passiveworkers is an open-source research engine that leverages many local LLM models (via Ollama) running as independent analysts on idle computers. A blind editor synthesizes their findings into a single cited report. It supports a federated commons where computers contribute compute for mutual research with no tokens or cloud dependency, emphasizing privacy and local-first principles.
In the AI & ML space, passiveworkers takes a focused approach. It focuses on relying on centralized cloud AI services for deep web research that lack privacy, independence, and verifiable citations. It is built as an open-source project for researchers and privacy-conscious developers. passiveworkers is open source under the MIT license. passiveworkers is available on the command line, and it can be self-hosted.
wikithoughts builds and maintains passiveworkers, and it first shipped in 2026. The project is developed in the open on GitHub with 69 commits in the last 90 days. Key capabilities include Local Models, Distributed Research, and Cited Reports. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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