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Pooled: Peer-to-peer LLM inference in the browser: pool your devices to run big open models, for chat and coding agents. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Pooled. This is an automatic list. We have not written a researched verdict for Pooled yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
In-browser Postgres sandbox with AI assistance (formerly postgres.new)
Database Build is an in browser Postgres sandbox with AI assistance, published by Supabase as an experiment. Users can spin up any number of Postgres databases that run entirely inside the browser, and each database is paired with a large language model that helps design schemas, write queries and work with the data th...
On-device AI SDKs for iOS, macOS, Android, and the web.
Desert Ant Labs is an on device AI lab that builds small, specialised models, each designed to do one job well, and ships them through a single native SDK that adds them to an app in a few lines of code. Because the models run on the phone or computer the end user already owns, there is no cloud bill and no per call or...
Provider-pluggable orchestration runtime for multi-model AI inference.
Dot Loom is the open source orchestration component of Dot, a private and anonymous AI platform at usedot.xyz. Loom passes a request through a router, a drafter, a critic and a finalizer to produce one finished answer, and it underpins Dot's developer and agent features. The wider Dot service offers chat, code, image a...
Achieve state of the art inference performance with modern accelerators on Kubernetes
This platform is an open source, Kubernetes native stack for distributed large language model inference. It takes inference engines such as vLLM and SGLang and runs them across a cluster, turning single node engines into production serving on hardware an organization already has. It is aimed at platform and infrastruct...
LLM7.io offers a single API gateway that connects you to a wide array of leading AI models from various providers.
LLM7.io is a hosted API that gives access to dozens of AI models through one OpenAI compatible endpoint. Developers keep their existing OpenAI SDK code, change the base URL to api.llm7.io, and can then switch between models from providers such as DeepSeek without rewriting calls. Example code is shown in Python, cURL, ...
Easy, advanced inference platform for large language models on Kubernetes.
llmaz is an open source inference platform for running large language models on Kubernetes. It aims to let a team stand up a model serving endpoint with minimal configuration, handling model loading, scaling and routing inside an existing cluster. The project documents a broad set of capabilities. It supports several ...