Herramientas de desarrollo
deepseek-cli
A command-line AI coding assistant powered by DeepSeek Coder models.
★ 319 estrellasMIT
Ver la guía →little-coder es un proyecto de herramientas de desarrollo de código abierto de itayinbarr (itayinbarr/little-coder en GitHub). Tiene 2.655 estrellas en GitHub y 183 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 18 de septiembre de 2026.
A coding-agent harness optimized for smaller local LLMs — small models, serious coding work
Decide your model: a local llama.cpp/Ollama/LM Studio server for privacy and cost, or a cloud model through the same harness.
Install with the one-line script or npm — no clone or workspace install needed.
If local, start your model server (the README gives full llama.cpp, Ollama and LM Studio recipes) and set the provider's API-key env var (local servers ignore the value but need one present).
cd into your project, run little-coder, and give it a task — or start in plan mode (ctrl+q) for bigger work.
Extensions and skills are designed around scaffold–model fit, keeping cold-start context around 7k tokens so smaller models stay effective.
Research with sub-coders, 1–3 clarifying questions with suggested answers, an approved plan saved to .pi/approved-plan.md, then /implement starts a fresh session seeded with the plan.
f2 / /deep-research fans out read-only research sub-coders and returns one cited markdown report.
Isolated read-only child sessions research without cluttering the main context; long commands run as background jobs that wake the model on events.
Plan on a big model and implement on a small one with /plan-model and /action-model; sessions are named, resumable, and edits require reading the file first.
pi stays a plain dependency — no fork — and everything little-coder-specific lives under .pi/extensions, skills and benchmarks.
Clone little-coder only if you want to hack on it; installation is step 2.
git clone https://github.com/itayinbarr/little-coder.git
cd little-coderUse the one-line installer (Node.js 22.19+) or npm, as the README shows.
curl -fsSL https://raw.githubusercontent.com/itayinbarr/little-coder/main/install.sh | bash
# or: npm install -g little-coderStart your local model server first if using one, then run little-coder in the project directory.
cd ~/your-project
little-coder
# or name a model: little-coder --model llamacpp/qwen3.6-35b-a3bitayinbarr maintains it, building on the open pi agent substrate (pi.dev).
Yes, Apache-2.0 licensed. Local models are free to run; cloud models use your own provider keys.
No — its canonical setup is fully local (llama.cpp/Ollama/LM Studio). Local providers still need a dummy API-key env value set, as the README explains.
Those assume a frontier model. little-coder's whole design — small context, skill cards, plan/implement split — exists to make much smaller local models reliable at coding tasks.
Run the one-line install, serve a model with llama.cpp or Ollama, cd into a project and run little-coder.
A command-line AI coding assistant powered by DeepSeek Coder models.
Research into how agentic AI coding assistants work. Reconstructed prompt patterns, agent coordination, and security classification
A terminal coding agent built for DeepSeek models — reliable, cache-aware and cheap to run
A high-performance coding agent harness in Rust - fast TUI, swarms and every provider
Open-source AI coding assistant for VS Code. Code completion, chat, edits and reviews with local or hosted models. Your models, your infrastructure.
Alibaba's open-source terminal coding agent for Qwen models — a Gemini CLI-style workflow, free to run
Los demás proyectos de Herramientas de desarrollo con más estrellas del catálogo de LibreAI: la lista realista de alternativas si little-coder no es lo que buscas.
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
Proyectos de Herramientas de desarrollo cercanos en el catálogo, los más próximos en estrellas a little-coder: sigue explorando a ambos lados.
Claude Code skill: four-phase plan hardening (recon, interrogate, Codex adversarial review, cross-model build & inspection) — two AI models harden your plan …
Research into how agentic AI coding assistants work. Reconstructed prompt patterns, agent coordination, and security classification
Symbol-level code retrieval MCP server (tree-sitter AST) built to slash agent token costs on exploration
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…
Lightweight AST-based semantic code search CLI (ccc) that makes coding agents faster and cheaper
The ripgrep of AI context — a zero-dependency C++23 CLI + MCP server that maps your repo for coding agents
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.