Examples¶

Runnable agents built with the Google ADK and Redis. Each links to its source directory and explains what it demonstrates.

Memory and Sessions¶

Each memory example targets a specific backend. The examples that exercise auto-summarization, extraction strategies, recency-boosted search, or MCP require the self-hosted opensource-agent-memory backend.

Example	Backend	Runner	What it shows
Managed memory quickstart	`redis-agent-memory`	`python main.py`	Smallest memory agent, on the managed backend. No Docker or Agent Memory Server.
Simple Redis memory	`opensource-agent-memory`	`python main.py`	Minimal agent with `RedisSessionMemoryService` and `RedisLongTermMemoryService`, plus auto-summarization and extraction.
Fitness coach (MCP)	`opensource-agent-memory` only	`adk web .`	MCP-based memory with `McpToolset` and Agent Memory Server. The managed backend has no MCP endpoint.
Travel agent (hybrid)	`opensource-agent-memory`	`python main.py`	Framework-managed sessions + memory with vector search over travel docs.
Travel agent (tools)	`opensource-agent-memory`, switchable	`adk web .`	Same travel agent using LLM-controlled memory tools instead of framework services. Set `REDIS_MEMORY_BACKEND` to switch backends.

Search¶

Example	Runner	What it shows
Redis search tools	`adk web .`	Vector, text, and range search tools in one agent.
SQL search	`adk web .`	`RedisSQLSearchTool` answering catalog questions via parameterized SQL.
RedisVL MCP search	`adk web .`	Same knowledge base served via `rvl mcp` over MCP.

Semantic Caching¶

Example	Runner	What it shows
Semantic cache (RedisVL)	`python main.py`	Self-hosted semantic cache with `RedisVLCacheProvider`.
LangCache cache	`python main.py`	Managed semantic cache with `LangCacheProvider`.