selinayfilizp/decision
The missing layer in the AI agent stack. Teach your agent how you decide. Generates a portable DECISION.md from research-backed preference elicitation.
Implements a structured preference elicitation framework that converts personal decision-making patterns into a machine-readable markdown specification, enabling agents to autonomously navigate tradeoffs without explicit approval. The approach emphasizes domain-specific risk profiles, explicit thresholds for autonomous action, and documented anti-patterns (cognitive biases the user exhibits) rather than aspirational traits. Designed to integrate with existing agent frameworks that use modular soul documents (SOUL.md, SKILL.md, AGENTS.md), allowing portable decision logic that improves through calibration feedback loops.
Stars
4
Forks
—
Language
—
License
MIT
Category
Last pushed
Mar 22, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/selinayfilizp/decision"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
arielshad/balagan-agent
Chaos Engineering for AI Agents
Clawland-AI/Geneclaw
Self-evolving AI agent framework with 5-layer safety gatekeeper. Agents observe failures,...
evoplex/evoplex
Evoplex is a fast, robust and extensible platform for developing agent-based models and...
MrTsepa/autoevolve
AI agent evolving strategies through automated self-play overnight. Generic framework with...
adrianwedd/AI-SWA
SelfArchitectAI - A self-evolving software architect agent that reasons about its own design,...