Beginner-to-master roadmap for becoming a modern AI engineer: AI and ML fundamentals, deep learning, LLMs, RAG, agents, model infrastructure, optimization, hardware acceleration, AI security, blockchain, and ZKML.
GitHub repository with 7 stars and 4 forks.
Language: Python
Topics: agentic-ai, ai, ai-applications, ai-engineer, ai-infrastructure, beginner-friendly, blockchain-ai, cuda, deep-learning, hardware-acceleration
Trending score 0.33, activity score 0.04, stars gained +1, forks gained +0.
2026-06-05: 7 stars and 4 forks.
Hindsight: Agent Memory That Learns
GitHub repository with 15,764 stars and 898 forks.
Trending score: 4.22; stars gained: +129; forks gained: +10.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
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
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
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
GitHub repository with 32,625 stars and 2,827 forks.
Trending score: 1.90; stars gained: +102; forks gained: +12.
Language: Python
Topics: agentic-ai, agents, ai, ai-agents, context-engineering, llm
🔍 The hardest search benchmark in the wild — vague, multi-turn, proactive. 200 long-horizon tasks with persona-driven progressive disclosure, scored by verifiable schema-free knowledge-graph evaluation. No vibes, just triplet F1.
GitHub repository with 780 stars and 9 forks.
Trending score: 1.88; stars gained: +102; forks gained: +0.
Language: Python
Topics: agentic-ai, benchmark, llm, proactive-agent, search, search-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 280 stars and 10 forks.
Trending score: 1.84; stars gained: +75; forks gained: +4.
Language: Python
Topics: agentic-ai, kv-cache, llm, llm-inference, long-context, quantization
The agent that grows with you
GitHub repository with 182,690 stars and 31,320 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,643 stars and 2,276 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
Learn it. Build it. Ship it for others.
GitHub repository with 28,771 stars and 4,705 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,435 stars and 28,046 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, collections, python, python-frameworks, python-libraries, python-tools
Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported)
GitHub repository with 32,540 stars and 4,942 forks.
Trending score: 4.56; stars gained: +467; forks gained: +82.
Language: Python
The agent engineering platform.
GitHub repository with 138,601 stars and 22,962 forks.
Trending score: 4.53; stars gained: +171; forks gained: +31.
Language: Python
Topics: ai, anthropic, gemini, langchain, llm, openai
🌊 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 15,764 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 32,528 stars and 4,183 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