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GitHub Repository
4 starsPython
LLMs as Planners, Not Reasoners
by dkohlsdorf·Apr 7, 2026·7 points·0 comments
AI Analysis
●MidShip ItBold Bet
Interesting conceptual take, but the repo has 2 commits and zero working code.
Strengths
- •Challenges the dominant 'LLMs as reasoners' paradigm with a clear alternative framing.
- •Prolog integration suggests symbolic reasoning handoff rather than pure neural approaches.
Weaknesses
- •Only 2 commits, 0 stars — no actual implementation to evaluate or use.
- •No benchmarks, examples, or comparison to existing planner-reasoner architectures.
Category
Target Audience
AI researchers and developers experimenting with LLM architectures
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LangChain Agents · AutoGen · ReAct prompting
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