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kolo - greppable debugger for Python agents

Python debugger built for AI agents: captures every executed function call, return value, local variable, and HTTP request into greppable trace files.

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Rapid-MLX - 2-4x faster local LLM inference on Apple Silicon

MLX-native inference engine with OpenAI-compatible API. The novel piece: DeltaNet state snapshots bring prompt caching to non-trimmable architectures (Qwen3.5 hybrids), restoring RNN state in ~0.1ms. 2-5x faster TTFT, native Metal kernels, continuous batching.

Why I saved this - DeltaNet state snapshots are described as the first prompt-cache technique for non-trimmable MLX architectures - Ollama and llama.cpp can't match this on hybrid RNN-attention models today.