
Uneven AI serves as a local autonomous agent for real-time code protection and error resolution.

Uneven AI integrates directly into terminal environments to observe running processes and intervene when errors occur. It supports interactive queries for code modifications, maintains detailed logs of changes, and enables offline analysis of files and databases using hardware-accelerated local models. The system includes background monitoring for crashes or compilation problems, allowing instant diagnostic responses and patches. Security features encompass ongoing scans for threats and vulnerabilities, all governed by a single configuration file that defines knowledge sources, masking rules, and audit behaviors. Designed for both modern and legacy codebases, it acts as an embedded specialist that preserves data sovereignty without external exposure during analysis or execution tasks.
Uneven AI observes execution streams in the terminal, detects errors from dev servers or test suites, and applies automatic fixes while maintaining forensic logs of all changes with diffs.
Runs Pentest Mode with OWASP scanning, secrets detection, and malware verification as a headless pipeline to secure code, dependencies, and infrastructure before commits.
Indexes source files, PDFs, and databases entirely locally with hardware acceleration, enabling surgical edits via interactive shell while supporting zero-trust cloud models when needed.
Pricing model: Free. Plan details are indicative — check the site for current prices.
Our take: Uneven AI is a solid coding & dev choice. It's valued for bank-grade data sovereignty with zero external data exposure and up to 30x faster local workspace analysis. The main trade-off is requires one-time ~1.5gb local model download. A good pick if you want capable AI without a high upfront cost.
An autonomous local-first AI agent that runs in the terminal, monitors code execution, auto-heals errors, performs security audits, and supports fully offline models via uneven.config.ts.
Uneven AI is a solid coding & dev choice. It's valued for bank-grade data sovereignty with zero external data exposure and up to 30x faster local workspace analysis. The main trade-off is requires one-time ~1.5gb local model download. A good pick if you want capable AI without a high upfront cost.
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