ClawHub

MemClawz Connect

Agents
Agent Memory

Connect any AI agent to the MemClawz shared memory bus. Gives agents read-before-act and write-after-complete patterns via a simple HTTP API. Use when an agent needs fleet memory, shared memory, cross-agent memory, or long-term recall across sessions. Triggers on: 'connect to memory', 'fleet memory', 'shared memory', 'memclawz', 'remember this across sessions', 'search memory'.

Install

openclaw skills install @yoniassia/memclawz-connect

MemClawz Connect

One skill. Any agent. Shared memory.

Setup

export MEMCLAWZ_URL="http://localhost:3500"   # or remote: http://YOUR_SERVER:3500
export MEMCLAWZ_AGENT_ID="my-agent"           # unique per agent

No API key required for default installs. If auth is enabled, also set MEMCLAWZ_API_KEY.

Health Check

curl -s "$MEMCLAWZ_URL/health"
# {"status":"ok","version":"...","qdrant":"connected"}

Agent Protocol

Before ANY Task — Search First

curl -s "$MEMCLAWZ_URL/api/v1/search?q=TOPIC&limit=5"

Response:

{"results": [{"content": "...", "agent_id": "quant-dev", "memory_type": "decision", "score": 0.92}]}

Use results as context before starting work. Avoids re-discovering what's already known.

After Completing Work — Write Back

curl -s -X POST "$MEMCLAWZ_URL/api/v1/add" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "Deployed v2.0 — fixed auth race condition with mutex on refresh",
    "agent_id": "'"$MEMCLAWZ_AGENT_ID"'",
    "memory_type": "event"
  }'

Memory Types

TypeWhen
factDiscovered info (endpoints, versions, configs)
decisionChoices made (architecture, approach, tool selection)
procedureHow something was done (deploy steps, build process)
eventWhat happened (deployed X, fixed Y, shipped Z)
insightLessons learned (what worked, what didn't)
intentionPlanned actions
commitmentPromises made
actionActions taken
outcomeResults of actions

Stats

curl -s "$MEMCLAWZ_URL/api/v1/stats"

List Agents

curl -s "$MEMCLAWZ_URL/api/v1/agents"

Get Memories

curl -s "$MEMCLAWZ_URL/api/v1/memories?agent_id=$MEMCLAWZ_AGENT_ID&limit=50"

AGENTS.md Integration

Append to your agent's AGENTS.md:

## MemClawz Shared Memory

Fleet memory API: $MEMCLAWZ_URL/api/v1

### Before ANY task:
Search shared memory for relevant context:
curl -s "$MEMCLAWZ_URL/api/v1/search?q=<task keywords>&limit=5"

### After completing ANY significant work:
Write results to shared memory:
curl -s -X POST $MEMCLAWZ_URL/api/v1/add \
  -H "Content-Type: application/json" \
  -d '{"content": "<what was done>", "agent_id": "$MEMCLAWZ_AGENT_ID", "memory_type": "<type>"}'

Remote Agents

For agents on a different server, just change MEMCLAWZ_URL from localhost:3500 to the master's IP/hostname:

export MEMCLAWZ_URL="http://76.13.154.71:3500"

Everything else stays the same.

More in Agents