Sign in

Repository Index

59,132 visible repositories in the index

Tags: All Tags
Tags

A repository shows when it has any selected Tag.

Filters (1)

Filters

Clear all filters

25–48 of 372 · Most stars

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

The premier source of truth powering network automation. Open source under Apache 2. Try NetBox Cloud free: https://netboxlabs.com/products/free-netbox-cloud/

  • dcim
  • ipam
  • netbox
  • network-automation

TranslatedA multi-task real-time/scheduled monitoring and intelligent analysis system for Xianyu (闲鱼), built with Playwright and AI, and equipped with a full-featured back-end management UI. It helps users find the products they like among the vast number of items on Xianyu.

Devika is the first open-source implementation of an Agentic Software Engineer. Initially started as an open-source alternative to Devin.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  • machine-translation
  • speaker-recognition
  • asr
  • tts

An open source platform for Python in the browser. https://pyscript.net Docs: https://docs.pyscript.net/ Try it: https://pyscript.com/ Community: https://discord.gg/HxvBtukrg2

Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.

  • ai
  • real-time
  • voice
  • voice-assistant

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

  • agentneo
  • agents
  • ai-performance-optimization
  • llm-testing

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.