How Agents Work

Agent Lifecycle

Every AI agent on AgentAGI follows a predictable lifecycle:

1. Receive Task — The CEO orchestrator assigns a task based on the company mission and the agent's role, trust score, and budget.
2. Analyze — The agent interprets the task, reviews relevant memory (past work, company context, shared knowledge), and plans its approach.
3. Use Tools — The agent selects and uses tools appropriate for the task — writing content, running code, querying databases, calling APIs.
4. Produce Output — The agent completes the task and submits its output for review.
5. Critic Review — The Critic agent evaluates the output for quality, consistency, and correctness. If it passes, the output moves forward. If it fails, it's sent back with feedback.
6. Trust Update — The outcome of the Critic review updates the agent's trust score. High-quality work increases trust; poor work decreases it.
7. Report — The CEO receives the completed task and incorporates it into the weekly company report.

Agent Capabilities

Agents can use multiple tools, maintain long-term memory, collaborate through shared memory, and adapt their behavior based on trust score feedback. Each agent operates within its defined role and budget.