pip or Docker
npm install -g synapse-orch-ai && synapse # the first run uses the same installer
pip install synapse-orch-ai && synapse # Python 3.11–3.14 and Node.js 20.9+
docker run -d --name synapse -p 3000:3000 -p 127.0.0.1:8765:8765 \
-v synapse-data:/data \ -v /var/run/docker.sock:/var/run/docker.sock \ synapseorchai/synapse-ai:latest
Then open http://localhost:3000. The backend's port (8765) is published on this machine only: it serves an internal API, so never publish it on 0.0.0.0.
Optional parts. Knowledge brings Docling and a CPU build of PyTorch, so it is added only when you ask:
synapse upgrade --with knowledge # an existing install
curl -LsSf …/setup.sh | bash -s -- --with knowledge # a new one
Then turn it on in Settings → General. Every later upgrade keeps it.
Upgrading
synapse upgrade
It backs up the database, installs the newest version, updates the database and starts Synapse again if it was running. An npm install is upgraded with npm install -g synapse-orch-ai@latest; Docker by pulling the new image and running the same command.
Coming from 1.x? Run the install command above, or synapse upgrade. Your agents, workflows, chats, schedules, settings, API keys and vault files move into 2.0's store. Before anything changes, the upgrade backs up your 1.x data folder, logs and .env to ~/.synapse/backups/synapse-1.x- .tar.gz, with a manifest.json that lists where each part came from; the old install's folder is removed once 2.0 is running. To go back, reinstall 1.9.3 and put each part of the backup back where manifest.json says. Don't run 2.0's synapse uninstall first: it removes ~/.synapse, backups included, unless you add --keep-data. Docker imports a 1.x /data volume on its first start. See Upgrading to 2.0.
The command line
One synapse command runs SynapseOrch on this machine, and drives any SynapseOrch — this one, one on your servers, or Cloud — with an API key. Everything you can do in the app, you can do from a terminal or a script.
This machine
synapse start # open it (-d: in the background)
synapse status # is it running? (--json for scripts) synapse logs -f # follow the backend's log (frontend, install) synapse upgrade # the newest version; data and settings stay synapse autostart on # start when you log in
Build, run and answer
synapse agents list # list, show, create, update, delete
synapse workflows list # list, show, export, create, validate, deploy, delete synapse run NAME -m "…" # run a workflow and follow it to its answer synapse runs waiting # what waits on you: questions and held tool calls synapse runs answer RUN_ID --approve # answer a sign-off (or --reject, or reply with text) synapse chat --agent NAME -m "…" # one message to an agent (bare synapse chat to talk) synapse schedules create --workflow NAME --cron "0 9 * * MON"
Knowledge, Boards and the workspace
synapse knowledge upload --base Handbook ./policies/*.pdf --wait
synapse knowledge search "refund window" --base Handbook synapse boards show BOARD # a board's open cards; boards card adds and comments synapse activity --days 7 # what ran, what failed, what waits synapse usage --by model # what the workspace spent, by day, agent or model
Every door a key has
synapse tools list # every product tool this key may call; `tools call NAME`
synapse api GET /agents # call any route a key reaches, as gh api does synapse mcp # serve SynapseOrch to Claude, Cursor… over stdio synapse login --url https://api.synapseorch.com --api-key-stdin # drive another SynapseOrch
For scripts, --json prints JSON (one event a line for a run) and -q lists ids only. Exit codes say what happened: 0 done · 3 waiting on a person · 4 run failed · 5 not found · 6 key refused · 7 busy or unreachable. synapse --help lists every command. CLI reference →
Use it from your own code and tools
- REST API — start runs, stream their events, answer sign-offs, with an API key. [API →](https://docs.synapseorch.