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Darce

The AI coding agent you can undo

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This is 1 of 321 launches in ai coding agents — see how it stacks up on momentum and crowding →

634 other launches read as similar to this one →

Details

External ID
1274948
Source
PH
Company
—
Product
Darce
Website domain
producthunt.com
Launched
Oct. 12, 2026
Cohort
—
Upvotes
2
Upvotes percentile
0.76
Tags
Open Source, Developer Tools, Artificial Intelligence, GitHub

Description

Darce is the coding agent you can undo. It works in your terminal with 250+ models (Claude, GPT, Gemini, Qwen, DeepSeek, Kimi), and every change it makes, even what its shell commands did, rolls back with /undo. Anything risky asks first. /swarm splits a task across parallel agents in separate git worktrees. /derby races 3 models on the same task so you keep the best diff. MIT open source. Try it free: 10 requests, no account.

Enrichment

Niche
ai coding agents
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
reversible ai coding agent for developers
Manually corrected
False

Could you build this?

Partial While wrapping LLM APIs in a terminal CLI is straightforward, implementing reliable arbitrary shell command rollback/undo and orchestrating parallel agents across git worktrees requires non-trivial systems-level programming.

What it would actually take: A real implementation needs a Node/Go/Rust CLI that integrates with LLM tool-calling APIs and manages isolated git worktrees for parallel execution. The core challenge is the undo engine, which must sandbox shell execution (via e.g., eBPF, container snapshots, or filesystem copy-on-write like overlayfs) to accurately track and revert filesystem and system-level mutations caused by arbitrary bash commands.

Competitors

Other products that read as similar to this one — 634 launches clear the similarity bar, closest 8 shown.

Attention rank: #152 of 635 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 348 days after the earliest competitor.

Other launches for this product