mycellm_ is an open source platform for distributed inference with large language models (LLMs), enabling users to chat with open models for free using compute resources contributed by a global network of GPU nodes. The system is designed to avoid single points of failure by routing requests across multiple peers, ensuring continued availability even if individual nodes go offline. Users can contribute their own idle GPU resources to the network and earn credits, which can then be spent to run larger models within the system, establishing a credit-based exchange for compute power.
The platform offers a drop-in OpenAI-compatible API, allowing users to switch from other providers by changing a single environment variable. dev. mycellm_ also features a Sensitive Data Guard, which scans outgoing prompts on-device for sensitive information such as API keys, passwords, and personally identifiable information; if high-severity matches are detected, prompts are automatically routed to a local model so that sensitive data never leaves the user's device.
Users can participate in the network without signing up, and the platform can be installed via pip, Docker, or a one-liner script on macOS, Linux, or Windows. Additionally, there is an iOS and iPadOS app that allows iPhones or iPads to function as nodes within the network, with M-series iPad Pros capable of running models at notable speeds. The platform provides a web dashboard accessible at localhost:8420 for managing chat and network participation.
0 open source license, allowing users to audit, fork, and extend the codebase. The platform emphasizes transparency, community-driven scaling, and the absence of vendor lock-in. Users can also run their own private swarms or federate with trusted peers, maintaining control over membership, models, and data routing across networks.
mycellm_ sits in PulseGate's Foundation models & chat category. It enables users to run and access distributed LLM inference using open source models across a global network. mycellm_ is an open-source project aimed at developers and AI enthusiasts. The project is open source (Apache-2.0). The product ships for the web, the command line, and iOS, and it can be self-hosted.
Dodecki Labs builds and maintains mycellm_, and the product first shipped in 2026. The project is developed in the open on GitHub with 85 commits in the last 90 days. Across PulseGate's embedding index, mycellm_ has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are distributed inference, open source models, and no signup.
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