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Vestige

Cognitive memory system using FSRS-6 spaced repetition. Memories fade naturally like human memory. Use for persistent recall across sessions.

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High Signal

Cognitive memory system using FSRS-6 spaced repetition. Memories fade naturally like human memory. Use for persistent recall across sessions.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

Vestige Memory Skill

Cognitive memory system based on 130 years of memory research. FSRS-6 spaced repetition, spreading activation, synaptic taggingβ€”all running 100% local.

Binary Location

~/bin/vestige-mcp ~/bin/vestige ~/bin/vestige-restore

When to Use

Persistent memory across sessions User preferences ("I prefer TypeScript", "I always use dark mode") Bug fixes and solutions worth remembering Project patterns and architectural decisions Reminders and future triggers

Search Memory

echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search","arguments":{"query":"user preferences"}}}' | ~/bin/vestige-mcp 2>/dev/null | jq -r '.result.content[0].text // .error.message'

Save Memory (Smart Ingest)

echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"smart_ingest","arguments":{"content":"User prefers Swiss Modern design style for presentations","tags":["preference","design"]}}}' | ~/bin/vestige-mcp 2>/dev/null | jq -r '.result.content[0].text // .error.message'

Simple Ingest

echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"ingest","arguments":{"content":"TKPay Offline project: POC 2 months, MVP 2 months, budget 250K DH","tags":["project","tkpay"]}}}' | ~/bin/vestige-mcp 2>/dev/null | jq -r '.result.content[0].text // .error.message'

Check Stats

~/bin/vestige stats

Health Check

~/bin/vestige health

MCP Tools Available

ToolDescriptionsearchUnified search (keyword + semantic + hybrid)smart_ingestIntelligent ingestion with duplicate detectioningestSimple memory storagememoryGet, delete, or check memory statecodebaseRemember patterns and architectural decisionsintentionSet reminders and future triggerspromote_memoryMark memory as helpful (strengthens)demote_memoryMark memory as wrong (weakens)

Trigger Words

User SaysAction"Remember this"smart_ingest immediately"Don't forget"smart_ingest with high priority"I always..." / "I never..."Save as preference"I prefer..." / "I like..."Save as preference"This is important"smart_ingest + promote_memory"Remind me..."Create intention

Session Start Routine

At the start of conversations, search for relevant context: # Search user preferences echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search","arguments":{"query":"user preferences instructions"}}}' | ~/bin/vestige-mcp 2>/dev/null | jq -r '.result.content[0].text' # Search project context echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search","arguments":{"query":"current project context"}}}' | ~/bin/vestige-mcp 2>/dev/null | jq -r '.result.content[0].text'

Helper Script

For easier usage, create ~/bin/vmem: #!/bin/bash # Vestige Memory Helper ACTION=$1 shift case $ACTION in search) echo "{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"tools/call\",\"params\":{\"name\":\"search\",\"arguments\":{\"query\":\"$*\"}}}" | ~/bin/vestige-mcp 2>/dev/null | jq -r '.result.content[0].text // .error.message' ;; save) echo "{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"tools/call\",\"params\":{\"name\":\"smart_ingest\",\"arguments\":{\"content\":\"$*\"}}}" | ~/bin/vestige-mcp 2>/dev/null | jq -r '.result.content[0].text // .error.message' ;; stats) ~/bin/vestige stats ;; *) echo "Usage: vmem [search|save|stats] [content]" ;; esac

Data Location

macOS: ~/Library/Application Support/com.vestige.core/ Linux: ~/.local/share/vestige/ Embedding cache: ~/Library/Caches/com.vestige.core/fastembed/

Integration Notes

Vestige complements the existing memory/ folder system: memory/*.md = Human-readable daily logs MEMORY.md = Curated long-term notes Vestige = Semantic search + automatic decay + spaced repetition Use Vestige for: Things you want to recall semantically (not just keyword search) Preferences that should persist indefinitely Solutions worth remembering (with automatic decay if unused)

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc