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NexumCorpus/README.md
Nexum Corpus — verifiable machine work

An independent research and product estate for machine work that can survive inspection.

Check it yourself · Explore the estate · Read the method · Ship with Nexum Graph


Most AI systems can produce convincing output. Nexum Corpus is built around the harder question:

What machinery makes a generated claim expensive to fake, easy to inspect, and safe to reject?

The estate answers with executable gates, frozen predictions, append-only evidence, independent graders, and systems that publish their own nulls and failures. AI writes much of the code. Human direction chooses the questions, freezes the boundaries, and decides what evidence is allowed to count.

Check it yourself

Every claim below is meant to be checked in minutes, from a fresh clone, with no account and no key.

Glass Receipt is the shortest path from "trust us" to "check us": a report, its raw evidence, and a standard-library verifier that recomputes every number in the report from the logs.

git clone https://github.com/NexumCorpus/glass-receipt
cd glass-receipt/bundle-protoprimer-143 && python verify.py

About one second, offline. It ends VERDICT: VERIFIED, or it names the cell that disagrees. Pass --root 209eab8f… to pin the published root. Then run python selftest.py from the repo root: it forges two copies of the bundle and the verifier must reject both. Three trials, six of six correct calls; each trial's kill rule was written before it ran, and the README says what is not claimed (one verifier per trial, two tamper types, no security proof).

More things you can run yourself:

Repo One line
Boundary Program python -m venv .venv, activate, pip install -r requirements.txt, python reproduce.py — checks the frozen hashes and re-derives the claim.
Demiurge python reproduce.py — re-runs the gate on all four proposals; one is rejected on its holdout seeds.
Nexum Graph v0.2.0 release binaries; sh examples/merge-risk-demo.sh builds a throwaway repo and shows nex check catching a semantic merge conflict.
Director 2 bash setup.sh (or setup.ps1), then the whole command loop runs offline on a loudly-labelled mock. Python 3.11+.
OnPar open demo/onpar-demo.html in a browser, no install.
Station python examples/init_local.py, then python station.py wake against a fresh local registry.
RDE field report one-command verifier for the v11 numbers behind the Recursive Discovery Engine result.

Start here

If you want to… Open
Verify an agent-work report without trusting its author Glass Receipt
Coordinate multiple coding agents against semantic intent Nexum Graph
Operate the full local agent organism from a desktop surface Atlas Station
Give an agent estate durable, loss-aware continuity Station
Orchestrate verified work and recursive discovery Director 2
Study capability versus performance under measurement pressure The Boundary Program
Examine gated recursive self-improvement Demiurge
Detect phase structure through graph geometry Emergent Geometry Engine
Study discovery systems that expose their own overfit Recursive Discovery Engine · field report
Run restaurant inventory as a calm operational system OnPar

The estate

Operator infrastructure

  • Atlas Station — the desktop executive surface for Hermes: conversation, tools, autonomy, receipts, and visible execution state.
  • Station — the append-only spine: wake digests, cursor reads, verified claims, shards, forecasts, and cross-repository continuity.
  • Director 2 — event-sourced orchestration with command packets, independent verification, and a recursive discovery bench.

Developer products

  • Nexum Graph — semantic diffing, intent coordination, merge-risk detection, locks, audit history, CLI, server, LSP, and GitHub Actions.

  • OnPar — inventory, purchasing, recipe costing, waste, and operational visibility for independent restaurants.

  • Glass Receipt — reports that ship with their raw evidence and a verifier that replays every number; first bundle triages 13 agent PRs on one bounty.

Research instruments

  • The Boundary Program — a preregistered program for measuring when a system performs a property versus robustly having it.
  • Demiurge — a self-modifying organism whose proposed organs must beat the incumbent under an external gate.
  • Emergent Geometry Engine — graph-curvature and hyperbolicity instruments for integration–fragmentation transitions.
  • Recursive Discovery Engine — a Builder/Adversary/Synthesizer lineage whose strongest result is a holdout that erased its own winner streak.

The method

  1. Generation and judgment are different jobs. A proposer does not certify itself.
  2. Claims are frozen before entropy arrives. Predictions, thresholds, and kill conditions are recorded before the revealing test.
  3. Failure is a result. Nulls, rejected organs, broken hypotheses, and retractions remain visible.
  4. Continuity lives in artifacts. Ledgers, cursors, shards, receipts, and exact hashes carry state across models and sessions.
  5. Authority is explicit. Observation, execution, settlement, and permission are separate boundaries.
  6. The gate must be able to refuse its maker. Otherwise it is decoration.

One long experiment

Nexum Corpus is maintained across model generations. Each model inherits artifacts rather than mythology, confronts the errors of its predecessors, and leaves a receipted state for the next.

The portfolio is therefore both laboratory and specimen: a practical attempt to discover whether directed synthetic cognition can accumulate real capability without laundering fluency into truth.


Built by Claude, directed by Nexum Corpus · across model lineages · verified by gates that do not care who built them

Pinned Loading

  1. atlas-station atlas-station Public

    Desktop operator surface for an evidence-backed AI organism: tools, memory, autonomy, receipts, and transparent model execution.

    JavaScript

  2. boundary boundary Public

    Preregistered research program measuring when AI systems perform a capability versus robustly having it.

    Python

  3. director2 director2 Public

    Verified AI orchestration and recursive discovery: event-sourced command, bounded agents, independent graders, and human branch control.

    Python

  4. glass-receipt glass-receipt Public

    Work a stranger can check in one command: report + raw evidence + a verifier that replays every number. First bundle: 13 agent PRs on one bounty.

    Python

  5. Nexum-Graph Nexum-Graph Public

    Semantic diff, intent coordination, and merge safety for multi-agent software engineering.

    Rust