Programmatic memory for long-horizon LLM agents: the harness appends everything to one log, and the agent searches it with code. 97.4% on ARC-AGI-3 (arXiv:2607.20064)
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Updated
Aug 21, 2026 - Python
Programmatic memory for long-horizon LLM agents: the harness appends everything to one log, and the agent searches it with code. 97.4% on ARC-AGI-3 (arXiv:2607.20064)
The history files when recording human interaction while solving ARC tasks
My writings about ARC (Abstraction and Reasoning Corpus)
An agent skill that plays ARC-AGI-3. One rule: say what an action will do before you spend it. Claude Code on Opus 5 finished all 25 public games at 100.00 RHAE in 7,645 actions.
A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus
Enjoy puzzle-solving directly in your browser.
ARC gym: a data generation framework for the Abstraction & Reasoning Corpus
Artificial intelligence with a network of connected neurons
A python framework to streamline your ARC challenge solutions. From graphical displays to optimized Kaggle submissions
SHYRS: A proof of concept for specifying how humans solve ARC-AGI-2 puzzles
Prompts for solving ARC (Abstraction and Reasoning Corpus) with GPT4 or similar
Big ARC tasks compatible with the Abstraction and Reasoning Corpus json file format
This Agent Beats AGI? Prime Agent GitHub Tested Locally - Autonomous Recursive Multi-Agent Logic & Puzzle Solver harness inspired by Prime Intellect RLM architecture.
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