Redis Flex keeps hot data in RAM and moves less-used data to SSD, with the RAM ratio set anywhere from 10% to 50% per workload. It costs up to 80% less per gigabyte than RAM alone, and it needs no code changes: redis.io/blog/scale-your-wor…
Real-time data is only an advantage if agents can use it. Redis Context Retriever makes that possible. Schedule time with a Redis expert to see it in action: redis.io/context-retriever/
Redis Dev Hub brings tutorials, learning paths, and reference docs into one place, including hands-on guides for building real-time AI agents with Redis Iris and agent memory with LangGraph. Stay up to speed: redis.io/dev/
Most RAG chatbots demo well, then fall apart in production. Redis University's "Build a RAG Chatbot" lab is built around the difference. It covers embedding data with RedisVL, generating grounded answers, and adding semantic caching and memory. Start here: university.redis.io/course/i…
A model trained before Redis 8 will still give you the old defaults with total confidence. The Redis Docs MCP lets your agent read the current docs instead. You can connect it and read how we built it and what we measured here: redis.io/blog/how-we-built-t…
We’re welcoming a new chapter in the Lion City. 🇸🇬 Here’s to one more home for the team building the memory and context layer for agentic AI from Singapore.
Redis retweeted
If you’re building AI agents and you’re in London, come hang out!
We’ve got talks on agent memory and retrieval at Redis(@Redisinc) on 5 November, and I’ll be speaking too.
Bring your questions. We’d love to hear what you’re building!
Register here: redis.io/events/context-awar…
Is your agent losing context, carrying stale memories, or retrieving the wrong information? Bring your broken agent. We’ll work on it live on October 21: redis.io/resources/videos/ag…
🤖 Made with AI
For agents, intelligence is no longer the hard problem. Context is. Redis CEO @rowantrollope joined @furrier on @theCUBE to explain why Redis Iris was built to solve it. Full conversation here: youtube.com/watch?v=1yqmRL6m…
Agents use 4x more tokens than chat. Redis LangCache intercepts the redundant calls and returns cached responses instantly, saving up to 90% on API costs. Speak to a Redis expert and learn more about enterprise-grade Redis: redis.io/langcache/
Redis retweeted
Redis is expanding. We just added new space to our HQ in San Francisco
And we are hiring! Come work with us redis.io/jobs
Terabyte-scale search just landed on Flex. Built for workloads like fraud detection and feature stores. Read more → redis.io/blog/search-on-flex…
Redis 8.10 is available now, delivering improvements that make Redis more memory-efficient, expressive, and easier to operate at scale. Read more: redis.io/blog/announcing-red…
Redis Agent Memory delivered 86.5% task-averaged accuracy at ~$0.07 per session across a benchmark of 16 agent memory systems run under identical conditions. Get full results and methodology are in the report: redis.io/resources/agent-mem…
🤖 Made with AI
Know your whole Redis footprint at a glance. Redis Radar gives you one view across every deployment you run, including open source, plus direct integration with Datadog. See it → redis.io/blog/introducing-re…
Context. That's the difference between an AI demo and a reliable production agent. The fix? Bringing fragmented context into one place, then adding meaning so an intelligent system can actually use it: redis.io/resources/state-of-…
Full breakdown in The state of context engineering report: redis.io/resources/state-of-…
Your agents should be getting smarter. Build them on fresh data and context that improve over time with Redis Iris: redis.io/iris/
Skills cover data structures, connection pooling, vector search, semantic caching with LangCache, clustering, security, and Redis Agent Memory.
Install Redis Development through the plugin browser in ChatGPT Work or Codex, or run ‘npx skills add redis/agent-skills’ for other supported agents. Read more: redis.io/blog/put-redis-data…