Hands-on labs for Microsoft Foundry - Azure's unified PaaS for enterprise AI. Notebooks + Bicep covering provisioning, agents (incl. hosted Copilot SDK + REST), MCP, Foundry IQ knowledge bases, guardrails, red-teaming, and fine-tuning.
GitHub repository with 17 stars and 7 forks.
Language: Jupyter Notebook
Topics: agentic-ai, ai-agents, awesome-list, azure, azure-ai-foundry, bicep, copilot-sdk, fine-tuning, foundry-iq, github-copilot
Trending score 0.33, activity score 0.04, stars gained +1, forks gained +0.
2026-06-04: 17 stars and 7 forks.
Multi-agent systems, memory, planning, reasoning loops
GitHub repository with 2,670 stars and 585 forks.
Trending score: 1.01; stars gained: +10; forks gained: +0.
Language: Jupyter Notebook
Topics: agent-skills, agentic-ai, agentic-ai-development, agentic-coding, agentic-engineering, agentic-framework
Hands-on labs for Microsoft Foundry - Azure's unified PaaS for enterprise AI. Notebooks + Bicep covering provisioning, agents (incl. hosted Copilot SDK + REST), MCP, Foundry IQ knowledge bases, guardrails, red-teaming, and fine-tuning.
GitHub repository with 17 stars and 7 forks.
Trending score: 0.33; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: agentic-ai, ai-agents, awesome-list, azure, azure-ai-foundry, bicep
This is a repository for the course "From Beginner to LLM Developer" by Towards AI.
GitHub repository with 236 stars and 67 forks.
Trending score: 0.30; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: agent, agentic, agentic-ai, agents, ai, langchain
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
GitHub repository with 77 stars and 35 forks.
Trending score: 0.07; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: agentic-ai, agentic-rag, autogen, docker, langchain, langgraph
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
GitHub repository with 242 stars and 85 forks.
Trending score: 0.05.
Language: Jupyter Notebook
Topics: context-engineering, gpt-5-api, mcp, multi-agent-systems, pinecone, rag
HEX is a whole-body vision-language-action framework for full-sized humanoid robots.
GitHub repository with 494 stars and 18 forks.
Trending score: 1.96; stars gained: +120; forks gained: +3.
Language: Jupyter Notebook
Topics: cross-embodiment, embodied-ai, humanoid-robotics, imitation-learning, multimodal-ai, vision-language-action-model
GitHub repository with 2,680 stars and 331 forks.
Trending score: 1.72; stars gained: +48; forks gained: +12.
Language: Jupyter Notebook
Resources for the ICRA2026 Keynote Tutorial "Title: Building, running and deploying modern software tools for robotics"
GitHub repository with 52 stars and 3 forks.
Trending score: 1.53; stars gained: +29; forks gained: +2.
Language: Jupyter Notebook
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
GitHub repository with 41,902 stars and 8,303 forks.
Trending score: 1.49; stars gained: +23; forks gained: +3.
Language: Jupyter Notebook
Topics: course, data-engineering, dbt, docker, free, kafka
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
GitHub repository with 1,243 stars and 264 forks.
Trending score: 1.40; stars gained: +22; forks gained: +3.
Language: Jupyter Notebook
Topics: ai, fine-tuning, model-training, nemotron, nvidia, reinforcement-learning
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
GitHub repository with 481 stars and 67 forks.
Trending score: 1.34; stars gained: +24; forks gained: +2.
Language: Jupyter Notebook
Topics: agent-memory, ai-agents, anthropic, episodic-memory, generative-ai, graphiti
🌊 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 57,860 stars and 6,612 forks.
Trending score: 4.25; stars gained: +221; forks gained: +39.
Language: TypeScript
Topics: claude-code, swarm, agentic-ai, agentic-framework, agentic-rag, agentic-workflow
Production-ready platform for agentic workflow development.
GitHub repository with 143,870 stars and 22,638 forks.
Trending score: 3.73; stars gained: +125; forks gained: +19.
Language: TypeScript
Topics: agent, agentic-ai, agentic-framework, agentic-workflow, ai, automation
Hindsight: Agent Memory That Learns
GitHub repository with 15,664 stars and 887 forks.
Trending score: 3.63; stars gained: +129; forks gained: +5.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
为 DeepSeek 网页版注入类原生工具调用、MCP/Shell 工具、长期记忆、Skill、Agent式持续执行和定时自动化任务
GitHub repository with 492 stars and 54 forks.
Trending score: 2.65; stars gained: +18; forks gained: +4.
Language: TypeScript
Topics: ai-memory, chrome-extension, deepseek, react, typescript, wxt
The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
GitHub repository with 32,153 stars and 4,149 forks.
Trending score: 2.41; stars gained: +20; forks gained: -4.
Language: TypeScript
Topics: agent, agent-native, agentic-ai, agents, ai, ai-agent
KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.
GitHub repository with 150 stars and 4 forks.
Trending score: 2.29; stars gained: +104; forks gained: +4.
Language: Python
Topics: agentic-ai, kv-cache, llm, llm-inference, long-context, quantization