Adk Redis

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adk-redis is the Redis layer for Google ADK agents. It implements ADK's BaseMemoryService, BaseSessionService, and BaseTool interfaces against Redis, Redis Vector Library, Redis Agent Memory. It also ships MCP toolset helpers and semantic-cache providers.

Surface	What you get	Backed by
Sessions	BaseSessionService with durable conversation state	Redis Agent Memory or Agent Memory Server
Long-term memory	BaseMemoryService with semantic search	Redis Agent Memory or Agent Memory Server
Memory tools	LLM-controlled memory CRUD operations	Redis Agent Memory or Agent Memory Server
Search tools	Vector, hybrid, range, text, and SQL search as BaseTool subclasses	RedisVL
MCP search	search-records / upsert-records via ADK's native McpToolset	rvl mcp server
Semantic cache	Skip repeat LLM calls by semantic similarity	RedisVL or Redis LangCache

→ Full documentation

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Installation

pip install adk-redis

Optional extras:

pip install 'adk-redis[memory]'      # sessions + long-term memory services
pip install 'adk-redis[search]'      # RedisVL-backed search tools
pip install 'adk-redis[sql]'         # RedisSQLSearchTool
pip install 'adk-redis[langcache]'   # managed semantic cache provider
pip install 'adk-redis[all]'         # everything above

Memory backends are selected with backend:

Backend	Use when	Client
redis-agent-memory	You want Redis Agent Memory managed by Redis or the Redis Agent Memory data plane	redis-agent-memory
opensource-agent-memory	You want the open source self-hosted Agent Memory Server	agent-memory-client

The memory extra installs redis-agent-memory>=0.2.0 for the managed backend.

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Quick start

Prerequisites: Python 3.10+, Redis 8.4+, and one memory backend. See the Quickstart for full setup steps.

from google.adk import Agent
from google.adk.runners import Runner

from adk_redis import (
    RedisLongTermMemoryService,
    RedisLongTermMemoryServiceConfig,
    RedisSessionMemoryService,
    RedisSessionMemoryServiceConfig,
)

session_service = RedisSessionMemoryService(
    config=RedisSessionMemoryServiceConfig(
        backend="redis-agent-memory",
        api_base_url="http://localhost:8088",
        api_key="...",
        store_id="...",
        default_namespace="my_app",
    ),
)
memory_service = RedisLongTermMemoryService(
    config=RedisLongTermMemoryServiceConfig(
        backend="redis-agent-memory",
        api_base_url="http://localhost:8088",
        api_key="...",
        store_id="...",
        default_namespace="my_app",
    ),
)

agent = Agent(
    model="gemini-2.5-flash",
    name="memory_agent",
    instruction="You are a helpful assistant with long-term memory.",
)

runner = Runner(
    app_name="my_app",
    agent=agent,
    session_service=session_service,
    memory_service=memory_service,
)

For the open source self-hosted Agent Memory Server, set backend="opensource-agent-memory" and omit api_key and store_id unless your server requires them.

→ More examples: search tools, MCP search, semantic caching

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Examples

Each example ships with a README and .env.example. Memory and session examples that register services through get_service_registry() run via python main.py; tools-only and search examples run via adk web. See each example's README and the Examples index for the runner and backend each uses.

Category	Examples
Memory and sessions	managed_memory_quickstart · simple_redis_memory · travel_agent_memory_hybrid · travel_agent_memory_tools · fitness_coach_mcp
Search	redis_search_tools · redis_sql_search · redisvl_mcp_search
Caching	semantic_cache · langcache_cache

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Development

git clone https://github.com/redis-developer/adk-redis.git
cd adk-redis
make dev               # install with all extras + dev deps
make check             # format, lint, type-check, and test

See CONTRIBUTING.md for the full guide.

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Contributing

Open an issue or submit a PR following CONTRIBUTING.md.

License

Apache 2.0. See LICENSE.

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Links

• Documentation: concepts, how-to guides, API reference
• Google ADK · Agent Memory Server · RedisVL · Redis LangCache
• ADK + Redis on redis.io