Michael Neale
44b37a1c9e
Native provider that manages the mesh-llm process lifecycle: - Auto-downloads mesh-llm release if not on PATH or in ~/.mesh-llm/ - Daemonises mesh-llm (survives Goose exit, shared across sessions) - Detects already-running mesh on port 9337 (fast path) - Delegates inference via OpenAI-compatible API - Configurable via MESH_MODEL, MESH_PORT, MESH_INVITE env vars - Default model: GLM-4.7-Flash-Q4_K_M
goose
a local, extensible, open source AI agent that automates engineering tasks
goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously.
Whether you're prototyping an idea, refining existing code, or managing intricate engineering pipelines, goose adapts to your workflow and executes tasks with precision.
Designed for maximum flexibility, goose works with any LLM and supports multi-model configuration to optimize performance and cost, seamlessly integrates with MCP servers, and is available as both a desktop app as well as CLI - making it the ultimate AI assistant for developers who want to move faster and focus on innovation.
Quick Links
- Quickstart
- Installation
- Tutorials
- Documentation
- Responsible AI-Assisted Coding Guide
- Governance
- Custom Distributions - build your own goose distro with preconfigured providers, extensions, and branding
Need Help?
a little goose humor 🪿
Why did the developer choose goose as their AI agent?
Because it always helps them "migrate" their code to production! 🚀