Memory Harness

Record, replay, and benchmark real agent sessions against do-memory-cli.

Modes

Record Mode

# Create trace file
TRACE_DIR=".memory-traces"
mkdir -p "$TRACE_DIR"
TRACE_FILE="$TRACE_DIR/$(date +%Y%m%d-%H%M%S)-$(echo "$TASK" | tr ' ' '-' | head -c 40).json"

# Create episode via CLI
EPISODE_ID=$(do-memory-cli --format json episode create --task "$TASK" --domain "$DOMAIN" 2>/dev/null | jq -r '.id')

# Write trace header
echo '{"version":"1.0","episode_id":"'$EPISODE_ID'","steps":[]}' > "$TRACE_FILE"

# Log steps (after each tool use)
do-memory-cli episode log-step "$EPISODE_ID" --tool "$TOOL" --action "$ACTION" --latency-ms "$MS" --success

# Complete episode
do-memory-cli episode complete "$EPISODE_ID" success

Replay Mode

# Single trace replay (script in skill directory)
bash .agents/skills/memory-harness/replay-trace.sh "$TRACE"

# All traces
for trace in .memory-traces/*.json; do bash replay-trace.sh "$trace"; done

Evaluate Mode

Measure learning effectiveness over N episodes:

• Pattern count should increase with more data
• Search latency should stay <100ms
• Retrieval relevance should improve

Tools to Record

Trace Format

{
  "version": "1.0",
  "episode_id": "...",
  "steps": [{"tool":"read","action":"...","latency_ms":12,"success":true}]
}

Performance Targets