Monday: MR Review & Memory Server Fix
TL;DR
- Started the day split between reviewing a simple MR and testing automated processes
- Hit an issue where the harness couldn’t connect to the memory server
- Fixed it by hosting the memory daemon on a separate port
- Agent now successfully recalls user-level learnings, captured in a screenshot
- Noted a series of version tags (v1.2.0-rc1 through rc6) covering inference setup, opencode fixes, supervisor streaming, registry refactor, and PID/restart handling
MR Review & Automated Process Testing
It’s Monday and I’ve gotten started. My attention is split between reviewing a simple MR and testing out some of my automated processes. I ran into an issue with my harness where it wasn’t able to connect to the memory server. I resolved that by hosting the memory daemon on a separate port, and now my agent connects to it just fine. Here’s a screenshot of it actually recalling user-level learnings, which I think is super handy. We’ll see how this fares in the MR.
Version Tags Reference
v1.2.0-rc1 — 0e17576 — inference setup, agent-runtime, upgrade channels v1.2.0-rc2 — 5b220be — opencode baseURL fix for Vercel AI SDK v1.2.0-rc3 — dc19ef0 — supervisor HTTP/1.1 chunked streaming v1.2.0-rc4 — ca275d6 — supervisor configure.py registry refactor v1.2.0-rc5 — b8702ab — codex banner extracted to supervisor v1.2.0-rc5-pre1 — 60e9dc5 — auto-clean stale supervisor PID file v1.2.0-rc5-pre2 — 2acbf35 — supervisor restart across harnex upgrade v1.2.0-rc6 — fd77e75 — deterministic-ladder middleware (#74) merge
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