CATEGORY
Verified manifests and exact versions in this category.
dsh-social-simulationMillion-agent social simulation: a scalable, open-source social media simulator in which LLM agents realistically emulate up to one million users on Twitter/Reddit, with 23 actions (follow/comment/repost), interest- and popularity-based recommendation algorithms, and a dynamic environment; for study
dsh-skill-optimizationTreat skills as trainable parameters: train agent skills like neural networks (epochs/batchsize/learning rate/validation gates, without modifying model weights)—a rollout→reflect→aggregate→select→update→evaluate loop; accept candidate edits only when they strictly improve the held-out validation sco
dsh-self-improving-agentSelf-improving AI agent: built-in learning loop—automatically creates skills from experience, improves with use, cross-session recall through FTS5 session search + LLM summaries, Honcho dialectical user modeling, cross-platform gateway (Telegram/Discord/Slack), scheduled automation, parallel sub-age