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Frameworks, job queues, AI libraries, and operations tools that work with Valkey.
See also: Clients
Administration console for standalone and clustered deployments: browse and edit keys, inspect slots and replication, watch live metrics and run commands from a single web interface.
The interactive terminal client shipped with valkey-server, with cluster-aware routing, --scan, --bigkeys and latency diagnostics built in.
Kubernetes operator for deploying Valkey clusters and managing their lifecycle. Work in progress.
Official Helm chart for installing Valkey on Kubernetes.
Sources for the official Valkey container images.
Spring Data module for Valkey — templates, repositories and Spring Cache backing for JVM applications.
Valkeyimplementation 'io.valkey.springframework.boot:spring-boot-starter-data-valkey:2.0.1'
Distributed mutual-exclusion lock for Go, coordinating a quorum across several independent nodes.
go get github.com/go-redsync/redsync/v4
Minimalistic Python task queue that supports Valkey.
pip install rq
Python task queue with periodic tasks and retries, with a Valkey backend built on the official Valkey GLIDE client.
pip install huey valkey-glide-sync
Background job processing for Ruby applications, with maintained support for Valkey 7.2 and above.
gem install sidekiq
Data transformation framework for AI that builds and incrementally updates indexes as your sources change.
pip install 'cocoindex[valkey]'
Document and embedding store for Haystack RAG pipelines, backed by Valkey (requires valkey-bundle).
pip install valkey-haystack
Cognee is an AI memory engine building knowledge graphs from your data, which has an adapter for storing embeddings in Valkey (requires valkey-bundle).
pip install cognee-community-vector-adapter-valkey
Multi-agent framework for building production agent teams, with pluggable retrieval (requires valkey-bundle), and storage.
pip install 'praisonai[valkey]'
Reusable, domain-specific skills that teach coding agents how to work with Valkey correctly.
Agent framework with Valkey as a session and state store, plus a Valkey vector store (requires valkey-bundle) supporting vector and keyword search.
pip install 'agno[valkey]'
Chat-bot platform whose knowledge base can use a Valkey vector store, built on the official Valkey GLIDE client (requires valkey-bundle; not available on Windows).
pip install langbot
Visual builder for agent and RAG flows, with Valkey vector store (requires valkey-bundle) and chat memory components shipped as extensions.
pip install "langflow[bundles]"
Unified gateway for 100+ LLM APIs, with a Valkey-backed semantic cache for prompt and response reuse (requires valkey-bundle).
pip install litellm 'redis<6'
Model Context Protocol server exposing Valkey to AI agents through search, JSON, and tiered read/write/admin command tools (requires valkey-bundle).
uvx awslabs.valkey-mcp-server@latest
Next.js starter template demonstrating a reliable message queue built on Valkey Streams, using consumer groups and pending-entry acknowledgement.
pnpm create next-app --example https://github.com/vercel/examples/tree/main/solutions/aws-message-queue-elasticache
Mixture-of-Models router for LLM inference, with a Valkey-backed semantic cache, conversation memory and vector store (requires valkey-bundle).
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Building something on Valkey - a client, a module, a tool, or an AI integration? We'd love to see it here alongside the rest. Everything on this page lives in valkey-io repo, so adding yours is just a pull request away.
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