Metta-AI/metta
Sep 2025 – Oct 2025
2 Months active
Languages Used
C++PythonCUDACudaPyTorchShell
Technical Skills
Backend DevelopmentBug FixingC++Code IntrospectionCommand-line Interface (CLI)Game Development
Subhojeet Pramanik
PROFILE
Subhojeet Pramanik
Contributed to Metta-AI’s metta and mettagrid repositories by building modular memory architectures, stateful attention mechanisms, and game resource protection features. Developed Cortex, a GPU-accelerated library in Python and C++ for recurrent neural networks, integrating AxonCell and AxonLayer for meta-recurrence and scalable sequence modeling. Enhanced the framework with Transformer-XL style attention cells and robust testing. In mettagrid, implemented soul-bound resource logic to prevent theft during attacks and introduced configuration-driven UI controls for improved user experience. Additional work included scripting agent kickstarting recipes and optimizing off-policy training workflows, demonstrating depth in backend development, concurrency, and performance optimization across deep learning and game systems.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
9Total
Bugs
2
Commits
9
Features
6
Lines of code
30,625
Activity Months4
Your Network
43 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on Metta-AI/mettagrid. Delivered a kickstarting recipe for scripted agents, improved off-policy importance sampling calculations, and refreshed trainer defaults for CvC to boost performance and stability. No major bugs fixed this month; changes centered on enabling efficient CvC workflows and reproducibility.
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on Metta-AI/mettagrid. Delivered a kickstarting recipe for scripted agents, improved off-policy importance sampling calculations, and refreshed trainer defaults for CvC to boost performance and stability. No major bugs fixed this month; changes centered on enabling efficient CvC workflows and reproducibility.
January 2026
December 2025
1 Commits
Dec 1, 2025December 2025 monthly summary focusing on key accomplishments for Metta-AI/mettagrid. Delivered a targeted bug fix to improve UI clarity and control over actions. The Change Vibe Action Visibility bug was resolved by introducing a default-disabled configuration option, providing explicit control over its UI visibility and enhancing user experience. This work ties to issue #4262 and is documented in commit 00dbb1db8f5036a78acb36ac8f6e67670e8d90e5. Overall, the change improves UI predictability, reduces user confusion, and aligns visibility with access controls.
December 2025
1 Commits
Dec 1, 2025December 2025 monthly summary focusing on key accomplishments for Metta-AI/mettagrid. Delivered a targeted bug fix to improve UI clarity and control over actions. The Change Vibe Action Visibility bug was resolved by introducing a default-disabled configuration option, providing explicit control over its UI visibility and enhancing user experience. This work ties to issue #4262 and is documented in commit 00dbb1db8f5036a78acb36ac8f6e67670e8d90e5. Overall, the change improves UI predictability, reduces user confusion, and aligns visibility with access controls.
October 2025
3 Commits • 2 Features
Oct 1, 2025October 2025 for Metta-AI/metta: Delivered architectures that advance memory and sequence modeling capabilities, with clear business value in scalability, latency, and developer productivity. Key work includes Cortex, a modular memory architecture library with AxonCell/AxonLayer for meta-recurrence, GPU-accelerated via Triton kernels and integrated into the Metta framework; integration into mLSTM/sLSTM and the auto-stack builder (AMS); removal of a Triton stub and related compatibility fixes to stabilize production builds. Also delivered XLCell, a Transformer-XL style attention cell with stateful streaming, segment-aware rolling memory, and relative positional encoding; supporting optional AxonLayer-backed Q/K/V projections and integrated testing for both standard and AxonLayer-backed modes. These initiatives deliver faster inference, more flexible backbones for meta-recurrence, and improved developer workflows across the stack.
3 Commits • 2 Features
Oct 1, 2025October 2025 for Metta-AI/metta: Delivered architectures that advance memory and sequence modeling capabilities, with clear business value in scalability, latency, and developer productivity. Key work includes Cortex, a modular memory architecture library with AxonCell/AxonLayer for meta-recurrence, GPU-accelerated via Triton kernels and integrated into the Metta framework; integration into mLSTM/sLSTM and the auto-stack builder (AMS); removal of a Triton stub and related compatibility fixes to stabilize production builds. Also delivered XLCell, a Transformer-XL style attention cell with stateful streaming, segment-aware rolling memory, and relative positional encoding; supporting optional AxonLayer-backed Q/K/V projections and integrated testing for both standard and AxonLayer-backed modes. These initiatives deliver faster inference, more flexible backbones for meta-recurrence, and improved developer workflows across the stack.
October 2025
September 2025
4 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for Metta-AI development work focusing on key feature deliveries, bug fixes, and overall impact across two repositories (Metta-AI/metta and Metta-AI/mettagrid).
September 2025
4 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for Metta-AI development work focusing on key feature deliveries, bug fixes, and overall impact across two repositories (Metta-AI/metta and Metta-AI/mettagrid).
Activity
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Quality Metrics
Correctness94.4%
Maintainability94.4%
Architecture94.4%
Performance88.8%
AI Usage31.2%
Skills & Technologies
Programming Languages
C++CUDACudaPyTorchPythonShell
Technical Skills
Attention MechanismsBackend DevelopmentBug FixingC++CI/CDCUDACode IntegrationCode IntrospectionCommand-line Interface (CLI)ConcurrencyData ProcessingDeep LearningGPU ComputingGame DevelopmentLibrary Design
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
Metta-AI/mettagrid
Sep 2025 – Jan 2026
3 Months active
Languages Used
C++Python
Technical Skills
Backend DevelopmentC++Game DevelopmentPythongame developmentConcurrency