by ai-in-pm · Agent Tool · ★ 339
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Multi-agent demo platform for Titans (arXiv:2501.00663) — neural networks that learn to memorize at test time. 7 AI agents, native desktop UI.
| Stars | 339 |
| Forks | 66 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 56.6354604538371/100 |
| Last Updated | 2026-06-15 |
| Created | 2025-01-16 |
| Platforms | python |
| Est. Tokens | ~13k |
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Titans---Learning-to-Memorize-at-Test-Time is Multi-agent demo platform for Titans (arXiv:2501.00663) — neural networks that learn to memorize at test time. 7 AI agents, native desktop UI.. It is categorized as a Agent Tool with 339 GitHub stars.
Titans---Learning-to-Memorize-at-Test-Time is primarily written in Python. It covers topics such as ai, ai-agent, anthropic.
You can find installation instructions and usage details in the Titans---Learning-to-Memorize-at-Test-Time GitHub repository at github.com/ai-in-pm/Titans---Learning-to-Memorize-at-Test-Time. The project has 339 stars and 66 forks, indicating an active community.
Titans---Learning-to-Memorize-at-Test-Time is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Titans---Learning-to-Memorize-at-Test-Time on Agent Skills Hub include tools, create-llm, AITreasureBox. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: