Features
Run multiple AI coding agents in parallel within one project
Sandboxed execution with command and file change review
Subagent delegation for breaking large refactors into subtasks
Each agent operates with its own context, prompt, and git state
Real-time progress tracking while agents work in the background
Git integration: review, test, compare, and ship desired work
Terminal-based workflow without leaving the development environment
Automatic code review and pull request generation
Auditable session logs and visible agent activity
Cross-platform support (macOS, Windows, Linux)
Complementary to existing AI tools (Cursor, Cline, Kilo, Codex, Claude, ChatGPT)
GLM-5.2 open-source flagship model with 1M context
GLM-5V-Turbo multimodal coding model
GLM-5-Turbo agent-optimized base model
AutoGLM autonomous planning and execution agent (50+ steps)
GLM-PC computer-operating agent via screen input
AutoClaw 1-minute PC agent deployment
MaaS high-performance model API services
Model fine-tuning for language and multimodal models
AI search tool with multi-engine integration
General translation with context recognition
GLM PPT/Poster one-click presentation generation
CogAgent-9B open-source GLM-PC base model
End-side deployment with Intel partnership
CodeGeeX smart coding assistant for AIPC
