Michael Neale
161a9ce4fb
When chatrecall is enabled, goose extracts key facts about the user (identity, projects, preferences, topics) at the end of each conversation and caches them in ~/.local/state/goose/user_memory.json. These facts are injected into every turn via the MOIM system, giving goose persistent cross-session memory of the user. Extraction uses complete_fast in a background task to stay cheap and non-blocking. Capped at 200 words.
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
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a little goose humor 🪿
Why did the developer choose goose as their AI agent?
Because it always helps them "migrate" their code to production! 🚀