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codeaholicguy

ai-devkit

The control plane for AI coding agents.

1,587 stars243 forksTypeScriptLicense varies
DEEP OPEN-SOURCE ANALYSIS

ai-devkit: The control plane for AI coding agents.

The control plane for AI coding agents.

What the project is

ai-devkit is a TypeScript project hosted on GitHub. The control plane for AI coding agents. AI DevKit gives Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, GitHub Copilot, Devin, and other coding agents one local-first operating layer: one config, one console, local memory retrieval, cross-agent communication, and composable engineering skills led by dev-lifecycle. The repository is maintained by codeaholicguy and tracks activity through its public issue tracker and commit history. Readers who want a working example rather than a bare library will find the documentation and the linked resources useful for getting a first build running.

What it offers

The ai-devkit repository documents several concrete capabilities that shape how people use it. One config for every agent . .ai-devkit.json reconciles setup across the coding tools your team uses One console for running sessions . agent console is a live TUI dashboard for supervising local agents across providers Cross-agent communication . agent send lets you route prompts, logs, and test output to running agents Memory retrieval without context bloat . @ai-devkit/memory stores decisions, conventions, and fixes in local SQLite so agents search when needed instead of carrying everything in every prompt Composable engineering skills . dev-lifecycle, verify, tdd, review, debugging, security, docs, and simplification skills combine into reliable workflows These points are taken from the project README, so they reflect what the maintainers actually ship rather than marketing claims. Checking the file list and the example directories gives a fuller picture of how each piece fits together.

How to set it up

Getting ai-devkit running starts with cloning the source from https://github.com/codeaholicguy/ai-devkit. The README lists the commands needed to fetch the code and build or launch it. Representative steps from the documentation include: npx ai-devkit@latest init npm test 2>&1 | ai-devkit agent send --id <agent-name> --stdin git clone https://github.com/Codeaholicguy/ai-devkit.git. After the code is on disk, the project instructions walk through configuration and any dependencies. Following the order shown in the README avoids the common setup mistakes that come from mixing steps.

License and project status

ai-devkit is written primarily in TypeScript and is released under the an unstated license license, which sets the terms for reuse and redistribution. The project reports around 1587 stars on GitHub, a signal of how many developers have bookmarked it. The source was last updated on 2026-08-21. The canonical location is https://github.com/codeaholicguy/ai-devkit, where the license file, the changelog and the open issues give the most current state of the work. Anyone planning to depend on it should read the license text directly before shipping it inside another product.

Editorial conclusion

The ai-devkit source lives at https://github.com/codeaholicguy/ai-devkit under the an unstated license license and is mainly written in TypeScript. The README and the linked examples remain the place to confirm the current behaviour before adopting the project.

DEEP OPEN-SOURCE ANALYSIS

Official sources

Community notes

Community notes