Your knowledge base is the new source code. So treat it that way. With engineering discipline.
Paniolo is lightning-fast agentic tooling written in Rust, backed by cutting edge best practices research. Search your knowledge base in milliseconds, without burning a single token from your AI vendor. Agents search what they need on demand through MCP, and a hook puts relevant results in front of them automatically, on every prompt.
Your knowledge. Your rules.
npx @paniolo/cli scan .
Read-onlyWrites nothingNo account required
Paniolo is grounded in Agentic Harness Engineering (AHE), published at ICLR 2026 by researchers from Fudan University, Peking University, and Shanghai Qiji Zhifeng. The paper introduces a closed-loop observability framework that autonomously evolves coding-agent harnesses without base-model retraining.
Ten iterations lift pass@1 from 69.7% to 77.0%, surpassing every human-designed baseline — OpenCode, Terminus-2, and Codex — and both self-evolving baselines. The frozen harness transfers to SWE-bench-verified and yields consistent gains of +5.1 to +10.1 pp across three alternate model families.
The evolved harness uses 12% fewer tokens than the seed. As token pricing increases, this efficiency advantage compounds. Better performance and lower cost are not in tension — harness quality is the resolution.
Paniolo was already building toward this. We treat every agent error as infrastructure debt, every correction as a permanent improvement to the intelligence layer. The science validated the architecture we were already constructing.
Researchers at Fudan, Peking University, and Shanghai Qiji Zhifeng confirm what we have been building on: harness engineering is vital to AI performance in code. Ten iterations of autonomous evolution lift pass@1 from 69.7% to 77.0%, using 12% fewer tokens. Better results, lower cost. This is the research Paniolo is built on.
Next: a deep dive into QMD, linting, and structured tooling.
The Paniolo CLI is available now. Talk with us about adopting it across your engineering team, or about the business we are building.