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All Hands AI

All Hands AI

A hosted autonomous AI software engineer built on the open-source OpenHands project, designed to execute coding tasks in a sandboxed environment rather than just suggesting text.

Excellent for developers who want an agent to handle PRs and bug fixes autonomously, but weaker for high-level architectural decisions that require deep business context.

Open-Source Ai Agents Ai Coding Assistant Software Engineering Code Generation Debugging Developer Productivity Llm

Analysis based on product data, pricing structure, traffic signals, and public user sentiment.

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Who Should Use All Hands AI?

Typical users

Software engineers, DevOps teams, and open-source maintainers looking to automate routine coding chores.

Maturity fit

scaling

Choose this if…

You want an AI that can actually run code and tests in a sandbox
You prefer an open-source foundation over proprietary 'black box' agents
Your priority is automating repetitive maintenance tasks like dependency updates or documentation

Skip this if…

You need 100% accuracy on complex, multi-service architectural changes
Your security policy prohibits third-party agents from accessing your internal repositories
You only want simple code completion (stick to GitHub Copilot for that)

About All Hands AI

All-Hands is the commercial entity behind OpenHands (formerly OpenDevin). It provides a managed, cloud-based environment for AI agents to perform end-to-end software engineering tasks including coding, testing, and debugging.

Official profiles

X (Twitter) LinkedIn GitHub

What it actually does

The tool takes natural language prompts and translates them into a series of actions: writing code, executing terminal commands, and browsing the web for documentation. It operates in a secure Docker sandbox to verify that the code it writes actually works before presenting it to the user.

What makes it different

Unlike standard LLM chat interfaces, All-Hands is an 'agentic' system that uses a feedback loop. It sees the errors in its own terminal output and iterates on the solution until the task is successful, rather than just providing a single static response.

Sandboxed code execution in Docker Autonomous terminal and shell access Integrated web browsing for documentation Multi-file codebase editing GitHub repository integration Support for multiple LLM backends (Claude, GPT-4o) Interactive task visualization

Key Features

Event-based Architecture

Allows the agent to react to real-time terminal feedback and browser states.

Sandboxed Runtime

Ensures code execution happens in an isolated environment to protect your local machine.

Browser Tooling

Enables the agent to search the live web for the latest API documentation, reducing hallucinations.

Open-Source Core

Built on OpenHands, allowing users to inspect the underlying logic and contribute to its development.

Task Tracking

Provides a visual timeline of the agent's thoughts, actions, and code changes.

GitHub Action Integration

Can be triggered automatically to respond to issues or pull requests.

Pricing

Open Source (Self-Hosted)

Free

Full access to OpenHands core
Self-managed Docker environment
Use your own LLM API keys
Community support

Popular

Cloud Beta / Early Access

Contact monthly

Managed sandboxed environment
Priority compute access
Simplified GitHub integration
Team collaboration tools

Pricing checked 6 months ago

Pricing guidance

Best plan for most users: The Open Source version is best for most individual developers who have their own API keys and can manage a Docker container.

Free plan enough? Yes, the open-source core is fully functional for those willing to self-host.

Upgrade when:

When you need a managed environment for a team
When you want to avoid the overhead of self-hosting Docker runtimes
When you need enterprise-grade security and access controls

Watch out for:

Token costs are usually separate if self-hosting
Cloud version may have task-per-month limits during beta

Positioned as an open-source alternative to Devin, focusing on accessibility and transparency.

Pros & Cons

Strengths

Autonomous execution
It doesn't just write code; it runs tests and fixes its own bugs, which saves developers from the manual 'copy-paste-test' cycle.
Open-source transparency
Because it is built on OpenHands, there is no vendor lock-in and the community-driven development ensures rapid feature updates.
Reduced hallucinations
By using a web browser to look up current documentation, it avoids the common AI pitfall of using outdated or non-existent library methods.

Weaknesses

High token consumption
Agentic loops involve multiple calls to LLMs, which can lead to high API costs if not managed carefully.

Affects: Individual developers on tight budgets
Latency
Complex tasks can take several minutes to complete as the agent iterates through different solutions.

Affects: Users expecting instant code completions
Reliability in large repos
The agent can sometimes get 'lost' or enter infinite loops when navigating massive, poorly documented codebases.

Affects: Enterprise teams with legacy monoliths

Real User Sentiment

Generally positive, with users praising the transparency and the 'agentic' approach, though some note it is still early-stage software.

Users tend to like

The ability to run and verify code
Open-source nature
Active development community
Clean UI for tracking agent progress

Users commonly complain about

Occasional infinite loops
High cost of running GPT-4o/Claude 3.5 Sonnet in loops
Setup can be tricky for non-Docker users

Recurring tradeoffs

Users trade speed for autonomy; it is slower than a human but works in the background.

Happiest users

Developers who use it to knock out 'boring' tasks like writing unit tests or refactoring small modules.

Often frustrated

Users who expect it to build entire complex applications from a single prompt without any intervention.

Use Cases

Bug Fixing

Provide an issue description and let the agent find the file, write the fix, and run tests.

Unit Test Generation

Automatically generate test suites for existing functions to increase code coverage.

Dependency Updates

Let the agent handle breaking changes when upgrading libraries.

Documentation

Have the agent read the code and update README files or API docs.

Feature Prototyping

Quickly scaffold a new feature based on a high-level description.

Frequently Asked Questions

What is the difference between OpenHands and All-Hands?

OpenHands is the open-source project (formerly OpenDevin) that anyone can download and run. All-Hands is the company that contributes to the project and provides a managed cloud platform for teams who don't want to manage their own infrastructure.

How does All-Hands compare to Cognition's Devin?

Devin is a proprietary, closed-source platform. All-Hands is built on an open-source core (OpenHands), allowing for more transparency, customizability, and the ability to run it locally or in your own VPC.

Is there a free version of All-Hands?

Yes, the core OpenHands project is free and open-source. You can run it locally using Docker. The All-Hands cloud platform typically offers a limited free tier or early access for testing.

Which LLMs does All-Hands support?

It supports a wide range of models including OpenAI's GPT-4o, Anthropic's Claude 3.5 Sonnet, and various open-source models via providers like Ollama or LiteLLM.

Is it safe to give All-Hands access to my code?

All-Hands runs code in a sandboxed Docker container, which isolates the execution from your host machine. However, you should still exercise caution when granting it write access to sensitive production repositories.

Can All-Hands browse the internet?

Yes, it has a built-in browser tool that allows it to search for documentation, read blog posts, and find solutions to errors on sites like StackOverflow.

Why trust this page?

This evaluation combines product positioning, pricing analysis, traffic and market signals, and public user sentiment into a single decision-support page. Content is generated editorially — not copied from the vendor's website.

Funding & Company

Founded

2024

Stage

Seed

Total Raised

$5M

Latest Round

Seed (Sep 2024)

Notable Investors

Menlo Ventures Pillar VC Betaworks Thom Wolf

All Hands AI secured a $5 million seed round in September 2024, led by Menlo Ventures. This initial funding is aimed at developing its open-source platform, OpenHands, which provides AI agents to automate software development tasks.

Full funding report high confidence

Market Signals & Traffic

Estimated visits, global rank, geography, traffic sources, monthly visit trends, and organic search keywords (Similarweb)—on a dedicated page built for depth and search.

Estimated visits: 0
Global rank: —
Snapshot: Jun 2026
Traffic trend: Surging