coding-agent

14 projets partagent ce topic GitHub

coding-agent — openinterpreter ★66.9kcoding-agentrllm — ★5.7kagents-cli — ★5.2kvibesdk — ★5.2kCoreCoder — ★1.5kiPolloWork — ★1.5kdao-code — ★1.4kpi-mcp-adapter — ★1kWhale — ★917how-to-vibecoding — ★850Open-AgentRL — ★585talkcody — ★461ai4j — ★421crew44 — ★358rllm★ 5.7kagents-cli★ 5.2kvibesdk★ 5.2kCoreCoder★ 1.5kiPolloWork★ 1.5kdao-code★ 1.4kpi-mcp-adapter★ 1kWhale★ 917how-to-vibecoding★ 850Open-AgentRL★ 585talkcody★ 461ai4j★ 421crew44★ 358

Les traits relient les membres réellement apparentés entre eux. La taille des points suit les étoiles.

🧬 Membres
openinterpreter
A coding agent for open models like Kimi K3
★ 66.9k
rllm
Democratizing Reinforcement Learning for LLMs
★ 5.7k
agents-cli
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI…
★ 5.2k
vibesdk
An open-source vibe coding platform that helps you build your own vibe-coding platform, built entirely on…
★ 5.2k
CoreCoder
Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT…
★ 1.5k
iPolloWork
A source-available, local-first alternative to Codex and Claude Code: an AI workspace for code, files, docs,…
★ 1.5k
dao-code
Open-source TypeScript terminal coding agent for DeepSeek-V4 — builds on DeepSeek's strong…
★ 1.4k
pi-mcp-adapter
Token-efficient MCP adapter for Pi coding agent
★ 1k
Whale
Whale — blazingly fast, terminal-first AI coding agent for DeepSeek. ~98% prompt cache hit rate, 1M…
★ 917
how-to-vibecoding
Vibecoding 系列教程:从环境搭建到多智能体协作,涵盖 MCP、Skills、Agent 分工治理
★ 850
Open-AgentRL
RLAnything (ICML 2026) & AutoTool (ICML 2026), DemyAgent: Open-Source RL for LLMs and Agentic Scenarios
★ 585
talkcody
TalkCody - Code is cheap, show me your talk. 🚀 Free Open Source AI Coding Agent.
★ 461
ai4j
一款JavaSDK用于快速接入AI大模型应用,整合多平台大模型,如OpenAi、智谱Zhipu(ChatGLM)…
★ 421
crew44
Orchestrate a crew of specialist AI agents in one local-first workspace. Each role on its best model, with…
★ 358
🔗 Familles voisines

Mesuré à partir des topics GitHub communs aux deux projets, pondérés par leur rareté.