agent-o-rama
OfficialTrain agents to learn interaction patterns.
Data & Analytics#topic modeling#behavioral patterns#pattern discovery#temporal patterns#agent-o-rama
Authorplurigrid
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Agent-o-rama trains learning agents on interaction sequences to uncover behavioral patterns, producing models compatible with cognitive-surrogate systems. It supports both traditional temporal learning and a derivational, deterministic generation path for faster pattern discovery.
Core Features & Use Cases
- train-interaction-predictor: Build models to predict next interactions from history.
- extract-temporal-patterns: Discover time-based behavior patterns.
- extract-topic-patterns: Analyze topic dynamics and transitions.
- skill-discovery: Identify latent skills in interactions.
- derive-patterns-via-unworld: Deterministic pattern derivation for fast exploration.
Quick Start
just agent-train interactions.duckdb --epochs 100
Dependency Matrix
Required Modules
duckdbpandasnumpy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agent-o-rama Download link: https://github.com/plurigrid/asi/archive/main.zip#agent-o-rama Please download this .zip file, extract it, and install it in the .claude/skills/ directory.