redis/agent-skills

iris-development

Iris is Redis's umbrella for AI-focused products.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/redis/agent-skills --skill iris-development

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

Iris: Redis Agent Memory

Iris is the umbrella brand for Redis's AI-focused products. This skill currently covers one product in that family: Redis Agent Memory (RAM) — the persistent memory layer for AI agents, delivered as a managed service on Redis Cloud. Additional Iris products will be added as separate sections when they ship.

Redis Agent Memory exposes a REST/JSON data-plane API with two memory tiers:

  • Session memory — append-only conversation history per session (working memory).
  • Long-term memory — semantically searchable records extracted from sessions (or created directly).

A background promotion worker — managed by Redis Cloud — extracts durable facts from session events and writes them into long-term memory.

Official SDKs

All code samples use the official SDKs:

LanguagePackageClassInstall
Pythonredis-agent-memoryAgentMemorypip install redis-agent-memory
TypeScript@redis-iris/agent-memoryAgentMemorynpm add @redis-iris/agent-memory

Both SDKs read the bearer token from AGENT_MEMORY_API_KEY and the default store ID from AGENT_MEMORY_STORE_ID. The production data-plane URL is https://gcp-us-east4.memory.redis.io; the exact URL for your service is also shown in the Cloud console after provisioning.

When to Apply

Reference these guidelines when:

  • Creating a memory service on Redis Cloud (https://cloud.redis.io/#/agent-memory)
  • Wiring an agent to call AgentMemory.add_session_event(...) / addSessionEvent(...)
  • Searching long-term memory with search_long_term_memory(...) / searchLongTermMemory(...)
  • Choosing between session events and direct long-term memory writes

Rule Categories by Priority

PriorityCategoryImpactPrefix
1Setup & Cloud ServiceHIGHsetup-
2Session Memory / EventsHIGHsession-
3Long-Term MemoryHIGHltm-
4Memory PromotionMEDIUMpromotion-

Quick Reference

1. Setup & Cloud Service (HIGH)

2. Session Memory / Events (HIGH)

3. Long-Term Memory (HIGH)

  • `ltm-bulk-create` - Create long-term memories in bulk with idempotent IDs
  • `ltm-search` - Search long-term memory semantically with filters
  • `ltm-organize` - Organize records with namespace, ownerId, topics, and memoryType

4. Memory Promotion (MEDIUM)

How to Use

Read individual rule files under references/ for detailed explanations and code examples:

references/setup-cloud-service.md
references/session-add-event.md
references/promotion-overview.md

Each rule file contains:

  • Brief explanation of why it matters
  • Correct example(s) with Python and TypeScript SDK code
  • Either an "Incorrect" example or "When to use / When NOT needed" guidance
  • Additional context and references

관련 작업

같은 저장소의 Skills

더 많은 Skills

모든 Skills
redis
공식

redis-connections

Redis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for throughput, eliminating per-request connection creation, iterating large keyspaces with SCAN, enabling client-side caching for read-heavy workloads, or setting connect and read timeouts.

1시간 설치 수
2
GitHub Stars
169
업데이트
9월 8일
redis
공식

redis-core

Core Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing/cleaning up Redis key naming.

1시간 설치 수
2
GitHub Stars
169
업데이트
9월 8일
redis
공식

redis-search

Redis Search guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, JSON path), DIALECT 2 query syntax, FT.SEARCH / FT.AGGREGATE / FT.HYBRID command selection, vector similarity with HNSW or FLAT, hybrid retrieval combining lexical and vector ranking, RAG pipelines, zero-downtime index updates via aliases, and debugging with FT.PROFILE and FT.EXPLAIN. Use when defining a search index on Hash or JSON documents, writing FT.SEARCH queries with fi

1시간 설치 수
2
GitHub Stars
169
업데이트
9월 8일
redis
공식

redis-observability

Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops/sec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO, MEMORY DOCTOR, CLIENT LIST, FT.PROFILE), and when to use the Redis Insight GUI. Use when setting up monitoring or alerts for a Redis instance, diagnosing a performance regression, profiling a slow FT.SEARCH query, or wiring Redis metrics into Prometheus, Datadog, or similar.

1시간 설치 수
1
GitHub Stars
167
업데이트
9월 8일