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Research

Notes and experiments on agent runtimes, memory, orchestration, protocols, and AI infrastructure.

research note

Agent runtime concepts

Execution loops, role boundaries, termination rules, persistent state, and runtime-level failure handling.

#runtime#agents#orchestration

active experiment

Memory models for LLM systems

Comparing episodic, semantic, compressed, and affective memory for agents that need continuity.

#memory#retrieval#state

architecture note

MCP routing and tool boundaries

How tool catalogs, permissions, connector identity, and protocol adapters shape reliable agent execution.

#MCP#tools#protocols

experiment

LLM inference on constrained hardware

Porting llama.cpp to the Xbox Series S|X via UWP dev mode — a study in running local inference under tight memory and platform limits.

#llama.cpp#on-device#C++
xllama