eif-engine is an open-source command-line framework that brings the scientific method to AI agent reasoning. It helps AI researchers and developers ensure epistemic integrity, reduce hallucinations, and analyze agent behavior using Bayesian methods. MCP integration is supported.
eif-engine sits in PulseGate's Autonomous agents & workflows category. It focuses on improving the reliability and transparency of AI agent reasoning by applying scientific method principles. It is built as an open-source project for AI researchers. eif-engine is open source under the MIT license. eif-engine is available on the command line.
Leandro Celis builds and maintains eif-engine, and the product first shipped in 2026. Development happens publicly on GitHub with 24 commits in the last 90 days. Key capabilities include agent reasoning, scientific method framework, and epistemic integrity. It exposes integrations via an MCP server.
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