
Ildar Iskhakov developed desktop-first capabilities for the archestra-ai/archestra repository, focusing on local LLM workflows and modernizing project structure. He built a Tauri and React-based desktop application, integrating Ollama as a sidecar for interactive chat and onboarding controls. His work included migrating the MCP system to StreamableHTTP, enhancing server discovery, and improving JSON-RPC handling for more reliable communication. Using TypeScript, Rust, and Docker, Ildar emphasized robust code organization and deployment consistency by restructuring the project’s build targets. The result was a cohesive desktop and LLM tooling stack that improved iteration speed, reliability, and overall business value.

July 2025 monthly summary for archestra-ai/archestra: Delivered desktop-first capabilities and enhanced local LLM workflows, with notable improvements to MCP tooling and project structure. Key features included a Tauri + React desktop bootstrap, Ollama integration with sidecar and SDK-based chat, MCP modernization with StreamableHTTP and UI integration, and a codebase cleanup renaming the tauri folder to desktop. Notable bug fixes addressed include robust handling of JSON-RPC notifications without an id field, improved MCP proxy logging, and stabilized fetch usage within the MCP SDK path. Overall impact includes faster iteration, improved reliability, and stronger business value from a cohesive desktop + LLM tooling stack.
July 2025 monthly summary for archestra-ai/archestra: Delivered desktop-first capabilities and enhanced local LLM workflows, with notable improvements to MCP tooling and project structure. Key features included a Tauri + React desktop bootstrap, Ollama integration with sidecar and SDK-based chat, MCP modernization with StreamableHTTP and UI integration, and a codebase cleanup renaming the tauri folder to desktop. Notable bug fixes addressed include robust handling of JSON-RPC notifications without an id field, improved MCP proxy logging, and stabilized fetch usage within the MCP SDK path. Overall impact includes faster iteration, improved reliability, and stronger business value from a cohesive desktop + LLM tooling stack.
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