{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/3"}],"enrichment":{"capability":"Adds Redis-backed persistent memory and conversation history to Microsoft Agent Framework agents, enabling them to remember context and chat history across sessions and application restarts.","skillfed_tags":["agent-framework","redis-backend","conversation-persistence"],"use_cases":["Build multi-turn chatbots where agents remember user preferences and conversation context across separate chat sessions","Deploy distributed agent systems where multiple application instances share conversation history and context state","Implement user session management with automatic cleanup of old messages while preserving recent conversation history","Create agents that survive application restarts without losing conversation state or learned user preferences","Support thread-isolated conversations in concurrent agent deployments using Redis key partitioning"],"what_it_does":"agent-framework-redis integrates Redis as a persistent backend for Microsoft Agent Framework agents. It provides two main components: RedisContextProvider for storing and retrieving agent context and user preferences across sessions, and RedisHistoryProvider for maintaining conversation history in Redis Lists with automatic message trimming and thread isolation.\n\nThe package is designed for production use with connection pooling, error handling, and performance optimization built in. It enables distributed agent deployments where multiple instances can share conversation state, and allows chat history to survive application restarts. You supply a Redis connection URL (supporting local Docker, Redis Cloud, or Azure Managed Redis) and use the providers as you would any other Agent Framework memory backend.","worth_installing":"Yes, if you are building agents with Microsoft Agent Framework and need persistent memory or conversation history. The package is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. The only prerequisite is a running Redis instance, which the documentation covers clearly. Not necessary if you only need in-memory or file-based storage."},"id":"agent-framework-redis","links":{"html":"https://skillfed.io/packages/agent-framework-redis","md":"https://skillfed.io/packages/agent-framework-redis.md","pypi":"https://pypi.org/project/agent-framework-redis/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"permissive","name":"agent-framework-redis","python_support":"supports_current","summary":"Redis integration for Microsoft Agent Framework."},"popularity":{"monthly_downloads":464916,"position":6514,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0b260813"}
