mnemon

# mnemon Use `mnemon` when durable memory can materially improve continuity across Hermes sessions. Hooks may inject recalled context before an LLM call, but the agent decides what is worth storing. ## Workflow 1. Recall when prior decisions, preferences, or facts may affect the current task: `mnemon recall "<query>" --limit 10` 2. Remember only stable, reusable knowledge: `mnemon remember "<fact>" --cat <cat> --imp <1-5> --entities "e1,e2" --source agent` 3. Link related memories after reviewing candidates from `remember`: `mnemon link <id> <candidate> --type <causal|semantic> --weight <0-1>` ## Commands ```bash mnemon remember "<fact>" --cat <cat> --imp <1-5> --entities "e1,e2" --source agent mnemon link <id1> <id2> --type <type> --weight <0-1> [--meta '<json>'] mnemon recall "<query>" --limit 10 mnemon search "<query>" --limit 10 mnemon import --dry-run <file> mnemon import <file> mnemon forget <id> mnemon related <id> --edge causal mnemon gc --threshold 0.4 mnemon gc --keep <id> mnemon status mnemon log mnemon store list mnemon store create <name> mnemon store set <name> mnemon store remove <name> ``` ## Guardrails - Do not store secrets, passwords, tokens, private keys, or short-lived operational noise. - Prefer concise insights over transcript dumps. - Categories: `preference` · `decision` · `insight` · `fact` · `context` - Edge types: `temporal` · `semantic` · `causal` · `entity` - Max 8,000 chars per insight.