From the last (successful) TypeType deploy session, two gaps the operator hit:
1. Knowledge write-back — the missing half of the loop.
The agent could read the knowledge base (search_knowledge/get_entity_knowledge)
but had no way to WRITE it, so everything it learned (the Dragonfly memlock
rlimit gotcha, the NAT-hairpin DNS issue, etc.) lived only in an ephemeral
chat message and was lost — the system could never actually "get better."
This is the `upsert_knowledge` MCP tool the 2026-07-08 gaps plan called for.
- internal/mcp/server.go: upsert_knowledge(title, content, about?, tags?,
kind?) writes a document/investigation/runbook entity + knowledge_entities
row (search column is generated), upserts by slug so re-titling updates in
place, and optionally links it to the entity it's about so
get_entity_knowledge surfaces it there.
- SOUL.md: capture non-obvious findings/deploys/gotchas as part of finishing
work, not only when asked "what did we learn".
2. "I had to ask for status multiple times."
The clearest cause: a long working turn (64 tool calls) that exhausted the
iteration cap ended with a bare "max iterations reached without final
answer" — a dead end that forced the operator to ask what happened.
- cmd/nomos/agent.go: on exhaustion, make one final no-tools LLM call
(finalSummary) asking for a status report — what was accomplished, current
state, what remains — so the turn always ends with a real outcome.
- maxIterations 25 -> 40 (the decomposed per-step pct_create flow legitimately
needs more steps).
- SOUL.md: always end a turn with a clear outcome; never end silently or on a
bare tool call — the operator can't see the tools working and reads silence
as "nothing happened".
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
dtoro
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