Build Google ADK Agents with persistent, real-time memory on Redis

Google's Agent Development Kit (ADK) focuses on creating AI agents with clean abstractions for memory, sessions, tools, and callbacks, but its default in-process memory storage hampers scalability. To address this, the adk-redis package integrates Redis to provide persistent two-tier memory, semantic search, and response caching without modifying agent logic, allowing a seamless transition from prototype to production. It leverages Redis Agent Memory and RedisVL for efficient session management and long-term memory, enhancing agent recall capabilities across interactions. The package supports three integration patterns—framework-managed services, LLM-controlled REST tools, and MCP tools—each offering different levels of control and portability. Additionally, adk-redis enhances retrieval capabilities with RedisVL-based search tools and implements semantic caching to reduce the cost and latency of LLM API calls. The open-source package, available on GitHub, includes comprehensive documentation and examples to facilitate deployment and adaptation across different infrastructures.

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