jcode

jcode is a high-performance coding agent harness designed for multi-session workflows and extreme resource efficiency. It features a sophisticated memory system that uses semantic vector embeddings to recall relevant information without excessive token usage. The platform supports native agent collaboration through a swarm architecture and integrates with a wide range of LLM providers via OAuth or custom configurations.

jcode is a high-performance coding agent harness designed to facilitate multi-session workflows with a focus on extreme resource efficiency and low latency. By implementing a custom terminal and optimized rendering pipeline, it addresses the performance bottlenecks common in existing CLI-based AI tools, allowing for scalable, multi-agent collaboration within a single repository. The project prioritizes a human-like memory system using semantic vector embeddings and a side-agent architecture, enabling agents to autonomously recall relevant context without excessive token consumption.