Zane Staggs
460e324fe1
Renderer process:
- Add weight-based LRU cache (cap 5) to resultsCache in useChatStream
- Only write to cache when chat is idle, not on every streamed chunk
- Wire activeSessions tab eviction to clear cache entries
- Delete unused sessionCache.ts (dead code, never imported)
Main process:
- Skip stderr Buffer.toString() after startup unless fatal error detected
via byte-level Buffer.includes scan — avoids converting 2GB+ of goosed
tracing output to V8 strings over long sessions
- Cap errorLog at 200 lines to prevent unbounded array growth
- Add stdout size guard while preserving cert fingerprint extraction
- Replace spawn('cat') with fs.readFile in read-file IPC handler
- Defer string conversion in check-ollama to stream close
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! 🚀