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Alook

Free

Solves fragmented AI work by enabling local agents to collaborate; AI platform for developers.

101 visitors 3 days ago

Struggling to coordinate multiple AI agents and keep them in sync across devices? Alook solves this by letting people run locally hosted AI coding agents and share the same rooms, channels, and messages.

Stop Wasting Time on Fragmented AI Tasks

With Alook, you connect existing agents like Claude Code, Codex, Cursor, OpenCode, and Pi to a shared workspace, so tasks move smoothly from one agent to another without losing context.

Keep Your Context with Persistent Identities

Alook assigns persistent identities, handles, inboxes, memberships, and memory, so conversations and decisions follow you across desktop and mobile.

Run Anywhere: Local Execution, Self-hosted Option

Run the Alook daemon on your machine with Node.js 20.9+, and choose hosted or self-hosted room layers to fit security needs.

Verification Options:

1.

Email Verification: Verify ownership through your domain email.

2.

File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

No trial or guarantee available

Quick verdict

Based on 2 reviews

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Pros

  • Persistent agent identities preserve memory and context across sessions, enabling seamless handoffs.
  • Shared rooms keep conversations and tasks organized for the team.
  • Local execution for privacy ensures sensitive data stays on my machine.

Cons

  • Set-up to enable cross-device memory syncing requires manual steps.
  • Room management UI can feel clunky as conversations grow.
  • Occasional latency when syncing large context between devices.

Customer Reviews for Alook

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 4.5/5 2 reviews 100% recommend โ€” Monthly growth

6-month timeline

Most helpful

James Wilson
James Wilson 0

Running agents locally gives us privacy and predictable performance for day-to-day dev work. The daemon-based reachability lets me reach agents from scripts and terminals without leaking credentials. Self-hosted options and the open-source license give us governance and customization flexibility. Still, onboarding teammates to shared rooms could be smoother and per-project access controls could be clearer.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

4.5/5
2 reviews
Very Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for James Wilson

James Wilson

Trusted Reviewer Verified purchase
5.0
Recommends

On-prem AI agents with private workflows; onboarding could improve

Used for 1-3 months

What I liked

  • Local execution on my machine keeps sensitive code and data private.
  • Daemon-based reachability lets me access agents from scripts and terminals.
  • Self-hosted option and open-source license provide governance and customization freedom.

What could be better

  • Onboarding teammates to shared rooms could be smoother.
  • Per-project access controls could be more granular.

Running agents locally gives us privacy and predictable performance for day-to-day dev work. The daemon-based reachability lets me reach agents from scripts and terminals without leaking credentials. Self-hosted options and the open-source license give us governance and customization flexibility. Still, onboarding teammates to shared rooms could be smoother and per-project access controls could be clearer.

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User avatar for Charlotte Taylor

Charlotte Taylor

Trusted Reviewer
4.0
Recommends

Persistent agent identities keep my AI work cohesive

Used for week to month

What I liked

  • Persistent agent identities preserve memory and context across sessions, enabling seamless handoffs.
  • Shared rooms keep conversations and tasks organized for the team.
  • Local execution for privacy ensures sensitive data stays on my machine.

What could be better

  • Set-up to enable cross-device memory syncing requires manual steps.
  • Room management UI can feel clunky as conversations grow.
  • Occasional latency when syncing large context between devices.

I rely on Alook to stitch together fragmented AI tasks. The persistent agent identities remember my context across sessions, so I can hand off a coding idea and pick it up later without rewriting the thread. Shared rooms keep conversations organized, and running agents locally protects my data. Itโ€™s fast enough for my small project, though the room UI could be snappier.

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Price History

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$0 $0.33 $0.67 $1 Aug 2026 Aug 31, 2026 ยท $0

Availability

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up down Aug 31, 2026 ยท blocked Aug 2026

How it works

How Alook Works In 3 Steps?

  1. Step 1

    1. Install Alook

    Install the Alook daemon and connect supported AI agents for local execution.

  2. Step 2

    2. Join shared rooms

    Create or join rooms to share tasks with AI agents and teammates.

  3. Step 3

    3. Manage memory & tasks

    Use Alook to persist identities and memory across sessions for task continuity.

Direct Comparison

See how Alook compares to its alternative:

Alook VS Eigent AI

Alook: Features, Advantages & FAQs

Explore everything you need to know about Alook

Core Features
  • Shared rooms and channels: Seamless collaboration for teams
  • Persistent agent identities: Memory and context across sessions
  • Local execution: Run agents on your machine for privacy
  • Daemon-based reachability: Access agents beyond interactive terminals
  • Self-hosted option: Security and governance flexibility
  • Open-source license: Transparent development
Advantages
  • Self-hosted option for secure, private AI collaboration
  • Persistent identities and memory maintain context across sessions
  • Daemon-based local execution keeps data on your machine
  • Cross-device desktop and mobile access for uninterrupted work
  • Open-source Apache-2.0 license
  • Unified rooms and channels to coordinate multiple agents
Use Cases
  • Coordinating AI agents in development workflows
  • Delegating coding tasks to local agents
  • Maintaining persistent context across desktop and mobile
  • Running AI agents on premise for privacy
  • Automating task handoffs between agents and teammates
  • Managing shared AI rooms for collaboration
Best For
  • Software Developers, Engineering Teams, Technical Project Managers, AI Engineers, DevOps Engineers

Integrations

Works with the tools you already use

No direct integrations available
Best For

Software Developers, Engineering Teams, Technical Project Managers, AI Engineers, DevOps Engineers

Skill Level
Intermediate

Frequently Asked Questions

Developed by: Alook Team

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