Two small tools from my Hermes setup, now open source
session-vault archives every AI agent session into one searchable SQLite file; search-fusion is a budget-aware web search plugin for Hermes. Both MIT.
Notes and experiments on local AI, agents, and model benchmarks.
DeepSeek V4.1 Flash, max thinking, same prompt, pixel size 1. Prompt adapted from @vib3coded's original post. Tokens are output plus reasoning. OpenCode counts the lead agent only; dsh cost is computed from tokens.
session-vault archives every AI agent session into one searchable SQLite file; search-fusion is a budget-aware web search plugin for Hermes. Both MIT.
Claude Opus reviews screenshots and writes the plan; DeepSeek's dsh agent writes the code. Same improvement for about a third of the cost.
Benchmarks of every practical local path for Qwen3.6 27B dense: oMLX, OptiQ, Ollama NVFP4/MXFP4, KV quantization, and long-context behavior. Low vs High Power.
Benchmarking local LLM runtimes in Low vs High Power mode. oMLX, Ollama, ds4, Gemma 4, and DeepSeek V4 Flash compared.