flazouh

flazouh / acepe

Public

The Agentic Developer Environment. Built on Tauri, Svelte 5, and the Agent Client Protocol.

acp agent ai developer-tools ide
13
2
100% credibility
Found Mar 29, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Acepe is a desktop application for coordinating multiple AI coding agents to work on software projects, reviewing changes, and managing git workflows to create pull requests.

How It Works

1
🔍 Discover Acepe

You find Acepe on GitHub or its website and download the app for your computer.

2
📥 Install and open

Run the installer and launch Acepe to see your clean workspace ready for action.

3
📁 Pick your project

Choose a folder with your code project, and Acepe scans it instantly.

4
🤖 Choose an AI helper

Select from agents like Claude Code or Cursor to assist with your coding tasks.

5
💬 Chat and collaborate

Type a request, watch the agent work live, and review every change it suggests.

6
✅ Approve and commit

Check diffs side-by-side, approve good changes, and create a git commit.

🚀 Ship your pull request

Push to GitHub and open a PR – your AI-assisted code is ready to merge!

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Star Growth

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AI-Generated Review

What is acepe?

Acepe is a native desktop app for agentic developer workflows, letting you run multiple AI coding agents like Claude Code, Cursor, or Codex side-by-side on real repos. Built with Tauri, Svelte 5, and the Agent Client Protocol, it handles orchestration, diff reviews, git branches/worktrees, and PR creation in one controlled space—solving the chaos of bouncing between chat interfaces and terminals for agentic developer ai tasks.

Why is it gaining traction?

Unlike chatty Copilot plugins or agentic github actions, acepe gives full visibility: approve tool calls granularly, snapshot checkpoints, and ship commits/PRs without context loss. Multi-panel layouts, built-in terminals/browsers, and worktree isolation make agentic developer tools feel like disciplined engineering, not experimentation—perfect for agentic developer platform users tired of half-baked outputs.

Who should use this?

Backend devs prototyping with Claude on monorepos, full-stack teams managing agentic developer jobs across Cursor/Codex sessions, or solo agentic developers streamlining workflows from prompt to PR. Ideal if you're evaluating agentic developer kit options for git-heavy projects but need review gates before trusting changes.

Verdict

Promising agentic developer portal for supervised AI coding, but with 13 stars and 1.0% credibility score, it's early alpha—expect rough edges despite strong docs and TypeScript base. Grab the binary if agentic github copilot limits frustrate you; contribute to mature it.

(187 words)

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