DeltaMemory – Persistent cognitive memory for production AI agents
Knowledge graph compression (3,714x token ratio) is impressive, but 'persistent agent memory' is crowded territory.
Local-first AI operating system. Persistent memory, 178 cognitive modules, multi-model reasoning. Runs on your hardware, not theirs. I am releasing SOMA to the world as I have reached the technical ceiling of what I am capable of so treat her good and enjoy.
178 modules and P2P learning sound impressive; unclear if implemented or aspirational.
Researchers, hobbyists, and developers exploring local AI architectures and multi-agent systems
Jan.ai · LM Studio · Ollama
Knowledge graph compression (3,714x token ratio) is impressive, but 'persistent agent memory' is crowded territory.
Trigger-based cognitive architecture for Claude Code loses context anyway without API-level state persistence.
Buzzword-heavy architecture claiming to beat transformers with 990k params.
Claims brain-like cognition with zero LLM calls, but zero evidence of actual learning.
Another decentralized compute network competing with Golem, Akash, and iExec.
Cross-provider agent memory is clever, but LLM context windows keep growing and RAG is already standard.