Welcome to the HALO Core documentation. HALO (Holistic Agent Logical Orchestrator) Core is an intelligence workspace for teams that need to turn raw information into clear, usable outputs.
| Audience | Documentation |
|---|---|
| End Users | User Handbook |
| Administrators | Admin Guide |
| Developers | Technical Reference |
- Collect sources — files, web findings, connector results
- Ask questions — source-grounded AI chat
- Generate outputs — reports, infographics, podcasts, presentations
- Save insights — reusable notes from your work
Complete guide for end users:
- Getting Started — Installation and first steps
- Sources — Managing your content library
- Chat — AI conversations and multimodal input
- Studio — Generating outputs from templates
- Workflows — Common task recipes
- Troubleshooting — Solving problems
- FAQ — Quick answers
- Glossary — Terms and definitions
System administration documentation:
- Deployment — Infrastructure and deployment options
- Configuration — System configuration
- User Management — Identity and memory
- Security — Security and compliance
- Monitoring — Logging and observability
- Maintenance — Backup and updates
Developer documentation:
- Overview — Technical reference home
- Getting Started — Developer quickstart
- Repository Overview — Codebase structure
- Architecture and Runtime — System design
- Agent System — AI agent architecture
- Data Storage and Retrieval — Data layer
- UI Panels and Pages — Frontend architecture
- Development, Testing, and Operations — DevOps
HALO Core uses Agno Skills for domain-specific agent capabilities:
- Skills Guide — How to create and use skills
- 15+ pre-built skills for medical, research, marketing, and general tasks
Run specialized AI agents with different roles, instructions, and tools.
Multiple coordination modes: direct, skill-based delegation, or team-wide collaboration.
Answers are grounded in your selected documents with citations.
Inspect tool calls, agent actions, and reasoning traces.
Generate reports, presentations, podcasts, and more from your research context.
# Clone and setup
git clone https://github.com/aizech/halo_core.git
cd halo_core
python -m venv .venv
. .venv/Scripts/activate
pip install -r requirements.txt
# Configure API key
echo 'OPENAI_API_KEY = "sk-..."' > .streamlit/secrets.toml
# Run
streamlit run app/main.py- Changelog — Version history and changes
- GitHub Repository
- Live Demo
- Corpus Analytica
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