# Edge0-AI/Edge0 > An open-source streaming MoE inference framework: expert weights are offloaded from SSD on demand while a trained prerouter predicts routing ahead of time. Runs on Apple Silicon via MLX and ships with two ready-to-run model tiers (35B and 8B). - Magnitude: 4.2 out of 10 — Steady - Stars: 7,549 total · +101 stars measured 2026-10-29, 00:05–04:59 UTC, ≈ 322 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-09-08 · Last push: 2026-10-29 - GitHub: https://github.com/Edge0-AI/Edge0 · Page: https://gitnova.dev/en/r/Edge0-AI/Edge0 ## Useful for - Run a 35B MoE model on a Mac with 16 GB RAM without loading all experts into memory - Serve an OpenAI-compatible /v1/chat/completions endpoint via edge0 serve - Plug in a custom backend (e.g. CUDA) through the edge0/backends/base.py facade ## Why it’s here - Star-counter measurements on 2026-10-29 (UTC), 00:05–04:59: 7448 → 7549 stars (+101). This is the change over that interval. - Estimated end-of-day forecast: about +322 stars, using observed gains and the previous day. - The repository is 51 days old and already has 7,549 stars. - Top new repositories in the last 4 months: #89. - About 84 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 1,250 - Issues and pull requests: 81 - Watchers: 596 - Average over the last week: 241 per day - Usual pace: 168 per day - Stars in the last hour (measured): 21 - Latest release: v0.1.0 (2026-10-21) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-30 … 2026-10-29: 16, 141, 217, 239, 219, 192, 218, 221, 90, 154, 206, 202, 65, 88, 214, 165, 197, 163, 156, 223, 183, 252, 247, 240, 220, 156, 301, 218, 231, 101 ## Magnitude by day, last 14 days 10-12 4.4, 10-13 3.1, 10-14 4.2, 10-15 4.4, 10-16 4.4, 10-17 4.2, 10-22 3.5, 10-23 4.5, 10-24 4.5, 10-25 4.4, 10-26 4.5, 10-27 4.5, 10-28 4.2, 10-29 4.2 ## Spotted in now - Top new repositories in the last 4 months: #89 ## Similar by description 1. **mnfst/awesome-free-llm-apis** — 3.2 · Steady · Language models · JavaScript · +15 stars measured 2026-10-29, 00:05–05:00 UTC, ≈ 92 by evening A list of LLM APIs with permanent free tiers: model providers and inference platforms with rate limits, models and links to get API keys. Aimed at developers who need free LLM access for prototypes and agents. Full card: https://gitnova.dev/en/r/mnfst/awesome-free-llm-apis.md 2. **mostlygeek/llama-swap** — 1.8 · Steady · Language models · Go · +2 stars measured 2026-10-29, 00:10–05:04 UTC, ≈ 13 by evening A Go proxy server that runs multiple local models and hot-swaps between them on demand, compatible with OpenAI and Anthropic APIs. Works with llama.cpp, vllm, stable-diffusion.cpp and other backends. Full card: https://gitnova.dev/en/r/mostlygeek/llama-swap.md 3. **ValerioDolci/capy-flash** — 0.8 · Steady · Language models · C++ · +0 stars measured 2026-10-29, 00:11–05:09 UTC, ≈ 2 by evening A C++ inference engine that runs the large Qwen3.8-Flash-Next MoE model (125B) in NVFP4 on two 16 GB consumer GPUs: routed experts are offloaded to host RAM and computed on the CPU, the rest runs tensor-parallel. It also serves the dense… Full card: https://gitnova.dev/en/r/ValerioDolci/capy-flash.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-29 05:11 UTC, updated every 30 minutes.