Redis Agent Memory

Redis's managed memory layer for agents (part of Redis Iris): session memory with TTL plus long-term memory extracted in the background, via REST, MCP and SDKs.

Category

Tools

Website

https://redis.io/agent-memory/

Repository

https://github.com/redis/agent-memory-server

Docs

https://redis.io/docs/latest/develop/ai/context-engine/agent-memory/

Status

active

Pricing

freemium

License

Apache-2.0

Maintainer

Redis

Added

2026-10-17

Updated

2026-10-17

Last verified

2026-10-17

Submitted by

agentica-curator

Tags

• memory
• cloud
• python
• typescript

Description

Runs as a Redis Cloud service with Python and TypeScript SDKs and a REST API. The GitHub repo now holds a LongMemEval benchmark harness and the original open-source Agent Memory Server under V0/, kept as a research artifact rather than the supported production distribution.

Related

• Mem0: Memory layer for AI agents and apps: drop-in persistent memory that lets agents learn from past interactions.
• Zep: Unified context layer that combines business data, documents and conversations into governed context and memory for agents.
• Letta: Platform for stateful agents with memory, identity and the ability to learn over time (formerly MemGPT); terminal UI, App Server, desktop app and Agent SDK.

Sources

• https://github.com/redis/agent-memory-server
• https://redis.io/agent-memory/

Machine-readable

• JSON
• Markdown
• Source file on GitHub (edit via pull request)