kaiwu5/awesome-ai4ai
AI4AI Survey: can AI reliably improve AI? 223 papers on long-horizon agents, benchmarks, harness design, and recursive self-improvement · updated weekly
AI4AI Survey: can AI reliably improve AI? 223 papers on long-horizon agents, benchmarks, harness design, and recursive self-improvement · updated weekly
The official implementation of "Driving on Memory" by Löwens et al. - GitHub - boschresearch/MemoryDrivoR: The official implementation of "Driving on Memory" by Löwens et al.
The release repo for SpiceXplorer project. Developed by MacAnalog research group.
Code for our paper: "Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall"
Open-source SEO + GEO skills for Claude — keyword research, rank tracking, site audits, backlinks, competitor gaps, AI visibility. Runs on your real Search Console / GA4 / ads data via MCP, with DataForSEO built in. Free, MIT.
Conditional Lean formalization and numerical certificate for prime gaps at most 186.
Self-contained malware research hub: curated catalog of 80 families (1971-2024) + 2,764 real encrypted samples, indexed and searchable. Local Flask app, bilingual.
Verified reverse engineering: AI RE grounded on deterministic tools - results checked against the binary, not hallucinated.
Marco Search Agent for Realistic and Challenging Agentic Search
Curso de SDD (Spec-Driven Development) desde cero.
StudentSim is a research framework for training and evaluating AI models that simulate how students respond to learning material. The research goal is to give AI tutoring researchers a realistic stand-in for a student against which to test their tutoring methods quickly, before involving human students per experiment.
WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous Driving
Open the project to explore the idea and the code.
Rubric-Centered Framework for Research-Plan Generation
A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power. - GitHub - OpenLAIR/dr-claw: A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.
Turn any AI agent into a computational researcher. HexStellar Cortex delivers software-accelerated optimization, quantum computing, scientific computing, decision intelligence, and verifiable execution through a Python CLI and API—with certainty labels, verification receipts, examples, and a free sandbox. Start instantly: pip install hexstellar
Run parallel research agents with any model.
A universal, atomic library of mathematics and tools for agents to compose them.
Official codebase for Game2World .
Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents
🔥🔥🔥 DSLighting is an LLM-driven autonomous data science execution engine that turns task descriptions and datasets into iterative code generation, execution, evaluation, and refinement workflows.
Unified Physical Grounding for Simulation-Ready 3D Assets
Run parallel research agents with any model.
RSI-Exam: Measuring Recursive Self-Improvement on Long-Horizon, Executable Research Tasks · Discord https://discord.gg/FBzhepyE