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mnemon

// Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.

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stars:1,933
forks:367
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namemnemon
descriptionPersistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
metadata[object Object]

mnemon

Install & Configure

1. Install the binary

Homebrew (macOS / Linux):

brew install mnemon-dev/tap/mnemon

Go install:

go install github.com/mnemon-dev/mnemon@latest

2. Set up OpenClaw integration

mnemon setup --target openclaw --yes

This single command deploys all components:

  • Skill~/.openclaw/skills/mnemon/SKILL.md
  • Hook~/.openclaw/hooks/mnemon-prime/ (agent:bootstrap — injects behavioral guide)
  • Plugin~/.openclaw/extensions/mnemon/ (remind, nudge, compact hooks)
  • Prompts~/.mnemon/prompt/ (guide.md, skill.md)

Restart the OpenClaw gateway to activate.

3. Customize (optional)

Edit ~/.mnemon/prompt/guide.md to tune recall/remember behavior.

Plugin hooks are configured in ~/.openclaw/openclaw.json:

{
  "plugins": {
    "entries": {
      "mnemon": {
        "enabled": true,
        "config": {
          "remind": true,
          "nudge": true,
          "compact": false
        }
      }
    }
  }
}
HookDefaultDescription
remindonRecall relevant memories + remind agent on each message
nudgeonSuggest remember sub-agent after each reply
compactoffSave key insights before context compaction

4. Uninstall

mnemon setup --eject --target openclaw --yes

Workflow

  1. Remember: mnemon remember "<fact>" --cat <cat> --imp <1-5> --entities "e1,e2" --source agent
    • Diff is built-in: duplicates skipped, conflicts auto-replaced.
    • Output includes action (added/updated/skipped), semantic_candidates, causal_candidates.
  2. Link (evaluate candidates from step 1 — use judgment, not mechanical rules):
    • Review causal_candidates: does a genuine cause-effect relationship exist? causal_signal is regex-based and prone to false positives — only link if the memories are truly causally related.
    • Review semantic_candidates: are these memories meaningfully related? High similarity alone is not sufficient — skip candidates that share keywords but discuss unrelated topics.
    • Syntax: mnemon link <id> <candidate> --type <causal|semantic> --weight <0-1> [--meta '<json>']
  3. Recall: mnemon recall "<query>" --limit 10

Commands

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 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

  • Use the exec tool to run mnemon commands.
  • Do not store secrets, passwords, or tokens.
  • Categories: preference · decision · insight · fact · context
  • Edge types: temporal · semantic · causal · entity
  • Max 8,000 chars per insight.