Everyone's building agent memory. We're building agent wisdom. Model-agnostic cognitive infrastructure that makes AI agents learn, reflect, and develop judgment over time.
from wisdom_layer import WisdomAgent, AgentConfig agent = WisdomAgent( config=AgentConfig( name="Support Agent", directives=["Verify identity before account access"], ), model=AnthropicAdapter(api_key="..."), backend=SQLiteBackend("./agent.db"), ) # Your agent remembers await agent.memory.capture("conversation", {"user": msg}) # Your agent reflects report = await agent.dreams.trigger() # Your agent self-corrects review = await agent.critic.evaluate(response)
Five integrated subsystems that produce autonomous cognitive development. No fine-tuning. No retraining. Just architecture.
Raw events → consolidated knowledge → reflective journals. Every insight traces back to ground truth. Information matures, never corrupts.
Scheduled autonomous reflection. Pattern recognition, self-criticism, creative synthesis, and active forgetting. Your agents process experience like biological minds process sleep.
Real-time epistemic drift detection. Catches narrative inflation, confidence miscalibration, and source grounding failures before they reach your users.
Agents propose their own behavioral rules from experience. Human-approved, automatically enforced. Your agents develop institutional knowledge.
Track wisdom score, self-correction rate, memory utilization, and cognitive health over time. Measure what your agents learn, not just what they do.
Cross-agent memory scoping, shared insights, and coordinated dream cycles. Your agent fleet develops collective wisdom.
Start free. Upgrade when your agents need to learn.
6+ months of continuous operation across 7 persistent AI agents. Tuned hyperparameters from real-world cognitive development. Patent pending.
Persistent agents in production
Months of continuous operation
Subsystems working in concert
LLM — model agnostic
Deep dives into the architecture, the science, and the results.
Why agents that process 10,000 conversations a day learn nothing from any of them.
A small model autonomously designed a framework to catch its own confabulation.
Pattern resonance as honest discontinuity — identity without continuous experience.
SDK launching soon. Get early access and founding customer pricing.
Or reach out directly: jeff@rhatigan.ai
Building AI agents that need to learn? Let's talk.