NEURA PARSE
EN

00Open source

Public tools, built to be inspected and changed.

Four other public engineering records and the final TaskNebula source archive. TaskNebula’s project-management work now continues as N-Task under N-N.

Portfolio

GitHub organization ↗Browse projects
4 + 1
Other records + archive
3
Project categories
MIT / Apache-2.0
Permissive licences
0
Telemetry

01Project ledger

The first layer tells you whether a project fits. Open its record only when you need capabilities, licence, language, or repository access.

01
Archived

Final MIT source; the product continues as N-Task.

Productivity

TaskNebula public dashboard showing projects, issues and activity
Public TaskNebula dashboard capture

TaskNebula ended at release 0.17.3. Its open-source code remains available as-is under MIT, without further updates or support. Project-management development continues as the separately licensed N-Task product in the N-N family.

Project recordOpen +
  • Final TaskNebula open-source release: 0.17.3
  • No further features, bug fixes, security updates or support
  • Final code and published images remain available under MIT as-is
  • N-Task is the current product on n-n.io; its capabilities and terms are separate
Language
TypeScript
Licence
MIT
Status
Archived
Read projectView on GitHub ↗
02
Stable

Tasks, notes and focus in your macOS menu bar.

Developer tools

One local workspace8 tools
  • Tasks
  • Focus
  • Shortcuts
  • Automate
  • Clipboard
  • Notes
  • System
  • AI
Capability map · local-first workspace

A small, fast, opinionated workspace that lives in the menu bar — tasks, focus, clipboard, notes, automations, and multi-provider AI, one click away. Local-first, no cloud account, plain JSON storage.

Project recordOpen +
  • 8 tools in a single popover (⌘1–⌘8)
  • ⌘K command palette across tabs
  • Auto-detects 11 coding CLIs (Claude Code, Codex, Aider, opencode, Gemini, Amp, Goose, Continue, Plandex, Qwen, Ollama)
  • 12 one-click automations with approval gates
  • EN / TR localisation, 71 passing tests
  • macOS 14+, Swift 5.9, native SMAppService launch-at-login
Language
Swift
Licence
MIT
Status
Stable
Read projectView on GitHub ↗
03
Coming soon

Where context is built.

Developer tools

From working material to addressable context

SourceDecisionTask
structured context

MCP · context export

Proposed OrbIDE model · not an interface capture

Turn your thinking into structured, queryable context that any AI tool can consume. Promote a sentence into a Decision, a paragraph into a Source, a checklist into Tasks — every object becomes addressable from Claude, Cursor, Copilot, or any MCP-compatible agent.

Project recordOpen +
  • React 19 + TypeScript 6 + Tauri 2 — ~2 MB native bundle
  • Yjs CRDT for offline-first collaboration
  • Tiptap rich text + CodeMirror code blocks + LaTeX
  • Force-directed 3D knowledge graph (Three.js)
  • One-click export: CLAUDE.md, .cursorrules, AGENTS.md, schema/context.json
  • MCP server surface — agents query your workspace via standard protocol
  • 830+ tests, sub-100 ms cold start
Language
TypeScript
Licence
MIT
Status
Coming soon
Read projectView on GitHub ↗
04
Public preview

The quantum substrate of the Neura Parse stack.

Quantum research

Conceptual laboratory with a chip package and optical equipment
qmesh research context · conceptual study

One IR across gate, neutral-atom, photonic-CV and pulse modalities. Fault-tolerant promotion is one config flag (surface · BB qLDPC · Gidney–Shutty cultivation). Every run is an ed25519-signed manifest with offline-verifiable hash chains.

Project recordOpen +
  • Modality-agnostic IR with deterministic content-hash
  • 157 passing tests across phases 1–6
  • PyMatching, sliding-window, BP+OSD, neural decoders
  • Pasqal Pulser, Strawberry Fields, MrMustard, Bloqade frontends
  • QutipEmulator, Aer, Stim, OpenPulse backends
  • SLURM / PBS connectors, crash-safe resume via signed lineage
  • Compose with Qiskit, Cirq, PennyLane — does not replace them
Language
Python
Licence
Apache-2.0
Status
Public preview
Read projectView on GitHub ↗
05
Beta

Quantum Memory-Augmented Neural Networks.

Quantum research

Conceptual laboratory with a chip package in a measurement fixture
QMANN research context · conceptual study

Hybrid quantum-classical neural networks with quantum memory operations. Reference implementation for quantum-inspired algorithms suitable for near-term NISQ devices, with three reproducible modes — Theoretical, Simulation, and Hardware.

Project recordOpen +
  • Three modes: Theoretical (free), Simulation (free), Hardware (paid)
  • Q-Matrix quantum memory layer + Quantum-LSTM controller
  • Up to 20 qubits in simulation, 4–12 on real hardware
  • Qiskit 2.1+ and PyTorch 2.4+ compatible
  • Cost estimator before any paid hardware run
  • Apache-2.0, codecov + CI, full docs
Language
Python
Licence
Apache-2.0
Status
Beta
Read projectView on GitHub ↗

02Contribute and build

Bug reports for maintained projects belong in their relevant repositories. TaskNebula’s old issues and pull requests are no longer reviewed; current N-Task questions belong with N-N. Send security disclosures privately to security@neuraparse.com.

Open GitHub ↗Integration support
Repository quickstartLocal commands for NeuraBar, qmesh, and QMANN. TaskNebula is an unsupported archive.
# NeuraBar
$ git clone https://github.com/neuraparse/NeuraBar && cd NeuraBar && ./build.sh install

# qmesh
$ pip install -e ".[all]" && python3 examples/dag_cross_modality.py

# QMANN
$ pip install -e . && python examples/02_simulation_mode.py