dongarandClaude Opus 5.5 4d9c1d7529
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Threads, commands and labels on the new loop (M2.3)
- Commands that name their item ("go #14", "abandon #14", "stop #14")
  apply to it wherever they're said; go, approve and abandon alone at top
  level are asked about (L5). stop is never taken as an answer.
- A plain-language reply to a restatement is read by GoAheadReader, one
  model call that agrees only on a clear yes; questions never reach it. The
  agent says "taking that as a go-ahead on rev-N" first, bound to the
  revision on screen at arrival (L3, L5, D1).
- Labels steer (D1): `bug` goes ahead after tuning.loop.bug_grace_s
  (default 600 s) unless the operator replies; `discuss` isn't offered
  restate until the operator has spoken; `bug`, `discuss` and `design` add
  to the driver's instructions. A restatement asks no questions.

Tests: label and command unit tests, the property walk with labelled
issues, plain yeses, named gos and time passing (grace_only_unanswered,
discuss_talks_first), and e2e tests for a bug proceeding after its grace
period and a plain-language go-ahead.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PPQ14L3LikyefCMFBqEbKE
2026-10-04 16:13:22 +00:00
2026-09-29 18:52:06 +00:00

Nisse

Two self-hosted AI agents sharing a common library, named for the Nordic farm spirit that keeps the place running overnight and expects to be treated well in return.

Package Role
nisse-core/ Shared library both agents sit on (Part L)
nisse-dev/ Dev Agent — plans and implements software projects (Part D)
nisse-ops/ Sysadmin Agent — operates infrastructure (Part O)

One repository, three packages. The library does not exist as code yet: it is extracted from nisse-dev once that agent works (build-order step 10), as a package split within this tree.

Architecture

The system-level specification lives at docs/Architecture.md. It covers the shared library, both agents, the supporting services, the build order, and the remaining open decisions.

S
Description
LLM Agents for specialized tasks.
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v0.1.0
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2026-10-07 22:39:30 +00:00
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