MemoryBase

MemoryBaseSince 2023-01

MemoryBase provides a unified memory layer that connects across all your AI tools and workflows. It ensures context and information persist between different AI applications, eliminating the need to re-explain or re-enter data. This creates a seamless, continuous experience across your entire AI toolkit.

Built as a centralized knowledge store with API integrations for popular AI platforms. Uses vector embeddings for fast semantic retrieval of stored memories.

AgnoSince 2025-10

Agno (formerly Phidata) is a lightweight, ultra-fast Python framework engineered for building production-grade autonomous multi-agent systems with native memory, knowledge retrieval, and multimodal reasoning capabilities. It is designed to replace bloated agent frameworks with a pure, pythonic developer experience. Agno agents operate up to 10x faster than legacy orchestration libraries by eliminating unnecessary abstractions. With built-in support for vector databases (PgVector, Qdrant, Pinecone), structured output schemas, and agent-to-agent delegating protocols, developers can build complex autonomous assistants with under 20 lines of clean code.

The framework includes first-class multimodal tools allowing agents to analyze images, process video streams, execute code in secure sandboxes, and query SQL databases. Agno agents natively persist session state and user memory in PostgreSQL, making stateful conversations effortless across web sessions. Agno is fully open-source with extensive documentation, offering enterprise-ready middleware for authentication, telemetry, and rate limiting.