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Starred repositories
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnot…
A simple memory system for claude code
Deepagents is an agent harness built on langchain and langgraph. Deep agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped …
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Newsletter to help busy software engineers become good at system design 👇
Python version of the Playwright testing and automation library.
RAG that intelligently adapts to your use case, data, and queries
Fast and flexible memory for agents and AI applications using Redis
Intelligent Router for Mixture-of-Models
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Breakthrough Method for Agile Ai Driven Development
Building Applications with AI Agents
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
An open-source, no-code agent building platform.
Adding guardrails to large language models.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
Achieve state of the art inference performance with modern accelerators on Kubernetes
Build Real-Time Knowledge Graphs for AI Agents
Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.
⏩ Ship faster with Continuous AI. Open-source CLI that can be used in TUI mode as a coding agent or Headless mode to run background agents
Model implementation for the contextual embeddings project