Repository Index

Run frontier AI locally.

:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

• analytics
• python
• react
• javascript

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

• semantic-search
• information-retrieval
• ai
• python

A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

Experiential is the open source, zero markup gateway for BYOK, self-hosted and 1000+ marketplace models. It learns from your traffic to cut costs, recommend better models, and train a specialized model you own.

Nano vLLM

• inference
• llm
• pytorch
• transformer

Run LLMs with MLX

• llms
• mlx

This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.

TranslatedOpen-source manuscript of 《深入理解 AI Infra：量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments

• accelerator
• ai-infra
• ai-infrastructure
• book

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

• adk
• agent-development-kit
• agents
• coding-agent

Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding, experiments, writing, and publication.

• academic-research
• ai-agents
• claude
• claude-code

Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results

• interpretability
• mechanistic-interpretability
• qwen
• steering

Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights'

🐋 Run 284B DeepSeek-V4-Flash (<59GiB RAM, 44.4 tok/s pp, 9.1-14.7 tok/s) & 30B MoEs (25-111 tok/s) on a pure 64GB CPU at 256K ctx (0 GPUs). SwiGLU-H2, Stockfish-PVS L3 & 13ms Claude Code restore.

• avx512
• cpu-inference
• hpc
• llama-cpp

A code repository indexing tool to supercharge your LLM experience.

• neovim-plugin
• retrieval-augmented
• embeddings
• rag

AI drew your research figure. Tavotto makes it publication-ready: edit matplotlib and AI-generated figures on a canvas, lay out multi-panel pages in mm, check journal rules before export. Scripts stay untouched.

• academic-publishing
• ai-tools
• claude-code
• codex

Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)

• ai-text-detection
• explainable-ai
• interpretability
• mechanistic-interpretability

🧱 Experimental library for building inference engines

• inference
• llm
• cuda
• gpt-oss

UCE is a zero-shot foundation model for single-cell gene expression data

Can AI agents rebuild websites through browser exploration?

• benchmark
• harbor
• website-reconstruction
• agent-evaluation