"Agents are highly reactive to their context, and their reasoning is influenced by every past thought, observation, and action. This append-only trajectory means that coherence is crucial for optimal performance."
"When context accumulates irrelevant information, the agent's ability to focus on the next optimal step diminishes. Broader tasks lead to less relevant context, negatively impacting performance."
"An agent that has implemented a solution is less capable of objectively evaluating its work compared to a fresh agent. This bias can lead to confirmation of previous actions rather than critical assessment."
The Missions system addresses the limitations of single-agent sessions by dividing complex projects into manageable tasks for new agents. Each agent operates with a narrowly defined goal, shared state, and explicit validation. This approach mitigates issues of irrelevant and adversarial context accumulation, which can hinder performance. By ensuring that each agent's trajectory remains focused and aligned with its objectives, the system enhances overall efficiency and effectiveness in task execution.
Read at Factory.ai
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