Headroom reduces LLM API costs by 50-90% through intelligent context
compression for AI agents. Tool outputs are 70-95% redundant boilerplate
that LLMs pay for but don't need - Headroom compresses that away while
preserving accuracy.
Features:
- SmartCrusher: Statistical compression of JSON tool outputs
- CacheAligner: Provider-side cache optimization
- Memory: Persistent memory across conversations
- MCP support: Tool output compression for Claude
- Framework integrations: LangChain, Agno, any OpenAI client
- Introduced a new multi-agent system for analyzing landing page designs and providing expert UI/UX feedback.
- Implemented a Coordinator/Dispatcher pattern with specialized agents for visual analysis, design strategy, and visual implementation.
- Added tools for editing and generating improved landing pages, along with comprehensive reporting features.
- Added Parlant as a new sponsor with updated link and image.
- Adjusted image height for Unblocked sponsor for better display consistency.
- Included a sponsorship badge to encourage support.
- Introduced a multi-agent system for home renovation planning that analyzes photos and generates personalized renovation plans.
- Implemented a Coordinator/Dispatcher pattern with specialized agents for visual assessment, design planning, and project coordination.
- Added tools for generating and editing photorealistic renderings, along with budget-aware planning features.
- Introduced multiple tutorials covering memory agents, including in-memory and persistent conversation agents, with detailed README documentation.
- Implemented agent lifecycle callbacks and LLM interaction callbacks to enhance monitoring and control over agent execution.
- Added examples for tool execution callbacks, demonstrating how to track tool usage and performance.
- Updated requirements for new tutorials and removed outdated dependencies from previous versions.
Added language selection links to the README for easier access to translated versions: German, Spanish, French, Japanese, Korean, Portuguese, Russian, and Chinese.