Redis Iris
Redis's context engine for AI agents, bundling Context Retriever, Agent Memory, LangCache, Data Integration and Redis Search into one runtime that keeps agents supplied with live business data, memory and cached answers, managed on Redis Cloud or self-managed on Kubernetes.
Find alternatives to Redis Iris
What it does
- Agent orchestration
- Vector search
Features 2
- Redis Data IntegrationKeeps operational state fresh in Redis so agents act on current business context.
- Context maturity self-assessmentAn 8-question self assessment of how a team builds and governs context for agents.
Sources
- Pricing
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The Redis pricing page names no Iris service; the Iris page offers "Try for free" and "Talk to sales" with no rate. The "~$0.07 per session" banner is a benchmark figure, not a price.
- Description
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Launch post of 2026-05-18: "Iris is composed of five tools, Redis Context Retriever, Redis Agent Memory, Redis Data Integration, Redis LangCache, and Redis Search."
- What it does
- Sold within
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"Redis Iris services are available as managed services on Redis Cloud. All Redis Iris services are also available for self-managed deployment." The launch post says to "Use your existing Redis Cloud account ... or create a new Redis Cloud account for free." No page read states whether Iris is included in a Redis Cloud plan or billed on top. Read: the Iris page, the Iris docs, redis.io/pricing/ (which names none of the Iris services) and the launch post.
- Name
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Official documentation · 10 Oct 2026
"Redis Iris is a unified, real-time context engine that delivers fresh, relevant context so agents perform at scale."
- URL
- Deployment
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Official documentation · 10 Oct 2026
"fully managed on Redis Cloud or self-managed on your own infrastructure"; self-managed services run on Kubernetes.
Also from Redis
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Redis Search API service
Vector search and hybrid (vector + exact-match) query engine built into Redis, marketed as "the world's fastest vector database" for GenAI apps and RAG pipelines at billions-of-vectors scale.
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Redis LangCache API service
A semantic cache for LLM calls: before an app calls its model, LangCache embeds the prompt, looks for a semantically similar prompt already answered and returns the stored response, with configurable similarity thresholds, TTLs and eviction, through a REST API.
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Redis Agent Memory API service
A memory service for AI agents that keeps each conversation as ordered session events with automatic summarisation, extracts durable facts into long-term memory in the background, and retrieves them across sessions by semantic, keyword or hybrid search.
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Redis Context Retriever API service
A schema-first context layer that turns a modelled set of business entities, fields and relationships into generated retrieval tools agents call over MCP, so agents read live operational data through governed, row-filtered lookups rather than writing SQL.
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Redis Copilot Developer tool
An AI assistant in Redis Insight and the Redis docs that answers questions about Redis commands and concepts and, connected to a user's own database, turns plain-language requests into Redis search queries over that data.
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