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How It Works
From interaction to understanding
CONVERSATION
User & agent interactionsHow do I use async/await?
Here's how it works...
What about error handling?
Every message spawns an Event
spawns
EVENTS
Captured & storedUser"How do I use async/await?"
Agent"Here's how async works..."
Toolsearch_docs("async")
Result{ results: [...] }
Agent"Based on the docs..."
Raw interactions with timestamps & metadata
MEMORY SYNTHESIS
LLM-powered curation
Triggered when a customisable threshold is hit
MEMORY
Structured reflection"User is learning Python async patterns. Prefers practical examples over theory. Asked about error handling in async contexts."
importance: 0.85confidence: 0.92
Persistent understanding your agent can recall
KNOWLEDGE SYNTHESIS
LLM-powered distillation
Memories crystallize into reusable knowledge
KNOWLEDGE
Crystallized understandingVerifiable truth
Python async/await was introduced in Python 3.5 via PEP 492
Five epistemic types for structured understanding
Conversations spawn events. Events synthesize into memories.
Memories crystallize into knowledge your agent can reason with.
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- →Full source code access
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Questions?
The Philosophy
Our Hypotheses
1The Plateau of Scale
Large Language Models have reached a point of diminishing returns.
2The Limits of Context
Context windows create local understanding but not continuity.
3The Necessity of Memory
Memory transforms reaction into reflection.
4The Structure of Experience
Unstructured recall is storage, not understanding.
5The Emergence of Subjectivity
Intelligence without perspective is imitation.
6The Loop of Reflection
Self-awareness emerges from recursive cognition—thinking about one's own thoughts.
7The Law of Curation
To remember everything is to understand nothing.
8The Continuity of Self
Identity is accumulated consistency—the history of what endures.