Backgrind vs Hanesu

Backgrind and Hanesu 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.

Backgrind

Backgrind is a floating overlay window that keeps your AI coding agent — Claude Code, Cursor CLI, or its own hosted agent Grindy — visible over any app, browser, or fullscreen game. The window flashes and chimes only when the agent needs a decision; otherwise it stays quiet. Click-through mode lets your keystrokes and clicks pass straight through the overlay to whatever is underneath. Running multiple agents simultaneously is supported, each pinned to a separate folder. The architecture is a thin frontend over CLIs you already use, so there is no new auth layer — except when you use Grindy, where Backgrind controls the account and metered billing.

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.

Attribute	Backgrind	Hanesu
Pricing	Paid	Free
Free trial	No	No
Open source	No	Yes
Has API	No	No
Self-hosted option	No	Yes
Platforms	macOS, Windows	npm, GitHub
Pros	Always-on-top floating window means agent output stays visible over any app including fullscreen games, so you stop losing progress because you forgot to check a terminal. Click-through glance mode passes your keystrokes and mouse clicks straight through the overlay to whatever is underneath, so monitoring an agent costs zero interaction overhead. Flash-and-chime notifications trigger only when the agent needs a decision or finishes, so you are not pulled away from deep work for status noise. Backend-agnostic design lets you swap between Claude Code, Cursor CLI, and Grindy per workspace, so a spike in API costs or a credential issue with one provider does not halt every project. Grindy's hosted agent requires no CLI install, no API key management, and no config files, so developers without an existing Claude or Cursor setup can start running agents without prerequisite work.	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.
Cons	There is no API surface. Teams that want to trigger agents from a CI pipeline, a webhook, or an external script hit a hard wall immediately — at that point they are looking at Claude Code's native API or a self-hosted OpenCode instance, not Backgrind. Linux is not supported. A team where even one developer works on Linux cannot standardize on this tool across the team, and the decision to adopt it splits the workflow by OS. The overlay model assumes a human is watching the same physical machine. Remote or async scenarios — running an agent overnight on a build box and checking results the next morning from a different device — are not addressed by a documented mobile app or a web dashboard; the vendor describes remote monitoring as a use case but the scraped page does not detail how this is delivered. Grindy's metered billing model means long or exploratory tasks on large codebases with a 1M-token context window can accumulate cost quickly with no per-task cap, which makes it unsuitable for teams that need predictable monthly AI spend without careful top-up discipline.	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.

Bottom line

Backgrind is paid while Hanesu is free; Hanesu is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Backgrind and Hanesu?

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

Is Backgrind better than Hanesu?

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.