/install agent-shared-context
Agent Relay — Cross-Agent Context Sharing
Lightweight file-based coordination for multi-agent OpenClaw setups.
Problem
Agents run independently — Reddit doesn't know what Moltbook found, News doesn't know what's trending on HN. Each agent is an island.
Solution
Shared JSON files that agents write to and read from. No config changes needed — just files on disk.
Setup
# Create shared directory in workspace
mkdir -p ~/.openclaw/workspace/shared
# Script location
~/.openclaw/workspace/scripts/shared-context.py
Usage
Agent writes after finishing work:
# Reddit agent logs trending topic
python3 scripts/shared-context.py add-trend \
--source reddit --topic "self-hosting mini PCs" --score 1500
# News agent logs highlight
python3 scripts/shared-context.py add-highlight \
--source news --title "Unsloth Studio launched" \
--summary "Open-source LLM training UI, 2x faster"
Agent reads before acting:
# Moltbook agent checks what's trending before posting
python3 scripts/shared-context.py get-trends --limit 5
# Any agent checks recent highlights
python3 scripts/shared-context.py get-highlights --limit 5
Cleanup (brain-maintenance cron):
# Remove entries older than 48 hours
python3 scripts/shared-context.py cleanup --hours 48
Integration into cron prompts
Add to any agent's cron prompt:
Before posting/engaging, check shared context:
exec('python3 /path/to/scripts/shared-context.py get-trends --limit 3')
→ If a trend is relevant to this platform, create content about it.
After finishing, log what you found:
exec('python3 /path/to/scripts/shared-context.py add-trend --source \x3Cagent> --topic "\x3Cfinding>" --score \x3Crelevance>')
Files
| File | Purpose |
|---|---|
shared/trends.json |
Topics trending across platforms |
shared/highlights.json |
Best content found by any agent |
scripts/shared-context.py |
CLI to read/write shared context |
Architecture
Reddit ──write──→ shared/trends.json ←──read── Moltbook
News ──write──→ shared/highlights.json ←──read── Clawstr
↑
brain-maintenance (cleanup)
No database. No message queue. Just JSON files on disk. Works because all agents run on the same machine.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install agent-shared-context - After installation, invoke the skill by name or use
/agent-shared-context - Provide required inputs per the skill's parameter spec and get structured output
What is Agent Shared Context?
Cross-agent context sharing via shared files. Agents write trends, highlights, and signals to a shared folder. Other agents read before acting — creating coo... It is an AI Agent Skill for Claude Code / OpenClaw, with 148 downloads so far.
How do I install Agent Shared Context?
Run "/install agent-shared-context" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Agent Shared Context free?
Yes, Agent Shared Context is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Agent Shared Context support?
Agent Shared Context is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Agent Shared Context?
It is built and maintained by Gum97 (@gum97); the current version is v1.0.0.