dongarandClaude Fable 5 4319882f35
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Add durable state store and boot-time reconciliation (A2/A3)
Build-order step 1: the critical path everything else sits on.

- StateStore: SQLite in WAL mode with synchronous=FULL, so every
  state transition and intent-log write is committed and fsynced
  before returning; a power cut cannot tear state
- Durable intent log: begin_intent records a unit of work before it
  starts; commit/abort resolve it; pending intents survive restart
- schema_version stamped from the first commit, with a sequential
  migration hook; a newer state file than the code supports is
  refused rather than misread
- reconcile_on_boot (A3 first cut): pending intents are checked
  against external truth by registered reconcilers (observable
  checks, never model self-assessment); verified effects are
  committed, verified no-ops aborted, anything unverifiable gates
  to AWAIT_INPUT — never blind-resume
- Lives in nisse_dev per spec 0.1: the library is extracted after
  the dev agent works, not designed up front
- Integration test kills a subprocess mid-work with os._exit and
  verifies state integrity and intent visibility on reopen

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-09-05 18:59:15 +00:00
2026-09-04 22:26:41 +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 A)
nisse-dev/ Dev Agent — plans and implements software projects (Part B)
nisse-ops/ Sysadmin Agent — operates infrastructure (Part C)

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-Build-Spec.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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