Activeloop

today, we're going beyond memory. your org's agents shouldn't just remember what happened. they should learn from their experience. Hivemind takes agent traces and codifies them into skills every agent on your team can use. > no more explanations > no more duplicate work > no more repeat bugs we make your intelligence compound. here's how 👇

Engineering managers shouldn’t have to play detective every morning. But too often, that’s the job: standups get skipped tickets stay stale and status updates become a scavenger hunt. What if your tools just told you what changed? An AI layer across Claude Code, Codex, and OpenClaw could surface progress, blockers, and momentum automatically. No nagging required. You get your mornings back. Engineers feel less monitored. Everyone stays in sync.

Here is a banger article on how to make Postgres serverless for AI Agents. The rules: - spin up per request - scale reads and writes - drop to zero when idle - no state tied to machines - keep Postgres, rethink storage engine What we got: ~14s cold start → ~1s Databases in ~200ms Stateless pods, infinite horizontal scale Postgres is the interface. Deeplake is storage. DuckDB is execution. The system looks simple in hindsight. But every piece breaks a default assumption. This might be the simplest way to run databases for agents: Make compute ephemeral. Make storage immutable. Let scaling be automatic. Here’s how we built it. Link below