All Hands AIOpen-source AI software engineering agents that automate developer workflows.
Overview
Key features
- Autonomous coding agents with sandboxed execution
- File editing, terminal, and browser tool use
- GitHub integration and pull request workflows
- Pluggable LLM backends (Anthropic, OpenAI, local models)
- Self-hosted or managed cloud deployment
- Open-source codebase with extensible architecture
Pricing
- Model
- Freemium
- Category
- Software Development
- Rating
- 4.5 / 5 (6)
Use cases
Automate Pull Request Workflows
Connect the agent to GitHub to triage issues, implement fixes, and open pull requests, letting engineers review AI-generated changes instead of writing boilerplate code from scratch.
Self-Hosted Coding Assistant
Deploy the open-source agent inside a private environment with your choice of LLM backend, giving teams a transparent, customizable alternative to closed proprietary coding assistants.
End-to-End Task Execution
Hand off multi-step development tasks that require reading code, editing files, running terminal commands, and browsing docs, all within a sandboxed environment.
Experiment with LLM Backends
Swap between Anthropic, OpenAI, or local models to benchmark performance, cost, and reliability for autonomous coding workloads on real repositories.
Pros & Cons
Pros
- Fully open-source and self-hostable
- Supports multiple LLM providers
- Active community and rapid development
- Handles end-to-end coding tasks, not just suggestions
Cons
- Requires technical setup for self-hosting
- Agent reliability varies by task complexity
- Running capable models can be costly
- Still evolving with breaking changes
Reviews
Average from 6 ratings.
Sign in to leave a review.
Years in this space
I've evaluated a lot of these over the years. What stands out here is pluggable LLM backends (Anthropic, OpenAI, local models) — handled better than most — and supports multiple LLM providers. Still evolving with breaking changes is my one real gripe. Worth the time if this is your use case.
Does the job
Pretty happy overall. File editing, terminal, and browser tool use just works and handles end-to-end coding tasks, not just suggestions. Still evolving with breaking changes can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Years in this space
I've evaluated a lot of these over the years. What stands out here is pluggable LLM backends (Anthropic, OpenAI, local models) — handled better than most — and handles end-to-end coding tasks, not just suggestions. Worth the time if this is your use case.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on autonomous coding agents with sandboxed execution, and fully open-source and self-hostable caught me off guard. still, I'd recommend giving it a real trial.
Compared a few options
Evaluated this against two competitors. Where it wins: autonomous coding agents with sandboxed execution and supports multiple LLM providers. Where it lags: agent reliability varies by task complexity. On balance the feature set — especially file editing, terminal, and browser tool use — justifies the 4 stars for our use case.
Use it every day
Honestly didn't expect to like it this much. GitHub integration and pull request workflows is exactly what I needed, and supports multiple LLM providers. but I reach for it almost every day now and it just clicks.
Q&A
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