metatotai 0.0.1

metatotai — placeholder. Active-inference-driven meta tree-of-thought planning engine. Real implementation lands in 0.1.0.

metatotai

Status: name reserved. Real implementation arrives in 0.1.0.

metatotai will be an active-inference-driven meta tree-of-thought planning engine — a deterministic, replay-safe decision layer that consumes elume's cognitive substrate and linoss-dynamics physics primitives.

What this will be

• Active-inference engine — variational free energy + expected free energy computation, belief updates, policy scoring.
• Meta tree-of-thought planner — search and expansion over reasoning trajectories, scored by free-energy minimization rather than LLM-graded floats.
• Theory of mind — PartnerModel for inferring other agents' beliefs from observed behavior, built on elume.MentalModel.
• Provider-injected — LLMProvider, MemoryProvider, WorldModelProvider, TraceSink protocols. Bring your own backend.

What this is not

• Not a fork of kyegomez/Meta-Tree-Of-Thoughts. That is a LangChain-based prompt-rewriting meta-agent over LLM scoring; this is a different system. Zero shared code. Distinct name to avoid confusion.
• Not the original Tree of Thoughts (Yao et al. 2023). Different mechanism.

Layering

linoss-dynamics  ← physics primitive (NumPy)
       ↑
   elume         ← cognitive substrate (mental models, basins, evolution)
       ↑
   metatotai     ← active-inference + meta-ToT planning

Install (when 0.1.0 ships)

pip install metatotai

License

MIT.