Auto-detect RAILWAY_VOLUME_MOUNT_PATH and use it for all persistent data
(agent ID, cron jobs, logs). On local machines, data stays in project
directory. Template now includes volume by default.
- Add src/utils/paths.ts with getDataDir() and getWorkingDir() helpers
- Update Store, cron service, CLI tools to use data directory
- Log storage locations on startup for debugging
- Update deploy button URLs with UTM tracking
Written by Cameron ◯ Letta Code
"The best way to predict the future is to invent it." - Alan Kay
* feat: add Railway deployment support with agent auto-discovery
- Add railway.toml for build/deploy config with health checks
- Skip config file requirement when RAILWAY_ENVIRONMENT detected
- Auto-discover existing agent by name on container deploys
- Add findAgentByName() API function for agent lookup
- Add setAgentId() method to LettaBot class
- Add comprehensive Railway deployment docs
One-click deploy flow:
1. Set LETTA_API_KEY + channel tokens
2. LettaBot finds existing agent by AGENT_NAME (default: "LettaBot")
3. If not found, creates on first message
4. Subsequent deploys auto-reconnect to same agent
Written by Cameron ◯ Letta Code
"The best way to predict the future is to deploy it." - Railway, probably
* fix: specify Node 22 for Railway deployment
* fix: fail fast if LETTA_API_KEY is missing
* fix: don't await Telegram bot.start() - it never resolves
* fix: extract message from send_message tool call
* Revert "fix: extract message from send_message tool call"
This reverts commit 370306e49de3728434352d2df1b78c744e888833.
* fix: clear LETTA_AGENT_ID env var when agent doesn't exist
* docs: add Railway deploy button to README and docs
* fix: .nvmrc newline and correct MODEL default in docs
