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Alook

Alook is an open-source TypeScript framework and application that connects people with locally running coding agents in shared rooms, giving those agents persistent identities, inboxes and memberships across servers, channels and direct messages.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Alook — 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 Alook when an existing local coding agent needs a shared communication layer for people, rooms and persistent agent identity.

Who it is for

  • Teams sharing access to local coding agents
  • Developers using supported coding-agent runtimes
  • Builders seeking a self-hosted or desktop coordination layer for people and agents

Documented uses

  • Bring existing local coding agents into rooms with human collaborators
  • Give an agent a persistent handle and inbox across rooms
  • Coordinate agent conversations through servers, channels and direct messages
  • Keep the agent runtime on the user’s machine while making it reachable to trusted people
Before you choose

Requirements & limits

The repository documents CLI, desktop and self-hosted components. The project is open source under the Apache-2.0 license. The quick start uses `npx @alook/app onboard` and starts Alook locally.

  • Alook connects to agents already on the machine and does not supply or host its own models.
  • The documented supported runtimes are Claude Code, Codex, Cursor, OpenCode and Pi.
  • The repository identifies TypeScript, Next.js, Cloudflare Workers, Bun, WebSockets, SQLite and file storage in its architecture.
  • The quick start documents machine connection, runtime detection and local startup, but not detailed runtime-specific integration interfaces.
  • Its local-first design keeps the agent running on the user’s machine while trusted people communicate with it.

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

Connect a local coding agent to Alook

Connect a machine, detect local runtimes and start Alook locally.

Before you start

  • A local coding-agent runtime supported by Alook, such as Claude Code, Codex, Cursor, OpenCode or Pi.
  • The @alook/app package available through the documented npx command.

Steps

  1. Run the command below.

    Documented command
    npx @alook/app onboard

  2. Follow the onboarding flow to connect the machine.

  3. Allow the setup to detect available runtimes.

  4. Start Alook locally and open http://localhost:15210 when the flow is complete.

Expected outcome

The machine is connected, detected runtimes are identified and Alook is started locally.

Guide limitations

  • The supplied instructions do not specify additional operating-system requirements or the exact integration interface for each runtime.
  • This describes the documented onboarding flow, not an independent execution test.
Documentation 1 ↗
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
AlookBring existing local coding agents into rooms with human collaboratorsCLI, Desktop, Self-hostedThe repository documents CLI, desktop and self-hosted components. The project is open source under the Apache-2.0 license. The quick start uses `npx @alook/app onboard` and starts Alook locally.
MassgenRun multiple AI agents against the same user task.CLIThe repository documents installation through pip or uv and requires Python 3.11 or later. Setup can configure API keys for OpenAI, Anthropic, Google and xAI; credentials are needed for the selected model backends.
Langchain Multi Agents BoilerplateRoute incoming football questions to model and agent workflows according to task complexity.WebThe repository is public and specifies an MIT license. Running the application requires OpenAI and Groq API keys and a Redis server.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
4 October 2026
Original website title
alookai/alook · Official homepage title · retained in its source language
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