javantanna

iran can shut down IPv6. What they can’t shut down is ideas. Jack Dorsey’s BitChat feels exactly like the kind of tool people should be ready to use.

I’m running local LLMs using Ollama and hitting the usual wall:

small context windows + no persistent memory = hard to solve multi-step or long-horizon tasks. For those who have built serious local setups: How do you give your model persistent memory? Vector DBs? RAG? Fine-tuned adapters? Some kind of external state management loop? Or a custom “memory module” you wrote yourself? I’m looking for practical approaches that let a local model remember past steps, keep working on long tasks, and behave more like an agent with continuity.