AI SummaryAI Agents provides a framework for designing accountable, self-learning agents that operate within organizations through defined lifecycle stages, interaction patterns, and governance controls. It benefits teams building AI-native organizations who need structured approaches to agent deployment, oversight, and human-AI collaboration.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to set up the "AI Agents" agent in my project. Please run this command in my terminal: # Add AGENTS.md to your project root curl --retry 3 --retry-delay 2 --retry-all-errors -o AGENTS.md "https://raw.githubusercontent.com/gusafr/midora-solid-ai/main/DOCS/05-ai-agents.md" Then explain what the agent does and how to invoke it.
Description
solid.ai — The organizational nervous system for AI-Native companies. Framework and open standard for designing intelligent, self-learning organizations powered by AI, data, and automation.
AI Agents
AI agents in SOLID.AI operate as accountable members of the organization. They collaborate with humans, adhere to governance policies, and continuously improve through feedback.
Agent Lifecycle
• Purpose Definition – Document mission, constraints, and success metrics. • Design & Training – Configure prompts, skill plugins, and safety filters. • Deployment – Register the agent in the Cognitive Layer registry with metadata. • Observation – Monitor performance, drift, and incident reports. • Iteration – Adjust capabilities, retrain models, or retire agents via ADRs.
Agent Roles
• Insight Curator: Synthesizes data into narratives and dashboards. • Automation Orchestrator: Coordinates multi-step workflows across systems. • Compliance Sentinel: Flags policy deviations and anomalies. • Learning Companion: Supports training, documentation, and knowledge management.
Accountability Framework
• Assign human stewards responsible for oversight and ethical review. • Maintain audit logs of agent decisions and interventions. • Require explainability artifacts for critical actions (text summaries, trace IDs).
Discussion
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