Projects · Current focus · Ecosystem · Research output · Standards · Collaboration

Independent researcher and systems engineer based in Switzerland, developing scientific software and a governed research organisation under the Anulum name. Five active groups cover reactor systems, integration and control, agentic coordination and assurance, neuromorphic computing, and quantum computing. A sixth group, Scientific Discovery and Experimentation, is in formation. Released software, architecture work, world-model development and intended hardware outputs have separate evidence boundaries. The research institute and company are offered for joint founding with partners.

Projects for the software and its evidence · Papers for every publication and software archive with BibTeX · Contact for a technical proposal. Cold readers: anulum.li/start/ picks an entry point by profile. Every registered project, filterable by group, reactor family and evidence, with a clickable map: anulum.li/portfolio/.

Each card links to inspectable artefacts, not summary claims. Evidence links are pinned to the commit they were verified at. Release and CI badges report registry and workflow state; they are operational signals, not scientific-quality scores.

Synapse Channel · Usable now Control plane for coding-agent fleets: claims, roles, durable mailboxes, receipts, audit, and federation. Documentation · Validation · Coordination specification · Threat model	Director-AI · Research active Real-time LLM guardrail: NLI/RAG grounding, claim review, native acceleration, optional claim-level streaming halt, declared capability boundaries. Documentation · Validation · Public benchmarks · Capability matrix
Rigor Foundry · Usable now Evidence-bound repository inventory, audit candidates, review binding, and remediation planning. Documentation	Remanentia · Usable now Auditable memory for AI agents and knowledge systems: hybrid retrieval, graphs, consolidation, CLI, MCP, and API surfaces. Documentation
SC-NeuroCore · Research active Stochastic and neuromorphic framework: Python models, Rust SIMD paths, Verilog RTL, HDC/VSA, compiler surfaces, and hardware evidence. Documentation · Validation · Synthesis results · Traceability matrix	SCPN Fusion Core · SCPN Control · Research active Tokamak physics, solvers, and validation campaigns with real-data paths (Fusion Core); control-grade runtime with fail-closed admission and replay evidence (Control). Validation · DIII-D validation record · Software DOI
SCPN Quantum Control · Experimental Evidence-governed quantum simulation of coupled-oscillator synchronisation: protocols committed before the run, hardware result packs, raw counts, and explicit non-advantage boundaries. Layout-relaxation protocol · Result-pack contract · Software DOI	SCPN Phase Orchestrator · Research active Evidence-first synchronisation analysis and review-only control proposals for coupled rhythmic systems; matched-false-alarm evaluation, negative results, and bounded transfer claims. Submission index · Negative-result preprint · Grid regime-map preprint

_{Portfolio state verified 2026-10-15.}

_{Rendered from anulum.li/news (the projects' CHANGELOG files) and Zenodo on 2026-10-15.}

_{Rendered from anulum.li/news (the projects' CHANGELOG files) and Zenodo on 2026-10-15.}

Timeline entries distinguish registry facts from self-published chronology. They do not imply academic affiliation, external validation, funding, or awards.

flowchart LR
    Q["SCPN Quantum Control"] -. "optional SNN adapter" .-> N["SC-NeuroCore"]
    Q -. "optional studio" .-> S["Studio Platform package"]
    N -. "optional federation" .-> S
    D["Director-AI"] -. "optional honesty extra" .-> S
    C["SCPN Control"] -. "optional fusion extra" .-> F["SCPN Fusion Core"]
    R["Rigor Foundry · repository analysis"]

These arrows are declared optional software interfaces from the group architecture records, not a tested end-to-end scientific loop. Rigor Foundry provides repository analysis; it is shown without an invented runtime dependency. Each domain keeps model and hardware authority. Studio Platform is a published package with a private repository. The Phase Orchestrator grid modal-damping benchmark was withdrawn on 12 October 2026; this profile makes no real-grid or quantum-advantage claim.

Dated inventory: 2026-10-15

97 portfolio repositories: 37 public, 6 private, 54 locally initialised and unpublished. A further 42 catalogue entries describe packages, modules, workspaces or architecture destinations. All work is in progress.

Group declarations are dated 12–13 October; repository presence and public visibility were checked on 15 October 2026. Licence statements are source declarations, not a legal audit. Package publication and hardware qualification are separate.

The detailed atlas is integrated in this repository. Its 196 entries also include programmes, company needs, partner roles and funding routes; they are not 196 repositories. Use the atlas preview instructions for the interactive view. The existing website portfolio is maintained separately.

Detailed atlas source and local preview · anulum.li/portfolio/

Technical scope descriptions below quote the English source records. A named destination is not a separately released capability. Shared items are counted once under their primary group.

Additional public research record

Fusion Equilibrium Challenge is a public reproduction package created on 14 October 2026, after the group inventory. It is listed separately to preserve the dated group totals. Results and limitations belong to its own record.

• Fusion Equilibrium Challenge · In progress · AGPL-3.0-or-later · 2026-10-15

Open work here is funded through GitHub Sponsors. About USD 25,000 a month is the minimum that keeps the lab running without interruption: compute, GPU, QPU and FPGA time, hardware, CI and tooling. This is lab cost, not a salary. Above that minimum the work scales, because the engine turns additional compute directly into more built and verified work. Sponsorship pays for the lab; it does not buy results, and findings are published whichever way they fall.

To direct your support, name the engine or one domain when you sponsor; the money is spent there and reported in the quarterly note. The hardware the lab needs is listed item by item in LAB_EQUIPMENT.md, and equipment can also be given in kind.

03 · Agentic Coordination, Assurance and Continuity. The autonomous coding and verification system that builds and checks every project on this page, taken to 1.0 as open infrastructure. It combines SYNAPSE CHANNEL (agent coordination with receipts), Rigor Foundry (evidence-bound review), Director-AI (grounding of claims) and Remanentia (auditable memory). Sponsorship pays for model and GPU time for the agent fleet, evaluation benchmarks and CI.

• Research agreement. An organisation can fund a defined piece of work under a written research agreement, invoiced directly, instead of a sponsorship. Scope and deliverables are agreed first; findings are published under the same rule as above.
• Commercial licence. Projects under AGPL-3.0-or-later can be licensed on commercial terms for proprietary or closed use, for example SYNAPSE CHANNEL, SC-NeuroCore, SCPN Control, SCPN Fusion Core, SCPN Phase Orchestrator, SCPN Quantum Control. Apache-2.0 projects such as Director-AI and Rigor Foundry need no licence; Director-AI Pro is a commercial self-hosted edition, and support and integration can be contracted for any project. The LICENSE file of each repository states which licence applies.
• Contact: protoscience@anulum.li, with "research agreement" or "commercial licence" and the project name in the subject.

PyPI

20 named distributions checked individually against the PyPI JSON API on 2026-10-15. This is a verified list, not a claim that the entire account has been exhaustively indexed. Versions are package metadata, not scientific validation or matched historical DOI releases.

Primary implementation

Practices are applied according to each repository's risk and scope. Not every repository runs every tool.

Negative and null results are published when they are real. Public claims stay tied to measurements, protocols committed before the run, raw packs, source-bound reviews, or executable verification.

Example: SCPN Quantum Control publishes protocols committed before the run and hash-bound result packs rather than converting experimental activity into a readiness or advantage claim.

• Evidence before claims.
• Reproducible artefacts before presentation.
• Clear boundaries between research, validation, and product readiness.
• Cross-language implementations where performance or hardware integration justifies them.
• Fail closed when provenance, authority, or evidence is incomplete.
• Negative results and failure records remain part of the research output.

We seek pre-seed backing and partners to jointly found a research institute, a company and a non-profit research company. The programme currently belongs to one individual; these vehicles and sites are proposals, not established institutions. The initial geographic picture is Switzerland or Liechtenstein, Czechia or Slovakia, and a third site in the Middle East whose location is open. We bring the software, research programme and governed agent organisation. Partners can bring capital, independent replication, measured domain data, chip design and fabrication, laboratories, instrumentation or hardware-in-the-loop facilities. A first engagement should specify one problem, one deliverable and the evidence that will decide success. No partner commitment or funding award is implied.

I welcome technically grounded collaboration in reliable AI infrastructure, multi-agent systems, neuromorphic computing, scientific software, formal verification, quantum simulation, plasma physics, and control.

Engagements are taken selectively. The public GitHub profile currently marks the account as hireable; this is not a guarantee of immediate capacity.

A useful first message includes the problem, constraints, relevant prior art, and what evidence would count as success. Contact me through protoscience@anulum.li or anulum.li.

I respond to technical proposals. I do not take on ungrounded hype work, demo-only science theatre, or claims that cannot be checked.

For sustained open work, GitHub Sponsors funds CI runners, compute, hardware and quantum experiment time, and public documentation rather than marketing.

Transparency: These repositories span research software, developer tools, private systems, and product candidates. Active development does not imply production readiness or scientific validation unless a project provides explicit evidence.

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