Whatisagentv1.0.0

An AI agent in a development team automatically annotates call chains in code and updates handoff documents for every directory. This ensures that all code changes are self-documenting and traceable without manual effort.

An agent responsible for a multi-step project automatically creates handoff docs after each session, plans complex tasks step-by-step, and writes work handbooks. This allows project continuity even when different team members interact with the agent.

A customer support agent uses memory files to remember past interactions, customer preferences, and resolution steps. It logs every conversation to worklog.md and updates knowledge.md with new solutions, reducing repeat issues.

An agent in a regulated environment maintains a handoff doc per department, logs all file operations, and annotates call chains to ensure compliance. It leaves a clear audit trail for every action taken.

An agent accumulates domain expertise by reading documents into knowledge.md and compressing old worklogs to control costs. It references past findings for new tasks, acting as a persistent research assistant.

Offer a free tier with limited memory (e.g., 5 MB) and basic handoff capabilities. Premium tiers unlock larger memory, advanced compression, and multi-project support. Revenue from subscriptions.

Provide consulting services to design efficient memory hierarchies (tiered loading, RAG) and handoff workflows for large companies. Charge per project or retainer for optimization and custom integration.

Deploy custom agents for clients that manage projects, documentation, or compliance. Pricing based on number of invocations or memory tokens consumed, with a base fee for setup and maintenance.