Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
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.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
Open GenAI Stack
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
ZenML π: One AI Platform from Pipelines to Agents. https://zenml.io.
Langchain + Docker + Neo4j + Ollama
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
Optimizing inference proxy for LLMs
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.
GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.
[GenAI Application Development Framework] π Build GenAI application quick and easy π¬ Easy to interact with GenAI agent in code using structure data and chained-calls syntax π§© Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic π Switch to any model without rewrite application code
The backend agents build with - Multimodal database, orchestration, and serving in one file
Build AI agents for your PC
A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data
A set of tools that gives agents powerful capabilities.
Neo4j GraphRAG for Python
Neural Network Compression Framework for enhanced OpenVINOβ’ inference
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
Build fast and accurate GenAI apps with GraphRAG SDK at scale π
Agent samples built using the Strands Agents SDK.
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.
Inference engine for Intel devices. Serve LLMs, VLMs, Whisper, Kokoro-TTS, Embedding and Rerank models over OpenAI endpoints.
SDK libraries for Modal
An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context.
Talk to Mira, a late-night radio DJ you can interrupt. A live voice agent built on the Gemini Live API with the raw google-genai SDK β no framework.
Reconstructing Big Tech T2I/T2V captioning pipelines for production and research
Lightweight AI red teaming harness for authorized agent / GenAI challenges (BCTF Agent Plusβstyle): schedule, bounded recon, validate, digest.