Thank you for your interest in contributing to AtlasMindAI! We are building the future of autonomous scientific discovery and codebase evolution.
Our focus is on core-level AI infrastructure that fills real technical gaps. We appreciate all contributions, from foundational research to engineering optimizations.
If you find a technical gap or a bug:
- Check if an Issue already exists.
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If not, open a new one with deep technical context (architecture diagrams, logs, and reproduction steps).
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To contribute code:
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- Fork the repository and create a branch from
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- Develop your isolated agent, graph node, or infrastructural component.
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- WASM & Agentic Standards: Ensure your code follows our standards for agentic graph execution and WASM portability.
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Test: Confirm your changes are stable and pass existing simulation benchmarks.
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Open a PR: Explain the technical gap your change fills and how it advances the core mission.
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Autonomous systems are complex. If our architecture guides are unclear, please submit a documentation PR to help other researchers.
- Core over Fancy: Focus on foundational utility and robust execution engines.
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- Autonomous Compatibility: Every component should be designed to be discoverable and usable by autonomous agents.
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Modular & Extensible: Use graph-based architectures and modular plugins where possible.
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Thank you for advancing the frontier of machine intelligence.
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- Fork the repository and create a branch from
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