Python library and SDK that builds a hierarchical tree index of documents so an LLM can reason through it for retrieval, without vector databases or chunking.
MCP server and Unity Editor package that lets AI assistants control scenes, scripts, assets, tests, and builds in Unity.
Open-source SDK for building and running AI agents in Python and TypeScript, with a fully assembled harness and a model-agnostic agent loop.
Java framework for building distributed, long-running agents with an event stream, tool-call permissions, middleware, and sandboxed workspaces.
Optimized GPU and NPU attention kernels from DeepSeek for sparse prefill and FP8/FP4 KV-cache decoding in DeepSeek-V4.1 inference.
Ruby framework for building AI features with a unified API across 23 model providers, tools, agents, and Rails conventions.