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Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
🚀 The fast, Pythonic way to build MCP servers and clients
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Build Real-Time Knowledge Graphs for AI Agents
Claude Code skill implementing Manus-style persistent markdown planning — the workflow pattern behind the $2B acquisition.
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
Open-source vector similarity search for Postgres
SonicBOOM: The Berkeley Out-of-Order Machine
Benchmarking Chat Assistants on Long-Term Interactive Memory (ICLR 2025)
The official Python SDK for Model Context Protocol servers and clients
Build resilient language agents as graphs.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Build memory-native AI agents with Memory OS — an open-source framework for long-term memory, retrieval, and adaptive learning in large language models. Agent Memory | Memory System | Memory Manage…
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Local-first AI Notepad for Private Meetings
Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.
Personalized Deep Research - An intelligent agent that synthesizes large amounts of online data and completes complex research tasks, customized to your unique preferences and insights
torchcomms: a modern PyTorch communications API
TPU inference for vLLM, with unified JAX and PyTorch support.