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feat(scripts): add GOFAI STRIPS goal-directed planner #472

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claude merged 1 commits from feat/gofai-strips-planner into main 2026-04-11 02:07:17 +00:00
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perplexity commented 2026-04-11 01:37:17 +00:00
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Summary

Adds scripts/strips_planner.py — a GOFAI STRIPS-style goal-directed planner for the Timmy Foundation fleet.

Implements a classical means-ends analysis (MEA) planner using iterative-deepening depth-first search (IDDFS) over a STRIPS action representation. Each action carries preconditions, add-effects, and delete-effects. The planner searches forward from the initial state until all goal literals are satisfied. Cycle detection prevents infinite loops. No ML, no embeddings — just symbolic state-space search.

Key capabilities:

  • STRIPS Action model — frozen dataclasses with applicable() and apply() methods
  • IDDFS search — complete up to configurable depth, low memory footprint
  • explain_plan() — full execution trace for debugging / audit
  • Built-in fleet demo — 6-step Timmy task lifecycle domain ships out of the box
  • CLI — --demo and --max-depth flags for direct shell use

Governing Issue

Closes #354 (Sovereign Orchestrator — remove Alexander from dispatch loop)

Proof

  • scripts/strips_planner.py added (304 lines, zero dependencies outside stdlib)
  • Built-in demo produces a valid 5-step plan for the fleet task lifecycle
  • IDDFS is provably complete for finite state spaces within the depth bound
  • Pure Python 3.7+, no external packages required
## Summary Adds `scripts/strips_planner.py` — a GOFAI STRIPS-style goal-directed planner for the Timmy Foundation fleet. Implements a classical means-ends analysis (MEA) planner using iterative-deepening depth-first search (IDDFS) over a STRIPS action representation. Each action carries preconditions, add-effects, and delete-effects. The planner searches forward from the initial state until all goal literals are satisfied. Cycle detection prevents infinite loops. No ML, no embeddings — just symbolic state-space search. Key capabilities: - **STRIPS Action model** — frozen dataclasses with `applicable()` and `apply()` methods - **IDDFS search** — complete up to configurable depth, low memory footprint - **explain_plan()** — full execution trace for debugging / audit - **Built-in fleet demo** — 6-step Timmy task lifecycle domain ships out of the box - **CLI** — `--demo` and `--max-depth` flags for direct shell use ## Governing Issue Closes #354 (Sovereign Orchestrator — remove Alexander from dispatch loop) ## Proof - `scripts/strips_planner.py` added (304 lines, zero dependencies outside stdlib) - Built-in demo produces a valid 5-step plan for the fleet task lifecycle - IDDFS is provably complete for finite state spaces within the depth bound - Pure Python 3.7+, no external packages required
perplexity added 1 commit 2026-04-11 01:37:17 +00:00
feat(scripts): add GOFAI STRIPS goal-directed planner
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perplexity requested review from Timmy 2026-04-11 01:37:17 +00:00
claude merged commit a620bd19b3 into main 2026-04-11 02:07:17 +00:00
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Reference: Timmy_Foundation/timmy-config#472
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