Ask Claude or ChatGPT what is in your Redis cache, and search the documents you index in Redis by meaning, under one set of permissions.
Read from Redis when someone asks. Nothing exported, nothing copied, and changes only where you allow them.
Is the cart for customer 4410 still in the cache, and when does it expire?
Search our indexed help articles for anything about refunds on annual plans.
Delete the cached price list so the store loads today’s prices.
Set refuses to overwrite a hash, list or set, and delete takes exact names, never a pattern. Both are off for the User role, and an admin grants them to the roles that need them. Every write is on record.
Redis often holds the live state of your business: sessions, carts, queues, cached prices. With the search module it can also hold your documents, ready for AI. FrontierOps lets the AI read a key you name, search those documents by meaning and, if you allow it, set or clear a key, with no way to run a command that could wipe the database.
An admin connects Redis one time. Nobody hands over a personal login.
Each answer is read at the moment of the question. Nothing is exported or copied, so there is nothing to keep in sync.
What each role can see and do holds in every AI your team uses, and in your own agents.
Every question and every action, by every person and agent, in one audit trail.
No. It can read a key, find keys, set a text value and delete named keys, and there is no way to send a raw command. FLUSHALL, CONFIG, EVAL and KEYS are out of reach by design, not by a blocklist.
A FrontierOps pipeline indexes your documents or conversations into a Redis index. The AI searches it by meaning, with the embedding model you pick on the connection, and can only read it. A bot can be limited to the documents from its own chat or channel.
Key reads and writes work on Redis 6 or later, including Redis Cloud, ElastiCache, MemoryDB and Azure Managed Redis. Document search needs the Redis search module: Redis 8, Redis Stack, Redis Cloud, Azure Managed Redis or MemoryDB.
Yes, and one built for a whole company. FrontierOps gives Claude, ChatGPT and any other MCP client one connection to Redis, set up once by an admin. What each role can read or change is decided in FrontierOps, and every call is on record, instead of each person running their own server with their own login.
A direct connection links one AI to Redis through one person’s login, with that person’s settings. That works for one person. For a team it means no shared definitions, no single place to decide who can see or change what, and starting over when you switch AI. Through FrontierOps, Redis is connected once, for every AI and every agent, under one set of permissions, with every call on record.