OpenHands
Unclaimed verified 26 aug 2026The open platform for AI coding agents that execute real engineering work
TL;DR
OpenHands (formerly OpenDevin) is an open-source platform and SDK for autonomous AI coding agents that can plan, write code, run terminal commands, and debug software. Built for individual developers and engineering teams, it differentiates itself through a model-agnostic architecture, transparent sandboxed execution, and flexible self-hosting options.
What Users Actually Pay
No user-reported pricing yet.
Our Take
OpenHands holds a prominent position in the open-source software engineering agent landscape. Unlike code completion assistants that operate strictly inside an IDE gutter, OpenHands functions as an end-to-end task executor using an event-sourced architecture and the CodeAct paradigm. It runs commands in isolated sandboxes, inspects test results, interacts with the browser, and submits pull requests autonomously. Its key strengths lie in provider flexibility and extensibility. Developers are not locked into proprietary models; they can use frontier APIs like Claude 3.5 Sonnet and GPT-4o or run local open weights via LiteLLM and Ollama. The platform also offers first-party Python SDKs and Model Context Protocol (MCP) support for building custom domain-specific agent loops. However, autonomous execution is compute and token intensive. When paired with smaller open-weight models, agents can struggle with prompt adhesion, multi-step reasoning, or tool syntax errors. Additionally, self-hosting requires configuring Docker environments and managing runtime isolation. OpenHands is best suited for engineering teams, AI researchers, and DevOps practitioners who want customizable, self-hosted or cloud-managed AI software engineering agents integrated directly into GitHub, GitLab, and CI/CD pipelines.
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Pros
- + Model-agnostic design supporting commercial frontier models and local LLMs via Ollama and LiteLLM
- + Sandboxed Docker-based runtime environment for safe command execution and browser interactions
- + Native GitHub and GitLab integrations for automated issue solving and pull request creation
- + Modular Python Software Agent SDK with Model Context Protocol (MCP) support
Cons
- - High token consumption during complex multi-step debugging and code generation tasks
- - Local setup and environment configuration require Docker proficiency and troubleshooting
- - Smaller local open-weight LLMs can struggle with tool calling and get stuck in logic loops
Agent Readiness
59/100OpenHands exhibits high agent readiness. It provides both REST and WebSocket APIs alongside a dedicated Python Software Agent SDK, enabling external systems to orchestrate agents and subscribe to real-time execution event streams. While it lacks native no-code connectors like Zapier or Make, it integrates deeply with GitHub/GitLab webhooks, CI/CD pipelines, Docker sandboxes, and the Model Context Protocol (MCP).
Last checked Aug 28, 2026
[ features ]
Geostrategic Position
Information on which part of the world this product / vendor belongs to, i.e. the country of their headquarters primarily, but also their hosting options etc.
Find which geostrategic world region the headquarter is located in. Relevant for compliance questions (e.g., CLOUD Act) or risk of cut-off in case of conflicts. For example, some EU companies are worried about the US and would definitely not host their customer with Chinese or Russian companies.
The hosting provider that is used to host this product, if any.
The available hosting locations, if you can choose
Compliance & Security
Security certifications, compliance features, and access control capabilities.
SOC 2 Type I or Type II certification.
ISO 27001 information security certification.
Built-in tools for GDPR compliance (data export, deletion, consent).
Complete audit log of all data changes.
Granular permissions based on user roles.
Single Sign-On integration support.
Security, Privacy & Support
Features ensuring data protection, quality assurance, and user assistance.
Compliance standards for data security.
Automatic deletion of user photos after processing.
Availability of real-time customer support.
Offers free remakes for unsatisfactory results.
Pricing & Free Tier
Free tier limits and overall pricing structure.
Maximum Monthly Active Users allowed on the free tier.
Key usage metrics that incur costs.
Autonomy & Workflow
Level of autonomous execution and human oversight mechanisms across the SDLC
Can complete multi-step engineering tasks with minimal human intervention
Provides explicit approval gates, oversight dashboards, and workflow governance
Supports running multiple agents simultaneously for concurrent tasks
Automatically learns and retains knowledge from existing codebases over time
SDLC Coverage
Which stages of the software delivery lifecycle the product can handle
Supports ingesting requirements from Jira, Figma, or natural language and generating plans
Generates or edits production code across multiple files
Creates tests, runs test suites, and performs visual or regression QA
Handles deployments, incident triage, runtime monitoring, and observability
Performs pull request reviews and generates documentation
Integrations & Ecosystem
Connections to developer tools, IDEs, and collaboration platforms
Supported code editors and development environments
Native integration with GitHub, GitLab, or other version control systems
Connections to issue tracking and project management tools
Integrations with communication and alerting platforms
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Reviews
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