Knowledge-and-Memory-Management v0.0.2 Brings Portable Paths for AI Agents

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Version 0.0.2 of the open-source Knowledge-and-Memory-Management library has been released, targeting developers building AI knowledge-driven agents. The update replaces all hardcoded file paths with a portable $AGENT_HOME environment variable, making deployments across local, staging, and containerized environments easier. The library can ingest content from three sources — websites, videos, and long-form articles — normalizing each into a uniform data object for storage. Memory is organized into two layers: raw content snapshots and a vector index with embeddings, with deduplication handled via content hashes. The release also introduces asynchronous collection pipelines and HNSW-based semantic search to support fast, scalable knowledge retrieval.

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