An agentic skills framework & software development methodology that works.

Awesome List for On-Policy Distillation

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works…

Elevate your AI research writing, no more tedious polishing ✨

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…

Your Data, Your Memory, Your Personalized Agent: A Framework template for a personalized AI agent system: self-evolving L1-L6 memory + Karpathy-style LLM Wiki. Clone and make it yours.

My learning notes for ML SYS.

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…

AI agents running research on single-GPU nanochat training automatically

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

slime is an LLM post-training framework for RL Scaling.

SGLang model provider for Strands Agents for on-policy agentic RL training.

slime is an LLM post-training framework for RL Scaling.

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

The official repo of the paper "MMLongBench Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly"

GLM-4.6V/4.5V/4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL

Crack LeetCode, not only how, but also why.

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

LLM-KG4QA: Large Language Models and Knowledge Graphs for Question Answering

[ICML 2026] Official resources of "Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning".

Synthetic data generation for evaluating LLM symbolic and logic reasoning

From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓

The code and data for "StructGPT: A general framework for Large Language Model to Reason on Structured Data"

Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI'16)

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.