Développement
mission-control
Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
★ 6,3 k étoilesMIT
Voir le guide →agentic-ai-prompt-research est un projet de développement open source, créé par Leonxlnx (Leonxlnx/agentic-ai-prompt-research sur GitHub). Il compte 2 551 étoiles sur GitHub et 1 054 forks, il est publié sous la licence Unknown et a été mis à jour pour la dernière fois sur GitHub le 31 mars 2026.
Research into how agentic AI coding assistants work. Reconstructed prompt patterns, agent coordination, and security classification
Package managers, install scripts, or app stores on every OS.
Sane defaults work; dotfiles make it yours.
A weekend of muscle memory pays off for years.
Plugins and themes from huge community ecosystems.
Customize prompts, tools, and behavior; no black box.
Every change is a reviewable diff — you stay in control.
Swap between frontier APIs and local models per task.
Lives where you work: VS Code, JetBrains, Neovim, or plain terminal.
Agentic coding assistants that plan, edit, and run commands.
Themes, plugins, and config for any workflow.
Download the source and move into the project folder.
git clone https://github.com/Leonxlnx/agentic-ai-prompt-research.git
cd agentic-ai-prompt-researchEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Leonxlnx/agentic-ai-prompt-research with 1,054 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Unknown — check the repo for commercial-use terms.
Cloud frontier models code best today; local keeps everything private and free.
It multiplies them — best results come from developers directing and reviewing.
VS Code and terminal are universal; check each tool for JetBrains/Neovim.
Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
Build apps that AI can generate, humans can review, and teams can maintain. Config that works between code and natural language.
AI-Powered, Non-Intrusive Terminal Assistant
A coding-agent harness optimized for smaller local LLMs — small models, serious coding work
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.