The High-Fidelity Terminal Workstation For Forensic Research & Case Compilation
Unified command-line and Textual interface engineered for competitive forensicians, debate research, and tournament strategy.
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Note
Project Archived & Sunset Notice OmniSuite has reached end-of-life and is officially archived. The final stable release is v1.0.0. The repository remains available in read-only mode for historical reference. No further updates, issues, or pull requests will be accepted.
pip install omnisuiteOr install from source for development:
git clone https://github.com/AMFI-Disable/OmniSuite.git
cd OmniSuite
pip install -e "src/omnishared" -e "src/omnidebate" -e "src/omniformat"# Launch forensic research workstation
omnisuite --app debate
# Launch document compiler
omnisuite --app formatA production-grade strategic research workstation. Transforms the terminal into a "Digital War Room" with real-time forensic auditing, AI-augmented synthesis, and zero-failure resilience for live tournament environments.
Features:
- Evidence Vault — SQLite-backed card management with FTS5 full-text search, boolean queries (AND/OR/NOT), and fuzzy matching
- OracleEngine — 10-dimension heuristic analysis (impact, narrative, clash, synergy, rhetoric, and more)
- Debate Flow — Multi-column argument tracking for live rounds — the only TUI flowing tool in existence
- Round Timer — Format-aware countdown with visual alerts and bell notifications
- Argument Tree — ASCII impact chain visualization with expand/collapse navigation
- AI Assistant — Ollama-powered card summarization, counter-argument generation, case analysis, and interactive debate prep chat
- Drill Mode — Spaced-repetition evidence review with mastery tracking and WPM speed practice
- Export — Verbatim .docx, CaseXC .docx, Markdown, Interactive HTML, CSV, JSON
- Analytics Dashboard — Research velocity graphs, contribution heatmaps, motion audits
The automated document compilation and case formatting workstation. Interfaces directly with the shared debate database to assemble formatted briefs with strict Verbatim/CaseXC styling compliance.
OmniSuite integrates with Ollama for local, privacy-preserving AI:
ollama pull llama3 && ollama serveAI Tools:
- Auto-summarize cards
- Generate counter-arguments
- Analyze impact chains
- Score case strength
- Find evidence gaps
- Generate case outlines
- Create cross-examination questions
- Rewrite for clarity
| Cyber Dark (Default) | Light | Nord | Solarized |
|---|---|---|---|
| Glassmorphic dark UI | Clean white interface | Arctic blue-gray | Warm solarized palette |
Switch themes from Settings (F5).
| Format | Speeches | Style |
|---|---|---|
| Public Forum | 4-min constructives, 2-min crossfire | PF |
| Lincoln-Douglas | 6/4-min constructives, 3-min cross | LD |
| Policy | 8-min constructives, 3-min cross | CX |
| British Parliamentary | 7-min speeches, 15-sec POI | BP |
| World Schools Style | 8-min speeches, 4-min reply | WSS |
| Asian Parliamentary | 7-min speeches | AP |
| Canadian National | 7-min constructives, 4-min rebuttals | CN |
| European Parliamentary | 7-min speeches | EP |
| Karl Popper | 6-min constructives, 5-min rebuttals | KP |
docker compose up -d
docker compose run --rm omnisuite --app debate# Setup virtual environment and test dependencies
python3 -m venv .venv && source .venv/bin/activate
pip install -e "src/omnishared" -e "src/omnidebate" -e "src/omniformat"
pip install ruff pytest pytest-asyncio
# Run test suite
pytest --tb=short -q
# Code quality and formatting lint
ruff check . && ruff format --check .- 100% Local SQLite Storage: All forensic research, cards, debate flows, and brief metadata are stored locally on device.
- Zero Telemetry: No tracking cookies, third-party network pings, or telemetry reporting.
- Local AI Execution: Ollama integration executes inference entirely against local models without cloud leaks.
Licensed under the MIT License. Copyright (c) 2026 AMFI-Disable.