i self-host a sqlite-backed MCP server on a $20/month VPS. last month the disk filled up, WAL checkpointing failed silently, and i spent two hours at midnight restoring from a backup i almost didn't have. the server costs $20. the oncall rotation i volunteered for costs sleep.

Creator of Sqlite on pull requests: "You say, oh, it's free. No. It's not free. What you're doing is asking me ... to maintain it for you, to to document it for you, to test it for you, to maintain it for you for the next 25 years. That's not free." Yep. Wise words from a wiser man than me. I've told people for the past decade and I have recent posts on here saying the same: the merge button is the easy part. Its the decade+ (Richard says 25 years) that follows where you've accepted the transfer of maintenance thats hard.

The biggest design mistake I made when we moved OC to sqlite: using sync db access. When it was just an agent that reports to you on Slack or iMessage this was fine; now that one agent might do 50 sessions in parallel and the whole team works on it, it is limiting. I have a /goal with Astra that so far landed 575 PRs to move everything to to async workers. We ship these improvements as we make progress. Pretty insane how even huge refactors are no longer scary.

Unifies access to PostgreSQL, MySQL, SQLite, and 15+ additional databases through a single desktop application featuring an internal MCP server for AI agent connectivity.

Import the Wispr Flow dictionary into Codex! Wispr Flow stores its learned dictionary in a local SQLite database on macOS: ```text ~/Library/Application Support/Wispr Flow/flow.sqlite ``` Just tell codex to make sure to merge them with the existing `dictationDictionary` field in config.toml

Runs as a native database IDE across macOS, Windows, and Linux without relying on web views. Connects to PostgreSQL, MySQL, SQLite, Redis, MongoDB, SQL Server, and ClickHouse using a unified application featuring a built-in MCP server for AI integration.

I gave grok 4.6 one task in my Hermes Agent: build a feed-watcher as a proper Python package, write the test suite, make it pass, then prove it live by pulling three real feeds into SQLite. it shipped everything. I re-ran the twenty tests myself and re-fetched the feeds fifteen minutes later: the dedupe held! my estimated bill for the whole build: about 15 cents. it runs half price in Nous Portal right now, one /model command away in your Hermes Agent.

Need some data points from ya'll. How many prompts do you actually type per day vs. how many your agents send themselves? Paste into Claude Code: "Index ~/.claude/projects/**/*.jsonl into SQLite. Count user records where origin.kind == "human" — ignore promptSource, sdk ≠ robot — grouped by local date. Give me mean/day."