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This is the implementation repository of our OSDI '26 paper: Disentangling Graph Dependencies for Efficient Billion-Scale GPU Vector Search.
Generate editable PPT decks from paper PDFs or LaTeX sources
宝藏问题：汇总了大模型的重要资源，整理了宝藏问题手稿，宝藏论文参考文献
A Raycast Extension for looking up words or translating text in an easy way. Support 48+ languages, support Linguee and Youdao dictionary, support OpenAI, DeepL, Google, Bing, Apple, Baidu, Tencent…
Memory Sparse Attention - A scalable, end-to-end trainable latent-memory framework for 100M-token contexts.
SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
Elevate your AI research writing, no more tedious polishing ✨
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
Claude Code skill: Generate file-by-file code tutorial websites for any repository with parallel agent teams
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task b…
分享AI Infra知识&代码练习：PyTorch/vLLM/SGLang框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code, Codex, OpenClaw, Hermes, and more
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集…
⚡ Super fast clustering for high-dimensional vectors on CPUs (x86, ARM) and GPUs — for Python and C++. 100x faster clustering of vector embeddings than FAISS
The paper list of "Memory in the Age of AI Agents: A Survey"
state-of-the-art search over vector embeddings and structured data (SIGMOD '24)
slime is an LLM post-training framework for RL Scaling.
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
Jasper is an approximate nearest neighbors search index built for GPUs. Using the batch-parallel tiling scheme from Manohar et al. and custom-built search kernels, Jasper provides state of the art …
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
一键将 Markdown 和网页 AI 对话（ChatGPT/DeepSeek等）完美粘贴到 Word、WPS 和 Excel 的效率工具 | One-click paste Markdown and AI responses (ChatGPT/DeepSeek) into Word, WPS, and Excel perfectly.
[SIGMOD 2026] DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search.
Roaring bitmaps in C (and C++), with SIMD (AVX2, AVX-512 and NEON) optimizations: used by Apache Doris, ClickHouse, Alibaba Tair, Redpanda, YDB and StarRocks
Probably the fastest coroutine lib in the world!