OpenOctopus
БесплатноНе проверенRun AI agents on one server. Execute tools across every machine you own.
Описание
Run AI agents on one server. Execute tools across every machine you own.
README
Run one AI agent server and let it work in Server Workspaces or on paired Linux, macOS, and Windows computers.

OpenOctopus is an alpha/demo release. Its Client can run commands and local MCP services with the permissions of your operating-system user. Read Security and current boundaries before exposing a Server or pairing a computer.
What it does
- Serves a browser UI and API from the same Docker image.
- Stores durable users, conversations, configuration, and MCP catalogs in PostgreSQL, with Server Workspace files in RustFS.
- Provides personal and equal-permission shared Workspaces, file management, browser attachments, and transfers between the Server and paired computers.
- Routes file tools and
web_fetchto the Server or a selected Client. - Runs pipe commands and line-oriented PTY/ConPTY sessions on paired Clients.
- Connects admin-managed Server MCP and per-device MCP over
stdio, Streamable HTTP, or SSE, including tools, resources, templates, and prompts. - Connects one Discord Bot and one DingTalk Bot per user to the same durable conversation and Agent loop as the browser.
- Uses an Anthropic-compatible Messages API as the LLM Provider.
New accounts receive editable SOUL.md and MEMORY.md files in their personal
Workspace. Administrators can configure the default SOUL, Provider, Workspace
quotas, Server Web Fetch policy, users, and shared Server MCP from the UI.
See it in action
Server Workspace
Browse the Server Workspace alongside paired Clients, then manage files and agent instructions in one place.

Paired Clients
Pair a computer once, see whether it is online, and route the Agent to its Workspace, commands, and MCP services.

External Channels
Connect a personal Discord or DingTalk Bot to the same durable conversation as the browser, with owner pairing and an explicit text-only allow list.

Architecture
Browser
| REST + best-effort NDJSON stream
v
OpenOctopus Server (one ASGI worker)
|-- PostgreSQL: users, conversations, configuration, MCP catalogs
|-- RustFS: Server Workspaces and uploaded attachments
|-- Anthropic-compatible LLM Provider
|-- Discord Gateway + REST adapter
|-- DingTalk Stream + OpenAPI adapter
|-- Server-owned MCP connections and stdio child processes
`-- Protocol v3 WebSocket
`-- OpenOctopus Client
|-- local file tools and transfers
|-- exec: pipes + POSIX PTY / Windows ConPTY
|-- Client web_fetch
`-- Device MCP runtimes
The Server does not run Client shell commands. Device MCP and Client tools run
on the paired computer. Server MCP is owned by the Server: stdio services run
as child processes with the Server OS user's permissions, while HTTP/SSE
services run at their configured remote endpoints.
Five-minute Docker quickstart
Requirements: Git, Docker, Docker Compose v2, and curl.
git clone https://github.com/Zpoteiti/OpenOctopus.git
cd OpenOctopus
cp .env.example .env
Edit .env and replace every replace-with-... value. In particular, use
independent long random values for the PostgreSQL password, RustFS secret,
JWT signing secret, and administrator registration token.
docker compose --env-file .env pull
docker compose --env-file .env up -d --wait
curl --fail http://127.0.0.1:8080/health
Compose starts PostgreSQL, RustFS, and OpenOctopus, creates the RustFS bucket,
bootstraps the database schema, and preserves both data stores in named volumes.
It listens on 127.0.0.1:8080 by default.
Open http://127.0.0.1:8080/register. Register the first administrator with
the value of OPENOCTOPUS_ADMIN_TOKEN from .env. The same token can create
additional administrators; omit it to create a regular member.
Configure the LLM Provider
Sign in as an administrator, open Admin settings, and configure:
- API base URL: the unversioned origin, such as
https://api.siliconflow.cn— do not append/v1; - API key;
- Model, such as
Qwen/Qwen3.5-4B; - the model context window and desired output/compaction limits.
Before saving, OpenOctopus calls GET {base_url}/v1/models and verifies that
the configured model exists. Chat then uses the Provider's
Anthropic-compatible /v1/messages endpoint. A Provider running on the Docker
host must be addressed by an address reachable from the Server container;
localhost inside the container refers to the container itself.
The administrator owns this shared Provider configuration and API key, and therefore bears Provider usage and cost for browser, channel, Cron, and Heartbeat turns from every account on the deployment.
Stop or remove the stack
Stop containers while preserving data:
docker compose --env-file .env down
Delete containers and all local PostgreSQL/RustFS data:
docker compose --env-file .env down --volumes
The second command is destructive.
To build the Server image from the current checkout instead of pulling it:
docker compose --env-file .env up -d --build --wait
Pair a Client
- In the browser, open Devices, create a device, and save the token shown once.
- Download the native one-folder bundle from GitHub Releases, or run the Client from source.
- Start it with the Server origin and device token.
Linux and macOS:
export OPENOCTOPUS_SERVER_URL='http://127.0.0.1:8080'
export OPENOCTOPUS_DEVICE_TOKEN='openoctopus_dev_...'
./openoctopus-client/openoctopus-client run
Windows PowerShell:
$env:OPENOCTOPUS_SERVER_URL = 'http://127.0.0.1:8080'
$env:OPENOCTOPUS_DEVICE_TOKEN = 'openoctopus_dev_...'
.\openoctopus-client\openoctopus-client.exe run
OPENOCTOPUS_SERVER_URL must be an HTTP(S) origin without a path, query, or
fragment. Use HTTPS/WSS for a remote Server. See client/README.md
for artifact names, source installation, lifecycle, and Client policy details.
Connect Discord or DingTalk
Open Channels in the browser and configure the Bot credential for Discord
or the Client ID and Client Secret for DingTalk. Secrets are write-only. The
DingTalk Client ID is also its robotCode; the current API verifies that
identity but does not expose a platform Bot name or avatar, so OpenOctopus
leaves those profile fields unknown instead of inventing platform metadata.
For Discord, enable Message Content Intent and grant the Bot View Channels, Read Message History, Send Messages, Send Messages in Threads, and Attach Files. The Channels page shows the same setup list.
The account owner proves their channel identity by sending the one-time pairing
code to the Bot in a direct message. Other people are admitted only when the
owner manually enters their exact platform user IDs in the allow list, one ID
per line. An allow-listed non-owner gets text-only message access to the
current conversation or the paired owner's direct message; there is no
agent-to-agent channel protocol.
External channel history is visible in the browser as read-only history. The Server persists a complete Agent reply before the platform adapter splits it into bounded Discord or DingTalk messages. Each platform action is issued at most once and its outcome is stored; partial, failed, or unknown delivery is not retried automatically. Send a new message in the original channel to start a new Agent turn and try again.
Security and current boundaries
restrict_to_workspace=trueconfines OpenOctopus-resolved file paths and an exec session's initial working directory. It is an application path guard, not an operating-system sandbox, and it does not constrain shell commands, MCP, or networking.- Exec, PTY/ConPTY, and Device MCP inherit the permissions of the user running the Client. Install and pair them only on computers you trust.
- Server and Client
web_fetchhave independent configurable denylists. Exec and MCP networking is open by design and can bypass those denylists. - Server and Device MCP environment variables and HTTP headers are stored in PostgreSQL as reversible plaintext and redacted from API responses. Remote MCP headers require an HTTPS endpoint; sending secret-bearing Device MCP configuration to a Client also requires WSS.
- Attachments from allow-listed non-owners are rejected before any byte download, so they cannot reach the owner's Workspace or Client. Attachments sent by the paired owner may enter the owner's Workspace as authorized data; they are not executed automatically and OpenOctopus does not claim antivirus scanning.
- The current Server uses one ASGI worker and process-local coordination. Do not run multiple workers or multiple Server replicas against one deployment.
- The release bundles are unsigned, platform-native one-folder applications; they are not installers, services, or single static binaries.
- PTY/ConPTY targets line-oriented REPLs and simple prompts. Full-screen TUI applications and reliable secret/password entry are outside the current support boundary.
- Document conversion supports PDF, DOCX, XLSX, PPTX, and downloaded HTML. OCR, audio/video, archive recursion, and direct remote PDF/Office conversion are not enabled.
/healthchecks PostgreSQL and RustFS. Optional MCP runtime status is exposed through the corresponding administrator configuration view.
For an Internet-facing deployment, keep OpenOctopus behind a TLS reverse proxy,
use HTTPS/WSS, and set OPENOCTOPUS_COOKIE_SECURE=true in a private copy of
server/.env.example selected through OPENOCTOPUS_SERVER_ENV_FILE.
Development and verification
Python packages require Python 3.12 or newer. The frontend uses Node.js 24.
Frontend:
cd frontend
npm ci
npm run generate:api
npm run lint
npm run typecheck
npm test
npm run build
Run the Vite frontend against a Docker Server at 127.0.0.1:8080:
cd frontend
npm run dev
Client:
cd client
python3.12 -m venv .venv
. .venv/bin/activate
python -m pip install -e '.[dev,build]'
python -m ruff check .
python -m mypy --strict src tests
python -m pytest -q
python -m PyInstaller --noconfirm --clean openoctopus_client.spec
Server, with PostgreSQL, RustFS, and the configured bucket available:
cd server
cp .env.example .env
python3.12 -m venv .venv
. .venv/bin/activate
python -m pip install -e '.[dev]'
python -m pip install -e ../client
ruff check .
mypy src
pytest -v
Frontend browser smoke tests additionally require Chromium, the Server test dependencies, PostgreSQL, RustFS, and the configured bucket:
cd frontend
npx playwright install --with-deps chromium
npm run e2e
CI verifies the Server on Python 3.12 and 3.13, native Client tests and frozen bundles on Linux x64, macOS arm64/x64, and Windows x64, the frontend unit and browser suites, and Linux amd64/arm64 Server images.
Reference
License
Установка OpenOctopus
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/Zpoteiti/OpenOctopusFAQ
OpenOctopus MCP бесплатный?
Да, OpenOctopus MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для OpenOctopus?
Нет, OpenOctopus работает без API-ключей и переменных окружения.
OpenOctopus — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить OpenOctopus в Claude Desktop, Claude Code или Cursor?
Открой OpenOctopus на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
Roblox Studio
Enables AI coding tools to control Roblox Studio for workspace exploration, instance manipulation, and script management. It provides tools for playtesting, sce
автор: paralovAWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzMCP-Agent
A simple, composable framework to build agents using Model Context Protocol by [LastMile AI](https://www.lastmileai.dev)
автор: lastmile-aiSpring AI MCP Client
Provides auto-configuration for MCP client functionality in Spring Boot applications.
mcp.natoma.ai
A Hosted MCP Platform to discover, install, manage and deploy MCP servers by [Natoma Labs](https://www.natoma.ai)
MCPHub
Website to list high quality MCP servers and reviews by real users. Also provide online chatbot for popular LLM models with MCP server support.
MCP Servers Rating and User Reviews
Website to rate MCP servers, write authentic user reviews, and [search engine for agent & mcp](http://www.deepnlp.org/search/agent)
Compare OpenOctopus with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
