openbmb

A tokenizer-free text-to-speech system that generates high-quality multilingual speech with voice cloning and creative voice design capabilities. Supports 30 languages and can create new voices from text descriptions alone or clone existing voices from audio samples.

Pocket-sized multimodal LLM from OpenBMB designed for efficient image and video understanding on phones and edge devices.

OpenBMB's low-code MCP framework for building complex RAG pipelines — drag-and-drop retrieval, rerank, and generation components.

OpenBMB's framework for deploying multiple LLM-based agents across applications — simulation, task solving, and multi-agent collaboration.

OpenBMB's family of ultra-efficient end-side LLMs (MiniCPM 4 and 4.1) that run on phones and edge devices with strong reasoning per parameter.

OpenBMB's open platform for training, serving, and evaluating LLMs for tool learning — over 16K real-world APIs in the training set.

End-to-end infrastructure for training and evaluating LLM agents. Tooling for the full agent lifecycle from data to eval.

OpenBMB's reasoning-augmented vision-language-action model for robotics, combining reinforcement learning with explicit thinking.

Open-source framework for collaborative AI agents. Distributed agents discover each other and team up over an internet-like protocol.

Router for fanning out Claude-style requests across multiple LLM backends — drop-in for Claude Code and other Anthropic-API clients.

General-purpose mobile agent driven by multimodal foundation models for long-horizon tasks on phone apps.

Parsing-free RAG pipeline backed by vision-language models — index PDFs and slides as images instead of text.

Reference iOS/Swift apps showing how to run MiniCPM-V multimodal models on-device — drop-in starting point for vision apps.

Open-source framework for evaluating audio and speech models across recognition, speech-to-text, and speech-to-speech tasks.

LLM-powered agent that explores a repo and auto-generates documentation so teams can onboard faster.

Multi-level memory plugin for OpenClaw that adds long-term context across agent sessions.

Benchmark and evaluation toolkit for retrieval-augmented generation pipelines — measure how well your RAG actually answers questions.

Open-source framework for evaluating foundation models — modular benchmarks for LLM capability assessment (ACL 2024 Demo).