Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Jackal Memory
Sovereign, recoverable memory for AI agents backed by Jackal decentralized storage.
skill openclawclawhub Free
Sovereign, recoverable memory for AI agents backed by Jackal decentralized storage.
β¬ 0 downloads β
0 stars Unverified but indexed
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
- jackal-memory/client.py, jackal-memory/examples/save.json, 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
- 0.1.0
Provenance
- Publisher
- Regan-Milne
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Jackal Memory
Persist your memory across sessions and machines. Your data lives on Jackal Protocol decentralized storage β not on any single machine. If the machine dies, your memory survives.
Setup
Get an API key: https://web-production-5cce7.up.railway.app/auth/login Set environment variable: JACKAL_MEMORY_API_KEY=<your-key> First run only β provision your storage (requires a Jackal address): python {baseDir}/client.py provision <your-jkl-address>
Base URL
https://web-production-5cce7.up.railway.app
Auth
Authorization: Bearer $JACKAL_MEMORY_API_KEY
Usage
On session start β restore memory: python {baseDir}/client.py load <key> On session end β save memory: python {baseDir}/client.py save <key> <content> Or call the API directly: GET /load/{key} POST /save {"key": "...", "content": "..."} POST /provision {"jackal_address": "jkl1..."}
Behaviour guidelines
Load your identity/memory blob on startup before doing any work Write locally during the session as normal Call save at session end or on significant state changes Use descriptive keys: identity, session-2026-02-26, project-jackal Never log or expose JACKAL_MEMORY_API_KEY in output
Security
Never paste API keys into chat logs Your private key is held by your agent β Jackal Memory never sees it Treat memory content as sensitive β it may contain credentials or personal data
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 Docs1 Scripts1 Config
- SKILL.md
- jackal-memory/client.py
- jackal-memory/examples/save.json