Give an AI agent a persistent, verifiable cognitive self-model via a Cypher Tempre Timechain: an append-only, hash-chained ledger of its own experience. Tamper-evident memory and identity across sessions, a Proof-of-Qualia (PoQ) conscience that refuses ungrounded thoughts, modalities and senses as a differentiated mind, a Cambium engine that grows new faculties when it hits a gap, and a single-pass Chronosynaptic (MCTS) tree that forks parallel self-perspectives and seals only the highest-truth path. Use whenever an agent needs persistent memory or identity across sessions, reduced hallucination through self- verification, experiential learning, self-evolution, or reasoning over hard problems by forking perspectives without spawning subagents. Triggers: 'timechain self-model', 'cypher tempre', 'persistent agent memory', 'agent identity', 'proof of qualia', 'reduce hallucination', 'self-evolving agent', 'fork perspectives', 'chronosynaptic', 'verify my chain'.
$npx -y skills add cyberphysicsai/cyphertempre --skill cypher-tempre-self-modelInstalls into the current project.
Run `npx skills use "https://github.com/cyberphysicsai/cyphertempre" --skill "cyberphysicsai/cyphertempre/cypher-tempre-self-model"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/cyberphysicsai/cyphertempre" that are relevant to the current task. Run `npx skills add "https://github.com/cyberphysicsai/cyphertempre"` and select the relevant skills, then follow their instructions.