A practical toolkit for auditing memory, permissions, recovery, and continuity in AI agents before trusting them with more autonomy.
Most AI agents do not fail loudly. They fail by sounding coherent while losing obligations.
A long transcript is not continuity. A vector database is not continuity. A polished persona is not continuity. Continuity exists when a system remains constrained by prior commitments, corrections, permission boundaries, and recovery rules after reset, migration, context loss, or tool failure.
The Agent Continuity Kit turns that problem into an audit workflow: check what matters, score the risks, define the recovery bundle, separate capability from authority, and run a reset drill before increasing trust.
Agent builders, indie hackers, AI workflow consultants, OpenClaw-like personal agent users, and teams moving from demo to real operation.
It is not a magic prompt pack, a replacement for legal/security/compliance review, or an argument for proving consciousness. It is a practical continuity audit kit.
Run the free preview quick check, complete the full checklist, fill the risk matrix, define the recovery bundle, write the permission ledger, run the reset drill, then fix the top three risks before giving the agent more autonomy.