Deterministic verifiable reasoning engine — solves hard math, verifies logic, retrieves cited knowledge, and detects semantically-near token waste — with zero hallucination, because the answers are computed, not guessed.
- Symbolic math oracle — deterministic SymPy solver: integrals, systems, Fibonacci, primes, modular arithmetic, inequality. Verifies true claims (
2 + 2 = 4→ TRUE), refutes false ones (2 + 2 = 5→ REFUTED, with witnesses), and honestly abstains on what it can't prove. - Logic engine — modus ponens/tollens, syllogism, conjunction, double-negation.
verified / invalid / insufficient— never guesses. - Cited knowledge — known theorems (Euclid, Fermat, etc.), science facts, Python knowledge. Retrieval with citations, not generation.
- Semantic token intelligence — the secret engine (gematria projection + fixed-parameter attention + trained latent adapter) runs server-side and returns only numbers. It finds the near-duplicate token waste exact-dedupe misses.
┌────────────────────────────────────────────────────────────┐
│ DeeperThawt (pip package, local) │
│ │
│ · math oracle (deterministic, SHIPPED) │
│ · logic engine (deterministic, SHIPPED) │
│ · cited knowledge (deterministic, SHIPPED) │
│ · semantic RPC client (numeric-only, SHIPPED) │
│ ╭───────────────────╮ │
└────────────────────────┤ POST /assess │───────────────┘
│ (de-identified) │
│ ▼ │
│ REMOTE server │
│ · gematria proj. │ ══ THE SECRET ══
│ · attention │ engine + tuned
│ · trained adapter│ weights live
│ · tuned weights │ ONLY HERE
╰───────────────────╯
The secret ingredients — the semantic projection method, the fixed-parameter attention, the trained latent adapter, and the tuned weights — are never shipped locally. A local buyer gets a pip package with the deterministic solvers and a thin RPC client; the secret engine runs only on the remote DeeperThawt server behind a paid entitlement gate, returning numbers only.
As of v2.0.0, the deterministic engine ships with a built-in no-LLM HTTP service
(deeperthawt.service). Run it locally:
python -m deeperthawt.service # http://127.0.0.1:8105
# THAWT_HOST / THAWT_PORT / THAWT_API_KEY (optional bearer) / THAWT_DEBUGEndpoints: /healthz, /v1/math/verify, /v1/math/solve, /v1/logic/verify,
/v1/knowledge/{theorem,science,python}, /v1/semantic/assess,
/v1/evidence (measured token-cost intelligence), /v1/capabilities.
Merge note (2026-08-29): this service folds in the former
thawt-apirepo and calls the localDeeperThawtengine directly (the thawt-api repo carried byte-identical copies of the same engine files — a dual-vendor hazard now removed).token-analyticsis wired in as the deterministic/v1/evidencedata product. One product, one engine, one deployable service.
pip install deeperthawt
# or from source:
git clone https://github.com/sudo-ai-git/deeperthawt.git
cd deeperthawt && pip install -e .from deeperthawt import DeeperThawt
engine = DeeperThawt()
# Hard math — deterministic, no LLM guessing
engine.solve_math("integral of x^2 from 0 to 1") # solved, 1/3
engine.solve_math("2 + 2 = 5") # refuted, with witness
engine.solve_math("2 + 2 = 4") # verified True
# Logic
engine.verify_logic(
["if it rains then the ground is wet", "it rains"],
"the ground is wet") # {"status": "valid"}
# Cited knowledge
engine.knowledge_math_theorem("infinitely many primes") # Euclid, cited
engine.knowledge_science("why is the sky blue") # fact + reference
# Semantic token intelligence — runs on the REMOTE server
engine = DeeperThawt(api_base="https://mcp-token-saver-pro.fly.dev")
engine.semantic_assess([...messages...]) # returns numbers onlydeeperthawt math "integral of x^2 from 0 to 1"
deeperthawt logic "if it rains then the ground is wet; it rains" "the ground is wet"
deeperthawt theorem "infinitely many primes"
deeperthawt science "why is the sky blue"
deeperthawt python "list comprehension"
deeperthawt selfcheck # 8/8 capability smoke test- Deterministic — same input → same answer, every time. No stochastic LLM in the scoring path. You can re-run and reproduce.
- No hallucination — the engine solves/verifies/refutes what it can prove, and abstains (says "not verifiable") on what it can't. It never invents an answer.
- Opaque but auditable — the deterministic solvers are open (AGPL). The semantic engine is server-side; you see the contract and the number, not the method.
- What it doesn't claim — DeeperThawt does not generate prose, write code, or "reason" generally. It computes and verifies. The claims on this page are about provable operations.
- Open core (AGPL-3.0): the deterministic solvers (math, logic, knowledge) are open source under AGPL.
- Commercial license: for embedding DeeperThawt inside a closed-source product or SaaS without AGPL obligations. View the full commercial grant in
LICENSE.commercial.md.
For a commercial license, contact the maintainer via the landing page.
© 2026 DeeperThawt maintainer.