c474c9404b
- Message list now shows agent_name via get_agent_name method - New scripts/export_agent_daily.py for agent daily message export - Accepts --agent and --date (YYYY-MM-DD) arguments - Focuses on messages within target date (session may span multiple days) - Outputs Markdown with session info, messages, tool calls
agent-base
OpenClaw Session Archive - 多 Agent 会话解析与归档系统。
Architecture
Three nodes (Mac Mini, Ubuntu1, Ubuntu2) run a sync script that parses local JSONL session files and pushes structured data to a central Django API. The Django service runs in Docker Compose and stores data in a remote PostgreSQL + TimescaleDB instance on NAS.
Quick Start
# 1. Configure environment
cp .env.example .env
# Edit .env with your database credentials and Django settings
# 2. Build and start
docker compose build
docker compose run --rm web python manage.py migrate
docker compose run --rm web python manage.py createsuperuser
docker compose up -d
# 3. Access
# Django Admin: http://<host>:8000/admin/
# API: http://<host>:8000/api/sessions/bulk_upsert/
Running Tests
pip install -r requirements-dev.txt
pytest -v
Client Sync Script
Deploy scripts/sync_sessions.py on each node:
python sync_sessions.py --remote-url http://<django-host>:8000/api/sessions/bulk_upsert/
Set SOURCE_NODE environment variable on each node (macmini, ubuntu1, ubuntu2).
Daily Export
In Django Admin, select sessions and choose "Export selected sessions to Markdown" action.