OpenClaw¶
Engram has deep integration with OpenClaw — both as an MCP server and via real-time session capture.
MCP Setup¶
Install the engram skill in OpenClaw, then add to OpenClaw's MCP configuration:
{
"mcpServers": {
"engram": {
"command": "engram-mcp",
"env": { "GEMINI_API_KEY": "your-key" }
}
}
}
Session Capture¶
Engram can watch OpenClaw's session files and automatically ingest conversation context into memory. Enable in ~/.engram/config.yaml:
Start the watcher daemon:
The watcher uses inotify/watchdog to monitor JSONL session files in real time. It captures:
- Text blocks from assistant turns
- Message-sending tool calls
- Skips thinking blocks, trivial messages (< 20 chars), and generic tool calls
How Session Capture Works¶
flowchart LR
OC["OpenClaw\nSession Files\n(JSONL)"] -->|inotify| Watcher["engram watch"]
Watcher --> Classifier["Memory Classifier\n(heuristic)"]
Classifier --> Filter["Entity Gate\n(skip noise)"]
Filter --> Ingest["EpisodicStore\n+ SemanticGraph"]
Each captured message is classified by type (fact, decision, preference, todo, error, workflow, lesson) using a heuristic regex classifier — no LLM cost at capture time.
OpenClaw Memory Files as Federation Provider¶
Engram auto-discovers OpenClaw's workspace memory files as a federated provider:
This means engram recall will also search OpenClaw's memory markdown files alongside engram's own stores.
Per-File Threading¶
The watcher uses per-file threading.Lock to prevent duplicate inotify captures when files are written rapidly.
Verify¶
Check that the watcher is running and capturing sessions correctly.