企業 GenAI 轉型成熟度診斷與導入方法論工具包 — L1-L5 成熟度模型 + 八階段顧問結構。Enterprise GenAI transformation maturity assessment & implementation methodology toolkit (L1-L5 + eight-stage consulting). Apache 2.0.
GitHub repository with 12 stars and 7 forks.
Language: TeX
Topics: agentic-ai, ai-agents, ai-consulting, ai-governance, ai-transformation, bilingual, claude-code, consulting-toolkit, enterprise-ai, llm
Trending score 0.28, activity score 0.00, stars gained +1, forks gained +0.
2026-06-05: 12 stars and 7 forks.
企業 GenAI 轉型成熟度診斷與導入方法論工具包 — L1-L5 成熟度模型 + 八階段顧問結構。Enterprise GenAI transformation maturity assessment & implementation methodology toolkit (L1-L5 + eight-stage consulting). Apache 2.0.
GitHub repository with 12 stars and 7 forks.
Trending score: 0.28; stars gained: +1; forks gained: +0.
Language: TeX
Topics: agentic-ai, ai-agents, ai-consulting, ai-governance, ai-transformation, bilingual
Lifecycle-Aware Memory for long-horizon LLM agents — 66.05% on PaperBench, 94.66% on SurveyBench, 10 peer-reviewed acceptances at FSE/ICML/TOSEM/AEI/ICoGB
GitHub repository with 629 stars and 97 forks.
Trending score: 1.32; stars gained: +24; forks gained: +6.
Language: TeX
a skill for rebuttal
GitHub repository with 189 stars and 5 forks.
Trending score: 1.31; stars gained: +23; forks gained: +1.
Language: TeX
锻造你的知识体系 | 考研·考公·专业课·科研·项目·竞赛通用笔记模板。LaTeX+Typst+Markdown三版本，7步模块化结构，6种场景模板，一键换色，开箱即用。
GitHub repository with 387 stars and 13 forks.
Trending score: 1.07; stars gained: +13; forks gained: +1.
Language: TeX
Topics: latex-template, note-taking, novaforge, study-notes, template
GitHub repository with 65 stars and 5 forks.
Trending score: 1.02; stars gained: +10; forks gained: +1.
Language: TeX
Latex template for ACM conference/Journal rebuttal.
GitHub repository with 86 stars and 5 forks.
Trending score: 0.91; stars gained: +8; forks gained: +0.
Language: TeX
RISC-V Instruction Set Manual
GitHub repository with 4,655 stars and 835 forks.
Trending score: 0.76; stars gained: +5; forks gained: -1.
Language: TeX
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
GitHub repository with 58,019 stars and 6,638 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: claude-code, swarm, agentic-ai, agentic-framework, agentic-rag, agentic-workflow
Hindsight: Agent Memory That Learns
GitHub repository with 15,766 stars and 898 forks.
Trending score: 4.22; stars gained: +129; forks gained: +10.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
GitHub repository with 32,539 stars and 4,185 forks.
Trending score: 3.74; stars gained: +259; forks gained: +31.
Language: TypeScript
Topics: agent, agent-native, agentic-ai, agents, ai, ai-agent
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
GitHub repository with 11,062 stars and 1,847 forks.
Trending score: 3.21; stars gained: +75; forks gained: +13.
Language: Python
Topics: agent-framework, agentic-ai, agents, ai, dotnet, multi-agent
Code Editor for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine
GitHub repository with 11,578 stars and 981 forks.
Trending score: 2.80; stars gained: +37; forks gained: +11.
Language: TypeScript
Topics: agentic-ai, ai-agents, claude-code, cli, codex, coding-agents
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
GitHub repository with 2,003 stars and 141 forks.
Trending score: 2.48; stars gained: +24; forks gained: +2.
Language: Python
Topics: agentic-ai, agentic-workflow, agents, function-calling, llama-cpp, llamafile