PyPI • Documentation • Examples • Redis Agent Memory • RedisVL

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

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`

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

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`

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.

Contributing

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

License

Apache 2.0. See LICENSE.

Adk Redis

README