Cognee
topoteretes
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
OPENAGENTSKILL / DIRECTORY
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Results: 336
topoteretes
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
elastic
Free and Open Source, Distributed, RESTful Search Engine
Mintplex-Labs
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
meilisearch
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
TriliumNext
Build your personal knowledge base with Trilium Notes
VectifyAI
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
assafelovic
Run autonomous deep research over web and local sources
brycewang-stanford
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when c…
arc53
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for…
Imbad0202
Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows
weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault t…
CherryHQ
Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and on…
kaixindelele
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
KKKKhazix
横纵分析法(Horizontal-Vertical Analysis)深度研究Skill。由数字生命卡兹克提出,融合了索绪尔的历时-共时分析、社会科学的纵向-横截面研究设计、商学院案例研究法与竞争战略分析的核心思想。 当用户想要系统性研究一个产品、公司、概念、技术或人物时使用。核心是双轴分析:纵轴追踪从诞生到当下的完整生命历程(以叙事故…