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🔥 GitHub Trends

Issue #12 · Thursday, February 12, 2026

📊 Today's Trend Analysis

Agentic tooling stays on top: infra (Personal_AI_Infrastructure), tooling for agents (Chrome DevTools MCP), and workflow automation (gh-aw) are all trending together. The pattern is clear—teams are standardizing how agents access tools (MCP), observe browser/devtools, and ship reliable pipelines, while "local-first" coworker apps keep gaining momentum.

🤖 AI & Agents

Agentic AI Infrastructure for magnifying HUMAN capabilities.

从“工具集”升级到“基础设施”思路:把 agent、记忆、工作流当作长期资产来搭建。
TypeScript ⭐ 7,315 +503 today

Chrome DevTools for coding agents

把 DevTools 能力用 MCP “模块化”给 agent:调试、性能、网络分析一条龙。
TypeScript ⭐ 24,261 +436 today

Open-source AI coworker, with memory

“带记忆的同事”成为标配:长期协作型 AI 的竞争点开始从模型转向产品形态。
TypeScript ⭐ 4,971 +199 today

GitHub Agentic Workflows

把 agent 融进 CI/CD:更像“可审计的自动化同事”,而不是一次性的脚本。
Go ⭐ 1,948 +419 today

🧠 LLM Tooling & Resources

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

“结构化抽取 + 可追溯 grounding”是企业落地最常见的 LLM 需求之一,这类库会越来越受欢迎。
Python ⭐ 31,042 +1,201 today

Free, local, open-source 24/7 Cowork and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

把多家 coding agent 入口统一在一个“本地 cowork”里:体验和数据都更可控。
TypeScript ⭐ 15,210 +257 today

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

“awesome 列表”依然是找项目灵感的捷径:尤其适合快速扫 RAG/Agents 的实现范式。
Python ⭐ 94,213 +274 today

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.

“更快、更省显存”的训练工具永远有市场:尤其在本地/私有化微调需求回潮时。
Python ⭐ 51,971 +84 today

🛠️ Productivity

Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows

经典工具持续进化:越是“每天都用”的小功能,越能积累口碑与 stars。
C# ⭐ 129,577 +315 today

💬 Quote of the Day

"The best tooling disappears into your workflow—until the day you try to work without it."

— A reminder for anyone building agent infrastructure