Open Issues Need Help
View All on GitHubAI Summary: Resolve merge conflicts in a pull request that integrates RWKV language models into the Deep Tree Echo cognitive architecture. The conflicts involve updates to the README, Python code (including cached files), and potentially other files. The pull request aims to improve performance and add a C++ backend.
AI Summary: Integrate the RWKV ggml port (from https://github.com/RWKV/rwkv.cpp) into the Deep Tree Echo framework as a distributed, agentic cognitive micro-kernel network. This involves cloning the RWKV ggml repository, adapting its code for compatibility with Deep Tree Echo's architecture, and deploying it as a distributed microservice within the existing system. The integration should leverage Deep Tree Echo's existing infrastructure for load balancing, caching, and monitoring.
AI Summary: The task requires cloning eight specified BlinkDL RWKV repositories to integrate them into the Deep Tree Echo WebVM-RWKV project. This involves using Git to download the repositories and potentially managing dependencies and integrating the code into the existing project structure.