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: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.
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
FauxPilot - an open-source alternative to GitHub Copilot server
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
- mupdf
- xps
- pdf-documents
- epub
Run LLMs with MLX
- llms
- mlx
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
This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.
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
Optimizing inference proxy for LLMs
- agent
- agentic-ai
- agentic-workflow
- agents
Implementation and experiments of graph embedding algorithms.
- deepwalk
- node2vec
- line
- sdne
Evaluation and Tracking for LLM Experiments and AI Agents
- machine-learning
- neural-networks
- explainable-ml
- llmops
This is an extension based on sd-webui, aimed at improving the user experience of the prompt/negative prompt input box. It has a more intuitive and powerful input interface function, and provides automatic translation, history record, and bookmarking functions. 这是一个基于 sd-webui 的扩展，旨在提高提示词/反向提示词输入框的使用体验。它拥有更直观、强大的输入界面功能，它提供了自动翻译、历史记录和收藏等功能。
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
Unleash Next-Level AI! 🚀 💻 Code Generation: DeepSeek r1 + Claude 3.7 Sonnet - Unparalleled Performance! 📝 Content Creation: DeepSeek r1 + Gemini 2.5 Pro - Superior Quality! 🔌 OpenAI-Compatible. 🌊 Streaming & Non-Streaming Support. ✨ Experience the Future of AI – Today! Click to Try Now! ✨
The open-source ontology runtime for AI agents.
- open-source
- ontology
- rdf
- knowledge-graph
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
- machine-learning
- experimentation
- llm-prompting
- llm-test
拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construction and search. Combine DeepSearch for private RAG reasoning. Create a custom evaluation framework for GraphRAG.
- deepresearch
- deepsearch
- evaluation
- graphrag
Run Mixtral-8x7B models in Colab or consumer desktops
- colab-notebook
- deep-learning
- google-colab
- language-model
Your Automatic Prompt Engineering Assistant for GenAI Applications