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MCP verified Apache-2.0 Self-run

Adk Redis

mcp-redis-developer-adk-redis · by redis-developer

Redis integration for Google Agent Development Kit (ADK) - Memory, Sessions, Search Tools, MCP

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Install

$ agentstack add mcp-redis-developer-adk-redis

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

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Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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Redis Integrations for Google Agent Development Kit

[](https://badge.fury.io/py/adk-redis) [](https://opensource.org/licenses/Apache-2.0) [](https://www.python.org/downloads/) [](https://github.com/google/pyink) [](https://mypy-lang.org/)

PyPIDocumentation[Examples](examples/)Redis Agent MemoryRedisVL


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](examples/managedmemoryquickstart/) · [simple_redis_memory](examples/simpleredismemory/) · [travel_agent_memory_hybrid](examples/travelagentmemoryhybrid/) · [travel_agent_memory_tools](examples/travelagentmemorytools/) · [fitness_coach_mcp](examples/fitnesscoachmcp/) | | Search | [redis_search_tools](examples/redissearchtools/) · [redis_sql_search](examples/redissqlsearch/) · [redisvl_mcp_search](examples/redisvlmcpsearch/) | | Caching | [semantic_cache](examples/semanticcache/) · [langcache_cache](examples/langcachecache/) |


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](CONTRIBUTING.md) for the full guide.


Contributing

Open an issue or submit a PR following [CONTRIBUTING.md](CONTRIBUTING.md).

License

Apache 2.0. See [LICENSE](LICENSE).


Links

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.