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Upstash AgentKit for TanStack AI: Persistence, Resumable Streams, and Memory on Redis

Blog post from Upstash

Post Details
Company
Date Published
Author
Cahid Arda Oz
Word Count
1,315
Company Posts That Month
1
Language
English
Hacker News Points
-
Post removed?
No
Summary

Upstash AgentKit for TanStack AI provides Redis-backed production state for TanStack AI agents, addressing serverless environments where in-memory state is lost between requests or instances. Its modular adapters integrate with existing TanStack AI middleware to support persistent chat transcripts, run records and approvals; resumable streaming responses stored in Redis Streams; distributed locks for operations that must run only once; and long-term, user-scoped memory retrieved through Redis Search without embeddings. The package also offers configurable tool-result caching for safe, repeatable calls, rate limiting before model execution, and RAG search, aggregation, and count tools over application documents with typo-tolerant querying. Configuration relies on Upstash Redis environment variables, and developers can independently combine the features they need, keeping conversations, streams, locks, memories, cached results, and search indexes in a single Redis database.

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