# recursive-oss/rec > A local inference engine for Recursive's language models, optimized for Apple Silicon and faster than llama.cpp. It runs the model on your machine and exposes an OpenAI-compatible API for clients. - Magnitude: 5.2 out of 10 — Early signal - Stars: 134 total · +9 stars measured 2026-10-23, 00:37–03:24 UTC, ≈ 62 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-10-21 · Last push: 2026-10-22 - GitHub: https://github.com/recursive-oss/rec · Homepage: https://docs.recursive.com/ · Page: https://gitnova.dev/en/r/recursive-oss/rec ## Useful for - Run the model locally and connect it to the pi or OpenCode harness - Send a request to the model via the OpenAI-compatible chat-completions API - Check hardware and installation compatibility with rec doctor ## Why it’s here - Star-counter measurements on 2026-10-23 (UTC), 00:37–03:24: 125 → 134 stars (+9). This is the change over that interval. - Estimated end-of-day forecast: about +62 stars, using observed gains and the previous day. - The repository is 2 days old and already has 134 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #169. - About 9 forks a day — people are taking the code. - Recent forks include notable developers: @audreyt (8,995 followers), @yagop (486 followers). ## 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: 12 - Issues and pull requests: 12 - Watchers: 0 - Average over the last week: 66 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 5 - Latest release: v0.1.0 (2026-10-21) ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-21 … 2026-10-23: 72, 63, 9 ## Spotted in now - Top new repositories this week: #169 ## Similar by description 1. **nace-ai/kapitsa** — 5.1 · Early signal · Language models · C++ · +23 stars measured 2026-10-23, 00:37–03:24 UTC, ≈ 121 by evening Apple Silicon optimized inference engine for Qwen and Nemotron models with OpenAI- and Anthropic-compatible APIs. Runs local LLMs on Mac via CLI and a web chat. Full card: https://gitnova.dev/en/r/nace-ai/kapitsa.md 2. **ggml-org/llama.cpp** — 3.4 · Steady · Language models · C++ · +13 stars measured 2026-10-23, 00:38–03:26 UTC, ≈ 102 by evening LLM and VLM inference implemented in C/C++ with no dependencies, running on CPUs and GPUs across many hardware backends. Enables local model execution with minimal setup and quantization. Full card: https://gitnova.dev/en/r/ggml-org/llama.cpp.md 3. **pingdotgg/t3code** — 3.9 · Steady · AI agents · TypeScript · +23 stars measured 2026-10-23, 00:37–03:25 UTC, ≈ 214 by evening T3 Code is an agent harness control surface for agents on your machine, with mobile (iOS, Android), web and Electron desktop apps. It works with your Claude Code, Codex, Cursor, Grok Build, OpenCode and Google Antigravity subscriptions if… Full card: https://gitnova.dev/en/r/pingdotgg/t3code.md 4. **magnitudedev/magnitude** — 1.7 · Cooling · Language models · Rust · +0 stars measured 2026-10-23, 00:00–03:30 UTC, ≈ 11 by evening Open source inference engine for consumer hardware that profiles your machine, recommends the best local models, then downloads, tunes, and runs them, with one-click connection to AI agents. Full card: https://gitnova.dev/en/r/magnitudedev/magnitude.md 5. **Niko1221/Strata** — 4.2 · Steady · Language models · C++ · +68 stars measured 2026-10-23, 00:37–03:25 UTC, ≈ 560 by evening A C++ local inference engine that runs the 125B MoE model Qwen3.8-Flash-Next on a regular PC with one NVIDIA GPU (12-24 GB) and 64 GB RAM, exposing an OpenAI/Anthropic-compatible API on localhost. Full card: https://gitnova.dev/en/r/Niko1221/Strata.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 2026-10-23 03:35 UTC, updated every 30 minutes.