Licensing. ECHIDNA is licensed in four parts: application code under AGPL-3.0-or-later; the machine-readable specification surface (.machine_readable/, manifests, OCI labels) under MPL-2.0, deliberately weak-copyleft so it stays usable for interoperability and standards work; documentation under CC-BY-SA-4.0; and echidna-playground/ under MPL-2.0. The combined work distributes as AGPL-3.0-or-later — run a modified ECHIDNA as a network service and you must offer your users the modified source. MPL §3.3 (Secondary Licenses) is what makes the MPL parts compatible inside the AGPL work. Full statement: NOTICE.

*E*xtensible *C*ognitive *H*ybrid *I*ntelligence for *D*eductive *N*eural *A*ssistance

A neurosymbolic theorem-proving platform with a trust-hardened verification pipeline, multi-objective proof search, and a polyglot backend surface (Rust core + Julia ML + Idris2 ABI + Zig FFI + optional Chapel parallel layer).

Backend tiering, count semantics (variants vs. impl files vs. advertised vs. core), and "what’s the canonical number" answers live in a single source of truth: docs/PROVER_COUNT.md. The REST API (GET/api/provers) exposes the Tier-1 core set by default; all other backends are reachable through ProverKind and the dispatch pipeline. See docs/SUPPORTED_PROVERS.md for the core list, required external binaries, and how to surface additional backends through the API.

• Trust-hardened pipeline — every proof passes through solver integrity verification, axiom tracking, certificate checking, and Bayesian confidence scoring before the result is returned.

• Cross-prover arbitration — mathematical object identity resolution across heterogeneous prover backends; four arbitration mechanisms (portfolio majority-vote, Bayesian posterior, Dempster-Shafer belief combination, Pareto multi-objective frontier) see the Arbitration section below.

• Neurosymbolic architecture — Julia ML layer suggests tactics; formal provers always have the final word.

• Cross-prover proof exchange — universal interchange across six formats: OpenTheory, Dedukti, TPTP, SMT-LIB, SMTCoq, Lambdapi (src/rust/exchange/).

• 17 corpus adapters — every major public proof corpus has a structural ingest path. See Corpus Coverage.

• Axiom-usage tracking — four danger levels (Safe, Noted, Warning, Reject) applied uniformly across every backend.

ECHIDNA orchestrates theorem provers, SMT solvers, first-order ATPs, and constraint solvers through a unified Rust core. Every proof result passes through a trust-hardening pipeline that checks solver integrity, tracks axiom usage, verifies proof certificates, and assigns a 5-level confidence score.

Neural premise selection (via Julia) suggests tactics; formal provers always have the final word. ECHIDNA never reports a proof as verified without the underlying backend agreeing. The neurosymbolic and formal-verification layers are wired so the ML suggestion path can only ever accelerate a proof attempt — never substitute for one.

The Idris2 ABI layer (src/abi/EchidnaABI/) carries the type-level specifications and totality proofs that pin the on-wire contracts between the Rust dispatcher, the Julia GNN ranker, and the Chapel parallel rank-merge — including the fixed-point ConfidenceFP encoding with its round-trip and total-order properties (zero believe_me, zero postulates, zero admits).

The Tier-1 core set is what GET/api/provers exposes by default and what is required to pass for green CI; the live membership list is ProverKind::all_core() in src/rust/provers/mod.rs, mirrored in human-readable form at docs/SUPPORTED_PROVERS.md (with required external binaries and install hints). The remaining tiers (extended, niche, Wave-3 secured, Wave-2 modal/real-algebraic, pure-Rust in-process, HP type-checker ecosystem, TypeChecker disciplines, Coq-Jr playground) cover interactive provers, first-order ATPs, SAT/SMT solvers, auto-active verifiers, constraint/optimisation backends, model checkers, C/hardware verifiers, security-protocol tools, and specialised systems. The full tier table and membership list — the only place these counts are maintained — is docs/PROVER_COUNT.md.

All backends in the Tier-1 / Tier-2 / Wave-3 / Wave-2 / pure-Rust groups implement the ProverBackend trait (parse, verify, export, tactic suggestion, theorem search). File-extension detection covers 30+ formats (.v, .lean, .smt2, .tptp, .dfy, .mzn, …).

The verification pipeline applies the following checks to every proof:

• Solver Binary Integrity (integrity/): SHAKE3-512 provenance hashing and BLAKE3 fast runtime re-verification. Solver binaries are checked against a TOML manifest at startup; tampered binaries are rejected.

• SMT Portfolio Solving (verification/portfolio.rs): Cross-checks proofs across multiple solvers (e.g. Z3 + CVC5 + Alt-Ergo). Flags disagreements for human review. Supports SMT, ATP, and ITP solver pools.

• Proof Certificate Checking (verification/certificates.rs): Verifies Alethe (CVC5), DRAT/LRAT (SAT solvers), TSTP (first-order ATPs), Lean4 kernel, and Coq kernel certificate formats. Certificates are hashed with BLAKE3 and stored for audit trails.

• Axiom Usage Tracking (verification/axiom_tracker.rs): Scans proof content for dangerous constructs across provers. Four danger levels:

  • Safe: Standard library axioms

  • Noted: Classical axioms in constructive systems (e.g. Axiom in Coq)

  • Warning: Incomplete proof markers (sorry, Admitted, postulate)

  • Reject: Known unsound constructs (--type-in-type, mk_thm, believe_me) Comments are not flagged.

• Solver Sandboxing (executor/sandbox.rs): Runs solvers in isolated environments. Three modes: Podman containers (preferred, --network=none, read-only, memory/CPU/disk limits), bubblewrap namespaces (fallback), or unsandboxed (development only, requires explicit opt-in). Auto-detection selects the strongest available option.

• 5-Level Trust Hierarchy (verification/confidence.rs): Every proof result receives a trust level:

  • Level 1: Large-TCB system, unchecked, or dangerous axioms used

  • Level 2: Single prover, no dangerous axioms

  • Level 3: Single prover with verified proof certificate

  • Level 4: Small-kernel prover (Lean, Coq, Isabelle, Agda, Metamath, HOL Light, HOL4, Idris2, F*, Twelf, Nuprl, Minlog) with verified certificate

  • Level 5: Cross-checked by 2+ independent small-kernel systems with certificates

• Mutation Testing (verification/mutation.rs): Deliberately weakens specifications (remove preconditions, weaken postconditions, negate subterms, replace constants) to verify the pipeline catches them. Computes a mutation score with a default 95% threshold.

• Cross-Prover Proof Exchange (exchange/): Export and import proofs in six universal formats — OpenTheory (HOL family interop), Dedukti and Lambdapi (lambda-Pi calculus modulo rewriting), TPTP (exchange/tptp.rs — first-order ATP universal exchange), SMT-LIB v2 (exchange/smtlib.rs — cross-solver normalisation), and SMTCoq (exchange/smtcoq.rs — Alethe / LFSC / DRAT skeleton parser for Coq kernel re-checking). See Wire Schema for the formal data contracts.

• Pareto Optimisation (verification/pareto.rs): Multi-objective ranking of proof candidates across four axes: proof time, trust level, memory usage, and proof size. Computes the Pareto frontier and optionally applies weighted scoring for single-best selection.

• Statistical Confidence Tracking (verification/statistics.rs): Per-prover, per-domain success rates and timing statistics. Bayesian timeout estimation (mean + 2 sigma). Wilson score intervals for mutation score confidence. Prover ranking by composite score (success rate, timeout rate, speed). JSON serialisation for persistence.

• Dispatch Pipeline (dispatch.rs): Orchestrates the full pipeline: create prover → parse → verify → axiom scan → confidence scoring. Supports single-prover and cross-checked (portfolio) modes with configurable minimum trust levels.

• Neurosymbolic ML (Julia layer): Logistic-regression tactic prediction; serves rankings via HTTP for the GNN-augmented dispatch path. Output flows through the type-level TacticSuggestion / ConfidenceFP ABI before any consumer touches it.

• Aspect Tagging: Proof categorisation and domain analysis.

• Anomaly Detection: ML-based overconfidence detection on dispatcher outputs.

• Agentic Proof Search: Actor-based autonomous proof exploration.

• Chapel Parallel Layer (optional): Coforall-based parallel proof dispatch, including a per-prover cwd/filename-override hook in tryProver so each backend can be invoked with its required workspace shape (Idris2 / Agda case studies in src/chapel/).

• Three API surfaces:

  • GraphQL (async-graphql, port 8081)

  • gRPC (tonic + Protocol Buffers, port 50051)

  • REST (axum + OpenAPI/Swagger, port 8000)

• ReScript / AffineScript UI: ReScript components are being ported to AffineScript-TEA as the stdlib primitives needed for the port (Http / Promise / Json / Dict) land in affinescript.

• REPL: Interactive proof session via rustyline (cargorun — interactive).

• Rust nightly (managed via asdf or rustup)

• Just command runner (cargoinstalljust)

• pkg-config + openssl-devel / libssl-dev (system)

• Podman (NOT Docker) — recommended for solver sandboxing

Optional, by component:

• Julia 1.10+ — ML layer (src/julia/)

• Idris2 >= 0.7.0 — ABI type-check (src/abi/)

• Zig >= 0.13.0 — FFI bridge (ffi/zig/, src/zig_ffi/)

• Chapel — optional parallel proof dispatch (src/chapel/, --featureschapel)

• Deno >= 2.0 — ReScript / AffineScript UI (src/rescript/, src/ui/)

Run justdoctor to verify what’s actually installed; justheal will offer to install missing pieces non-destructively.

# Clone
git clone https://github.com/hyperpolymath/echidna.git
cd echidna
# Build
just build
# or: cargo build# Run all tests
just test# or: cargo test# Launch the interactive proof REPL
cargo run -- interactive
# or: just run interactive

# Install at least one solver — Z3 is the smallest dependency
sudo apt install z3 # Debian/Ubuntu (or `brew install z3`)# Start the REST API server with CORS enabled
cargo run --bin echidna -- server --cors
# In another terminal, POST a satisfiable SMT-LIB goal
curl -X POST http://127.0.0.1:8081/api/prove \
-H 'Content-Type: application/json' \
-d '{"prover":"Z3", "content":"(set-logic QF_LIA)\n(declare-const x Int)\n(assert (> x 0))\n(check-sat)\n", "timeout":30}'# → {"success":true,"goals":1,"message":"Proof verified successfully"}

For a minimal browser UI, open src/ui/public/prove.html directly in any modern browser and point the "API base" field at the running server. No build step is required.

See docs/SUPPORTED_PROVERS.md for the Tier-1 core set, required binaries, and how to expose additional backends through the API.

podman build -f Containerfile -t echidna:latest .
podman run -it echidna:latest

• Rust: Core logic, prover backends, trust pipeline, CLI, REPL, API servers

• Julia: ML inference (tactic prediction, premise selection)

• ReScript + Deno: UI components

• Chapel: Optional parallel proof dispatch

src/rust/
provers/ # Per-backend ProverBackend impls (see docs/PROVER_COUNT.md for the live tier table)
verification/ # Trust-hardening subsystem
portfolio.rs # SMT portfolio solving / cross-checking
certificates.rs # Proof certificate checking (Alethe, DRAT/LRAT, TSTP)
axiom_tracker.rs# Axiom usage scanning and policy enforcement
confidence.rs # 5-level trust hierarchy
mutation.rs # Mutation testing for specifications
pareto.rs # Pareto frontier candidate ranking
pareto_arbiter.rs # Pareto multi-objective arbiter (post-portfolio)
bayesian_arbiter.rs # Bayesian posterior arbiter
dempster_shafer.rs # Dempster-Shafer mass-function arbiter
statistics.rs # Per-prover statistical tracking
integrity/ # Solver binary integrity (SHAKE3-512, BLAKE3)
executor/ # Sandboxed solver execution (Podman, bubblewrap)
exchange/ # Cross-prover proof exchange (OpenTheory, Dedukti, TPTP, SMT-LIB, SMTCoq, Lambdapi — 6 formats)
dispatch.rs # Full trust-hardening dispatch pipeline
agent/ # Agentic proof search (actor model)
neural.rs # Neural premise selection integration
aspect.rs # Aspect tagging system
anomaly_detection.rs
proof_search.rs # Chapel parallel proof search
core.rs # Core types (Term, ProofState, Tactic, Goal, etc.)
parsers/ # Proof file parsers
ffi/ # Foreign function interface
server.rs # HTTP API server
repl.rs # Interactive REPL
main.rs # CLI entry point
lib.rs # Library root
corpus/ # 17 corpus adapters (see "Corpus Coverage" below)

Seventeen structural ingest adapters cover every major public proof corpus reachable to date. Each lives under src/rust/corpus/<name>.rs and exposes a pubfningest(root:&Path)→Result<Corpus> returning the canonical Corpus struct defined at src/rust/corpus/mod.rs:156. Two-pass extraction: pass 1 enumerates module + decl names; pass 2 scans decl bodies and records references against the pass-1 name set (src/rust/corpus/mod.rs:25). Hazards (axioms, sorry, believe_me, cheat, …) populate AxiomUsage per entry.

Full per-adapter source URLs, hazard flag inventory, fixture layout and downstream wiring (suggest / octad-emit / GNN training) are in docs/CORPUS-ADAPTERS.md.

Per-prover synonym tables (one TOML per backend, ~863 lines of seed content as of 2026-06-01) sit under data/synonyms/ and drive the echidnasuggest variant-tester (src/rust/suggest/synonyms.rs). The schema (canonical + aliases + tactic_class + version range) and contract are documented in data/synonyms/README.adoc.

Three cross-prover taxonomic dictionaries (underscore-prefixed, merged via SynonymTable::merge_external()) layer a common mathematical vocabulary over the per-prover tables:

• _msc2020.toml — 87 MSC2020 codes for cross-domain classification (e.g. 03B45 modal logic, 68V20 formalised mathematics).

• _wordnet_math.toml — ~80 lemmas from the WordNet 3.1 math sub-hierarchy for natural-language anchor terms.

• _conceptnet_seed.toml — ~55 pre-fetched ConceptNet 5.7 edges for offline-resilient semantic_class resolution.

When multiple provers attack the same goal, four arbitration mechanisms turn a multiset of outcomes into a decision:

The data contract between ECHIDNA and its long-term memory store (VeriSimDB) is formalised:

• docs/architecture/VERISIM-ER-SCHEMA.md — 12 first-class entities + 7 first-class relationships, each with its Rust struct, VeriSimDB table, Cap’n Proto schema, and PK/FK set. Replaces the aspirational text in the 2026-04-17 triangulation document.

• crates/echidna-wire/schemas/verisim_er.capnp — Cap’n Proto wire schema (struct id @0xe4dc7b1f01a06001).

Drift detection is by hash over both files; the per-PR er-drift CI gate is tracked alongside the schema.

use echidna::provers::{ProverFactory,ProverKind,ProverConfig};// Create a prover backendlet backend = ProverFactory::create(ProverKind::Lean,ProverConfig::default())?;let state = backend.parse_string("theorem foo : 1 + 1 = 2 := by omega").await?;let verified = backend.verify_proof(&state).await?;

use echidna::dispatch::{ProverDispatcher,DispatchConfig};use echidna::provers::ProverKind;// Use the trust-hardening dispatch pipelinelet dispatcher = ProverDispatcher::with_config(DispatchConfig{cross_check:true,track_axioms:true,
..Default::default()});// Cross-checked verificationlet result = dispatcher.verify_proof_cross_checked(ProverKind::Z3,"(set-logic QF_LIA)\n(assert (> x 0))\n(check-sat)",&[ProverKind::CVC5],).await?;println!("Verified: {}, Trust: {}", result.verified, result.trust_level);

The test surface spans unit tests inside src/rust/ and integration suites under tests/, supplemented by property tests, criterion benchmarks, and Idris2 ABI type-checks. Current counts are not embedded here — cargotest--lib, cargotest--tests, and CHANGELOG.md carry the live numbers.

• Smoke E2E integration tests across the Tier-1 prover backends

• Property-based tests (PropTest)

• Criterion benchmarks across all critical paths

• Idris2 ABI type-check (idris2--buildsrc/abi/echidnaabi.ipkg) enforces zero believe_me / assert_total / postulate in the ABI modules.

cargo test# All Rust tests
cargo test --lib # Unit tests only
cargo test --test integration_tests
idris2 --build src/abi/echidnaabi.ipkg # ABI type-check

just check # Roll-up: fmt-check + lint + test
just lint # REUSE, rustfmt, clippy
just audit # cargo-audit + supply-chain check
just pre-commit # fmt-check + lint + test (use in git hooks)
just assail # panic-attacker security scan (requires the panic-attack CLI)
just mvp # MVP smoke checks (reports missing provers, non-fatal)
just doctor # Verify required toolchain is on PATH
just heal # Offer to install missing tools
just tour # Guided walkthrough of the repo

just--list enumerates every recipe; justhelp-me prints an onboarding subset.

The authoritative status surface — release history, what shipped in each minor, what’s targeted next — is CHANGELOG.md. For roadmap items beyond the next release, see docs/ROADMAP.md.

Headline shape (as of the most recent on-main work):

• Trust pipeline: solver-integrity, certificate-checking, axiom-tracking, sandboxing, mutation-testing, Pareto ranking, Bayesian confidence — all wired into dispatch.rs.

• Idris2 ABI: EchidnaABI.TacticRecord (fixed-point confidence, total-order proofs, in-range round-trip lemmas), Provers, AxiomTracker, Gnn, CapnSchemas — type-checked on every push.

• Chapel parallel layer: per-prover cwd / filename hooks (tryProver) and L2.3 cancel-token preemption.

• Wave-3 container infrastructure: 8-cell weekly cron building each Tier-3 prover image with stub-sentinel detection.

• Estate migrations in flight: ReScript→AffineScript UI; npm→Deno for echidna-playground; CI workflow consolidation under the governance ruleset.

• Contributing Guidelines

• Code of Conduct

• Security Policy

• Changelog

• Roadmap

• RSR / CCCP Compliance Statement

• EXPLAINME — receipts for the README claims

• docs/PROVER_COUNT.md — canonical prover-count and tier table

• docs/ARCHITECTURE.md — system overview

• docs/CORPUS-ADAPTERS.md — 17-adapter corpus ingest index

• docs/architecture/VERISIM-ER-SCHEMA.md — VeriSim ↔ ECHIDNA entity-relationship schema

• docs/decisions/2026-06-01-saturation-campaign.md — ADR for the saturation campaign (corpora / vocab / synonyms / exchange / arbitration)

• docs/handover/PROVER-CORPUS-SATURATION-LANE.md — saturation lane handover

• docs/ENV-VARS.md — environment variables

• CLAUDE.md — collaboration brief for Claude Code

• No Python — Julia for ML, Rust for systems, ReScript / AffineScript for UI. (salt/ is the only carve-out.)

• RSR / CCCP Compliance — see RSR_COMPLIANCE.adoc for the full hard-rule list and ECHIDNA’s out-of-template adaptations.

• Justfile primary — Just is the build entry point; no Make.

• Podman not Docker — always Podman; Containerfile (.containerization/ for the per-prover images) not Dockerfile.

• License: AGPL-3.0-or-later. See LICENSE.

This project is licensed under the GNU Affero General Public License v3.0 or later. Individual files may carry earlier MPL-2.0 SPDX headers pending the header migration sweep.

@software{echidna2026,
title = {ECHIDNA: Extensible Cognitive Hybrid Intelligence for Deductive Neural Assistance},
author = {Jewell, Jonathan D.A.},
year = {2026},
url = {https://github.com/hyperpolymath/echidna},
license = {AGPL-3.0-or-later}
}

• GitHub Issues: https://github.com/hyperpolymath/echidna/issues

• Pull Requests: https://github.com/hyperpolymath/echidna/pulls

Author: Jonathan D.A. Jewell <j.d.a.jewell@open.ac.uk>
Version and last-changed date: tracked in CHANGELOG.md and the git log; not duplicated here to avoid drift.