Add Agent Memory
RedisOfficial
A systematic procedure to integrate Redis Agent Memory into existing AI agents for persistent, cross-session user memory.
Skills from Redis’s repositories that passed our trust, licence and security gates. Each keeps its author’s attribution.
| Repository | Tier | Verdict | Authorship | Checked | Skills |
|---|---|---|---|---|---|
| redis/agent-skills | Vendor | Approved · created 2026-01-29, pushed 2026-11-05, 174 stars | Written in-house | 2026-11-07 | 14 |
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RedisOfficial
A systematic procedure to integrate Redis Agent Memory into existing AI agents for persistent, cross-session user memory.
RedisOfficial
Consolidate multiple MCP servers into a single Redis Iris Context Gateway endpoint for simplified agent configuration and enhanced tool management.
RedisOfficial
Comprehensive guidance for implementing and optimizing search, vector, and aggregation pipelines in Redis.
RedisOfficial
Guidance on monitoring Redis instances and using built-in commands for incident triage.
RedisOfficial
Replace hard-coded agent routing logic with a semantic Redis Iris Intent Router.
RedisOfficial
Foundational guidance for modeling data in Redis, covering data-type selection and key-naming conventions.
RedisOfficial
Security hardening guidelines for Redis deployments covering authentication, ACLs, and network exposure.
RedisOfficial
Integrate Redis Iris Lens into your AI agent for comprehensive per-turn observability and tracing.
RedisOfficial
Implement semantic caching for LLM responses using Redis LangCache to reduce latency and API costs.
RedisOfficial
Guidelines for efficient Redis client configuration, connection management, and command usage.
RedisOfficial
Best practices for managing Redis Cluster data distribution and scaling read-heavy workloads.
RedisOfficial
A systematic workflow for integrating Redis Iris products into existing AI agent frameworks.
RedisOfficial
Best practices for using the redis-docs MCP server to search, fetch, and query Redis documentation effectively.
RedisOfficial
Integrate Redis Iris Agent Playbooks into existing Python agents for managed FAQs and repeatable procedures.