agent-lsp: agent-lsp is a stateful runtime over real language servers. It indexes your workspace once, keeps the index warm, and adds a skill layer that encodes correct multi-step operations. It provides speculative execution, phase enforcement, and token savings for AI agents.; mcp-use: mcp-use is a full-stack framework for Model Context Protocol (MCP), enabling the creation of MCP servers, clients, and AI agents. It supports development in both Python and TypeScript with minimal code.
Multi-project sessions: work across projects without reconfiguring
Building intelligent AI agents capable of using tools and reasoning across steps