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Octop

Octop is an open-source, self-hosted AI assistant that runs a multi-agent environment for individuals, households and small teams. Its single-process deployment combines a web dashboard, CLI, messaging channels and scheduled automation, while specialized agents, shared experts and persistent workspace memory support collaborative and parallel assistance.

Independent OpenViST project profile, based on linked sources.

Octop — OpenViST project profile in Multi-Agent Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Octop when a person, household or small team needs a self-hosted assistant that combines multiple specialized agents with shared workspaces, persistent memory, messaging access and automation. It is also relevant when developer workflows need ACP connections to OpenCode or Claude Code, or when private documents should ground assistant responses.

Who it is for

  • Individuals wanting a local assistant with persistent workspace memory.
  • Households sharing agents, experts and knowledge bases through one deployment.
  • Small teams coordinating specialized agents and reusable skills.
  • Developers connecting assistant workflows to terminal and coding tools through ACP.

Documented uses

  • Run personal assistants for reports, notes and scheduling.
  • Coordinate multi-step work with parallel agents or AgentTeams.
  • Share experts, skills and sub-agent pools across users.
  • Ground answers in private documents through a RAG knowledge base.
  • Connect assistant workflows to messaging channels, browser automation, terminal assistance and coding tools.
Before you choose

Requirements & limits

The project is publicly available as open-source software under the MIT license. The repository documents Linux, macOS and Windows targets, Python 3.12+ and self-hosted deployment.

  • Self-hosting: conversations, workspaces and credentials are described as remaining on the user's machine.
  • Multi-user design: JWT isolation and shared experts support household and team deployments.
  • Storage flexibility: control-plane data uses SQLite by default, with PostgreSQL available as an option; agent files can use several workspace backends.
  • Integration breadth: the project lists web, CLI, IM, HTTP/SSE/WebSocket, OAuth, MCP and ACP access paths.
  • Automation scope: cron, browser automation, terminal assistance and remote desktop extend the assistant beyond chat.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Octop as a self-hosted multi-agent assistant

Prepare a local Octop deployment with its dashboard, CLI, integrations and shared workspace architecture.

Before you start

  • A Linux, macOS or Windows machine.
  • Python 3.12 or newer.
  • The Octop source repository or its published Python package.
  • A local control-plane data location; SQLite is the default, with PostgreSQL documented as an option.

Steps

  1. Obtain Octop from the official repository or Python package listed by the project.

  2. Run Octop as the single process described by the project so the web dashboard, CLI, messaging channels and cron are available together.

  3. Choose a workspace backend for agent files: local disk, Docker sandbox, PostgreSQL or COS/S3.

  4. Configure users, experts, connectors or knowledge bases for the intended individual, household or team workflow.

Expected outcome

A self-hosted Octop environment prepared for multi-user, multi-agent assistance and shared workspaces.

Guide limitations

  • The supplied setup material does not document exact installation commands, provider configuration steps or a completed task run.
  • AgentTeams is identified as beta.
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
OctopRun personal assistants for reports, notes and scheduling.Linux, macOS, Self-hosted, WindowsThe project is publicly available as open-source software under the MIT license. The repository documents Linux, macOS and Windows targets, Python 3.12+ and self-hosted deployment.
Insurance Agentic AIRoute insurance questions to a life, home or auto specialist.Docker, Self-hosted, Web
AI ChatkitCreate and orchestrate agents with custom behavior logic.Linux, Self-hosted, Server, WebThe repository is public and identified as open source. Its README documents a local development setup with Python and Node-based frontend tooling.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
2 October 2026
Original website title
TencentCloud/Octop · Official homepage title · retained in its source language