Uneven Agent takes a different approach from a chat-based coding assistant. It runs as a background watcher beside the terminal, monitors a development server, and is designed to respond when the application breaks. The project says it can inspect a stack trace, apply a targeted repair, and log every change in a local Markdown file, reducing the need for developers to stop and debug manually.
A watcher built around the terminal
According to the official site, the agent reads the development server’s execution stream and reacts when it captures an error. Before writing code, it performs security checks covering issues such as SQL injection and supply-chain attacks. The tool is presented as a parallel daemon rather than a conversational assistant, although the publicly available technical details remain relatively high-level.
Local indexing and bring-your-own keys
Uneven Agent’s privacy model centers on local processing. The company says file scanning and indexing run on local hardware and that zero bytes of code are sent to the cloud. Users must provide their own API key and can choose among five providers: Native engine, OpenAI, Anthropic, Gemini, and Ollama.
When a cloud model is connected, the official description says the service sends only the prompt context needed for a specific request, rather than the entire project. A local index caches repository context, which is intended to reduce token use in later requests.
Languages, licensing, and cost
The website says the agent supports TypeScript, Python, Go, Java, and other modern stacks, as well as legacy languages such as COBOL and Delphi. Installation requires a single command, with the company claiming that users can go from installation to a first result in about two minutes.
Uneven Agent is released under the BSL 1.1 (Business Source License), and its source code is available. Personal use is free, while commercial projects require an authorized license. For developers prioritizing local indexing and code-privacy claims, the model is practical on paper; its deeper mechanisms and limits still need to be checked against the project’s GitHub source and documentation.
Method: This page was prepared with AI assistance from the official site or repository, with key numbers automatically checked against that source. Features and pricing may change; verify them at the source. official product page











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