Agent LSP addresses critical limitations in existing AI agent interaction with code by offering a stateful runtime over multiple real language servers, rather than stateless bridges. It maintains persistent, warm language server sessions, eliminating repeated indexing costs and enabling cross-file awareness for agents. Furthermore, it introduces a skill layer that wraps complex sequences of 47 individual tools (28 CI-verified across 25 languages) into reliable, single-command workflows, ensuring agents correctly execute tasks like safe renames or speculative edits. This allows AI assistants to understand code semantically, navigate, analyze, refactor, and format across polyglot projects within a single, continuously synchronized AI session.
주요 기능
010 GitHub stars
02Stateful runtime with persistent warm index for code semantics and cross-file awareness.
03Skill layer encoding multi-step tool sequences for reliable AI agent workflows.
04Supports 47 tools across 25 CI-verified languages, built to LSP 3.17 specification.
05Automatic multi-server routing for polyglot and multi-project workspaces.
06Real-time workspace synchronization via kernel-level filesystem events.
사용 사례
01Enabling multi-project AI coding sessions across diverse codebases.
02Facilitating polyglot development with Go, TypeScript, Python, and more in one session.
03Integrating real language server intelligence and verification into CI pipelines.
