heretic
Fully automatic censorship removal for language models
Models & inference scores 72/100 on the Stars Radar (#4), with 21 starred repositories and 447.9k GitHub stars.
No repository was starred in this market over the last 7 days.
Fully automatic censorship removal for language models
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and…
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Official inference framework for 1-bit LLMs
High-speed Large Language Model Serving for Local Deployment
Port of OpenAI's Whisper model in C/C++
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
High-Quality Voice Cloning TTS for 600+ Languages
A fast multimodal LLM for real-time voice
Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
OpenAI Whisper-compatible ASR server using NVIDIA Parakeet TDT 0.6B (ONNX). Super fast CPU/GPU transcriptions
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as…
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
An open-source database of AI models.
A Conversational Speech Generation Model
Open source inference engine optimized for consumer hardware. Profiles your machine, recommends the best models for it, then downloads, tunes, and runs them.…
Open-Source Frontier Voice AI
One local endpoint. The right model for every turn — enforced in code, not prompts.
Machine learning library for building consensus-style equilibrium world models that continuously learn from experience.
21 repositories with 447.9k GitHub stars in total; 0 starred in the last 7 days. Market score: 72/100 (#4 of 10).
heretic, Edge0, litellm, Sana, BitNet. Updated 2026-11-06 12:45 UTC.
50% the number of starred repositories in the market, 30% their GitHub stars, 20% how many were starred in the last 7 days. See methodology.
Every repository Agentik OS stars on GitHub is read and classified by AGK Intelligence: what it is, which market it belongs to, how useful and how mature. 314 repositories, 10 markets. The stars are read every 5 minutes — last update 2026-11-06 12:45 UTC. Full method.