This release updates the core knowledge and memory modules to streamline agent development. v0.0.2 focuses on three areas: multi-source knowledge collection, consolidated memory management, and full portability via the $AGENT_HOME variable. For developers building context-aware applications, this version removes environment-specific configuration and improves data ingestion from web, video, and article sources.
Knowledge Collection: Unified Ingestion Pipeline
The collector now supports three source types through a single interface. Web scraping extracts structured content from HTML and RSS feeds, with automatic deduplication and metadata tagging. Video processing uses subtitle extraction (for platforms that provide timestamps or captions) and falls back to transcript summarization for longer content. Article handling includes PDFs and markdown files, with chunking tuned for semantic coherence.
Each source goes through a standard pipeline: fetch, parse, chunk, and embed. The resulting vectors are stored with source provenance, allowing downstream agents to trace reasoning. In testing, the collector processed a 10-minute video into 15 chunks with 92% recall on key concepts.
Memory Management: Short-Term to Long-Term Consolidation
