Stagewise vs OpenHands (2026)

Stagewise

by stagewise (YC S25)

OpenHands

by All Hands AI

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.

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 84.9k 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.

Limitations

• ⚠The privacy policy states that All Hands AI may use content and feedback from your use of the hosted Services to train and tune its AI models, and no opt-out mechanism is published. Self-hosting the MIT build avoids this because nothing leaves your environment.
• ⚠The Vanta trust center publishes a controls framework and subprocessors but names no certification of any kind, and lists an engagement letter rather than a completed attestation. There is no SOC 2, ISO 27001 or equivalent to point at.
• ⚠Enterprise is the only route to multi-user RBAC, SAML and SSO, centralized billing, the Agent Control Plane and the Large Codebase SDK, and its price is not published on any surface.