Awesome AI Memory
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。
Install with one command
$ npx skills add IAAR-Shanghai/Awesome-AI-MemoryDecision summary
Production-ready for RAG and knowledge
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Best for
- RAG and knowledge workflows
- Claude Code teams
- teams that value GitHub adoption signals
Not ideal for
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
Risk notes
- No OpenAgentSkill engagement data yet
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Stack fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Overview
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- Apache-2.0
- Last Updated
- 5/29/2026
- Published
- 5/24/2026
Frameworks & Tools
Claim this skill
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Author
IAAR-Shanghai
@iaar-shanghai
Tags
Platform Fit
Health Signals
- GitHub stars
- 925
- Quality score
- 54/100
- Last GitHub push
- May 27, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
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Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: Apache-2.0
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