Tools for Agent Memory, Planning & Quality

They are the tools that give an agent cognition and self-control: durable memory, planning, sub-agent delegation, checkpoints, human approval gates, and output verification such as confidence scoring, citation checking, and fact checking. Assigned to an agent, they raise its reliability and make its reasoning auditable.

Yes. The memory store, recall, and search tools give an agent durable memory that persists across runs, so it can remember prior context, decisions, and facts instead of starting cold every time — all stored inside your perimeter.

Assign the human approval request tool. The agent pauses at defined points and waits for a person to approve before proceeding, so high-stakes actions never happen autonomously. The clarification request tool similarly lets an agent ask for missing information instead of guessing.

Yes. The confidence scoring, output quality evaluation, citation verification, source cross-check, and fact-checking tools let an agent assess and prove its output — flagging low-confidence answers and confirming that citations actually support the claims before it responds.

The checkpoint save and restore tools let an agent snapshot its state partway through a long task and resume from that point if it is interrupted or needs to retry — so multi-step work does not have to start over from the beginning.

Attach them to any agent from its toolkit under role-based policy. Memory, planning, approval, and verification tools can be combined on one agent or spread across a VDF AI Network for governed, auditable multi-agent autonomy.