Hey HN! Here's Hegelion -- applying Hegelian dialecticism to push LLMs to construct stronger arguments.
The motivation I think is pretty obvious -- most LLM answers are confident first drafts. They rarely surface their own contradictions or explore serious alternatives. Hegelion wraps any backend and makes it do three passes: Thesis – initial answer. Antithesis – targeted self-critique: contradictions, missing cases, bad assumptions. Synthesis – a reconciled, more defensible position.
The JSON output is designed for researchers and eval work. Each run includes: contradictions: itemized weaknesses the model identified in its own reasoning. research_proposals: testable hypotheses or follow-up questions from the synthesis. metadata: timings, backend info, prompt hashes, etc.
Repo includes a CLI + Python API, MCP server for multiple backends, & hegelion-bench tool for basic model comparison
Hey HN! Here's Hegelion -- applying Hegelian dialecticism to push LLMs to construct stronger arguments.
The motivation I think is pretty obvious -- most LLM answers are confident first drafts. They rarely surface their own contradictions or explore serious alternatives. Hegelion wraps any backend and makes it do three passes: Thesis – initial answer. Antithesis – targeted self-critique: contradictions, missing cases, bad assumptions. Synthesis – a reconciled, more defensible position.
The JSON output is designed for researchers and eval work. Each run includes: contradictions: itemized weaknesses the model identified in its own reasoning. research_proposals: testable hypotheses or follow-up questions from the synthesis. metadata: timings, backend info, prompt hashes, etc.
Repo includes a CLI + Python API, MCP server for multiple backends, & hegelion-bench tool for basic model comparison
Repo: https://github.com/Hmbown/Hegelion
I'm the creator (hmbown). Curious to hear if this is useful for your own work.
Interesting! Does "write your tests first" have any parallel in Hegelian approaches?
thank you Probably not but it did allow me to take this as great feedback!