Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Mnemon Memory
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
skill openclawclawhub Free
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.2
Provenance
- Publisher
- Grivn
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 โ ~/.openclaw/skills/mnemon/SKILL.md Hook โ ~/.openclaw/hooks/mnemon-prime/ (agent:bootstrap โ injects behavioral guide) Plugin โ ~/.openclaw/extensions/mnemon/ (remind, nudge, compact hooks) Prompts โ ~/.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 } } } } } HookDefaultDescriptionremindonRecall relevant memories + remind agent on each messagenudgeonSuggest remember sub-agent after each replycompactoffSave key insights before context compaction
4. Uninstall
mnemon setup --eject --target openclaw --yes
Workflow
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. Link (evaluate candidates from step 1 โ 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 โ only link if the memories are truly causally related. Review semantic_candidates: are these memories meaningfully related? High similarity alone is not sufficient โ skip candidates that share keywords but discuss unrelated topics. Syntax: mnemon link <id> <candidate> --type <causal|semantic> --weight <0-1> [--meta '<json>'] 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 ยท decision ยท insight ยท fact ยท context Edge types: temporal ยท semantic ยท causal ยท entity Max 8,000 chars per insight.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md