Entwickler-Tools
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 Tsd. SterneMIT
Anleitung ansehen →agentic-ai-prompt-research ist ein Open-Source-Projekt aus der Kategorie Entwickler-Tools von Leonxlnx (Leonxlnx/agentic-ai-prompt-research auf GitHub). Es hat 2.551 Sterne auf GitHub und 1.054 Forks, wird unter der Lizenz Unknown veröffentlicht und wurde zuletzt am 31. März 2026 auf GitHub aktualisiert.
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
Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent
Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this re…
Die anderen Projekte der Kategorie Entwickler-Tools mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls agentic-ai-prompt-research nicht das Richtige ist.
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
Verwandte Projekte der Kategorie Entwickler-Tools im Katalog, die agentic-ai-prompt-research bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
A coding-agent harness optimized for smaller local LLMs — small models, serious coding work
开源 AI 短剧/漫剧创作 skill 合集：剧本、角色资产、分镜 storyboard、图片/视频提示词、审查，适配 Claude Code 与 Codex | Open-source AI short drama / micro-drama skills for Claude Code & Codex: sc…
Claude Code skill: four-phase plan hardening (recon, interrogate, Codex adversarial review, cross-model build & inspection) — two AI models harden your plan …
The ripgrep of AI context — a zero-dependency C++23 CLI + MCP server that maps your repo for coding agents
Symbol-level code retrieval MCP server (tree-sitter AST) built to slash agent token costs on exploration
Turn any MCP server, OpenAPI spec or GraphQL endpoint into a CLI — at runtime, with zero codegen
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.