Hanesu vs Opencode

Hanesu and Opencode are both cli coding agents tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Hanesu

The project borrows from Harness Engineering principles: work is broken into phases with task files, role handoffs, quality gates, and progress artifacts written to disk. Agents using runtimes like OpenCode, Codex, or Claude Code run through that structure rather than a monolithic prompt. The vendor explicitly flags this is not for small, obvious edits — a direct prompt is faster there. Where it earns its place is multi-step refactors, security-sensitive changes, or bugfix workflows where you need the agent to stop, surface what it found, and wait for your sign-off before proceeding.

Opencode

OpenCode is an open-source coding agent that runs in your terminal, a desktop app, or an IDE extension, connecting to 75+ LLM providers including local models. You can spin up multiple agents on the same project in parallel, share debug sessions via a link, and log in with your existing GitHub Copilot or ChatGPT Plus credentials rather than paying again. The no-data-storage architecture makes it viable in privacy-sensitive environments where cloud-only tools are ruled out. The ceiling shows up when you need validated, consistent model performance out of the box — that lives behind the paid Zen add-on, not in the free tier.

Attribute	Hanesu	Opencode
Pricing	Free	Paid
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	npm, GitHub	Terminal, Desktop (beta macOS/Windows/Linux), IDE extension
Pros	Phase-gated workflow structure means the agent stops and surfaces findings before writing code, so risky refactors don't reach your codebase without a checkpoint you signed off on. Artifact writing is built into each phase, so decision records and discovery outputs are committed alongside the code change — teams doing security audits or post-incident reviews have a documented trail rather than a reconstructed chat log. MIT license and local repo installation means no external service dependency and no data leaving your environment, which removes the approval friction that blocks adoption in regulated or air-gapped codebases. Works alongside existing agent runtimes rather than replacing them, so teams already invested in OpenCode, Codex, or Claude Code don't have to abandon their toolchain to add structured workflow control.	Connects to 75+ LLM providers including local models, so switching from a cloud API to an on-premise model when data policy demands it is a configuration change rather than a migration. Reuses existing GitHub Copilot or ChatGPT Plus/Pro subscriptions, which means teams already paying for those services get OpenCode's agent layer without an additional per-seat cost. Multi-session parallel agents on the same project, so a developer running a refactor and a test-generation task simultaneously does not queue one behind the other. No code or context stored by the vendor, which means the tool can be deployed in privacy-sensitive or regulated environments where most cloud coding assistants are disqualified at the security review. Session sharing via link lets a developer hand a debug session to a colleague or reviewer without screen-sharing or copy-pasting context — the full session state travels with the URL.
Cons	For tasks that are small or well-defined, the phase and artifact overhead slows the agent down relative to a single direct prompt — the tool's own docs acknowledge this, but teams will still burn time learning where that line sits in their specific codebase. The project carries 2 stars and 4 commits at the time of curation; there is no issue tracker activity and no documented community — teams hitting an undocumented edge case in the gate logic have no support channel beyond reading the source code themselves. Hanesu has no API and no integration surface beyond local repo files, so any team that needs to tie agent workflow state into CI pipelines, ticketing systems, or deployment gates will have to build that plumbing from scratch — at which point they are maintaining the workflow layer Hanesu provides plus the integration layer it doesn't, and a more mature agent orchestration platform becomes the faster path.	Model quality and consistency across the free tier's 75+ providers is unvalidated — teams that need reliable agent output without running their own benchmarks hit this wall on the first serious project, at which point they are paying for the Zen add-on or sourcing their own curated model list. The desktop app is in beta on all three platforms; production teams that need a stable, non-beta GUI for daily driver use are back to the terminal interface or the IDE extension until the desktop release matures — the beta label is not a soft warning when a broken update interrupts a sprint. There is no built-in team management, access control, or audit logging described in the vendor's page — organizations that need to track which agents ran what prompts on which codebase for compliance purposes will find those controls absent and move to an enterprise-tier coding platform that ships them by default.

Bottom line

Hanesu is free while Opencode is paid. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Hanesu and Opencode?

Hanesu is Free and open source, while Opencode is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Hanesu better than Opencode?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.