OpenHands vs Stagewise (2026)

OpenHands

by All Hands AI

Stagewise

by stagewise (YC S25)

Pros

• ✓Runs the full autonomous software engineering loop: reads an issue, writes code, runs tests, debugs failures and submits a pull request without per-step human direction.
• ✓Open source under MIT with bring-your-own-key model support, so it self-hosts on your own infrastructure with your choice of model and carries no vendor lock-in. It has 89.7k GitHub stars.
• ✓All Hands AI publishes the OpenHands Index, a public leaderboard scoring 33 model configurations across five categories of real engineering work, with per-category cost, runtime and downloadable logs. Very few commercial coding agents publish comparable evidence.
• ✓Jira, Slack and Git provider integrations, MCP support and the Cloud Agent SDK are included on every tier, including the two free ones, and scheduled and event-driven automations can open pull requests without a developer at the keyboard.

Limitations

• –Training depends on the tier. On the free hosted Individual tier the privacy policy states that All Hands AI may use content and feedback from your use of the Services to train and tune its AI models, with no opt-out published. Under an Enterprise Customer Agreement customer data is not used for training, and the self-hosted Open Source build sends nothing to the vendor.
• –The Vanta trust center names no certification. The vendor's Security FAQ dated July 2026 records SOC 2 Type II as in progress and ISO 27001 as not yet held, so there is no completed attestation to point at.
• –Enterprise is the only route to multi-user RBAC, SAML and SSO, centralized billing, the Agent Control Plane, the Large Codebase SDK and Azure DevOps, and its price is not published. The free hosted Individual tier is capped at 10 conversations per day.

Pros

• ✓Multi-agent orchestration with parallel execution: run multiple agents simultaneously each implementing full features or fixing bugs in isolated contexts, with an average 87.6% cache hit rate enabling long-running tasks at lower cost than single-agent alternatives.
• ✓Universal model support with BYOK or subscription passthrough: connect OpenAI, Anthropic, Google Gemini, DeepSeek, Qwen, Kimi, and more via your own API keys or existing coding subscriptions, with no vendor lock-in.
• ✓Open-source AGPL-3.0 with live app previews and git workflows: full source auditable on GitHub, app preview rendering shows changes live during agent execution, and git workflow integration handles branching and commits natively.

Limitations

• –macOS-only desktop app limits cross-platform team adoption: Windows and Linux support is not yet available, which is a hard constraint for teams that do not standardize on macOS development machines.
• –No public pricing page: paid plans exist via Stripe but tier details are not publicly listed, requiring direct contact or app sign-up to understand costs before committing to a subscription.
• –AGPL-3.0 license has commercial implications: teams embedding or distributing Stagewise as part of commercial products must comply with AGPL copyleft requirements, which may require legal review before enterprise adoption.