160 skills found · Page 3 of 6
thatsme / GiuliaA persistent, local-first AI development agent built in Elixir/OTP. AST-level code intelligence, Knowledge Graph, runtime BEAM introspection, and semantic search — all via a 70+-endpoint REST API.
CGCL-codes / PFedSDThe implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".
xdotech / GoatlasGoAtlas: The AI-Powered Code Intelligence Engine — A server-side MCP platform that deeply indexes Go/TypeScript codebases via AST parsing, builds a Neo4j knowledge graph, and provides hybrid semantic search (BM25 + pgvector). Features process detection, community clustering, auto-generated docs, and a Gemini AI agent.
JeremyVyska / Bc Code IntelligenceBC Code Intelligence - Specialized knowledge base for Business Central development with 87+ atomic topics across 24 domains, 14 AI specialist personas, and systematic methodology frameworks for BC optimization.
fylo-io / FyloCoreReal-time, collaborative knowledge graph platform for structured thinking, scientific discourse, and collective intelligence.
unit-mesh / Co UnitCoUnit，一个基于 LLM 的虚拟团队接口人（API），通过向量化文档、知识库、SDK和 API 等，结合 LLM 智能化团队间对接与协作。Merge artificial intelligence seamlessly with team collaboration. Leverage intelligent vectorization to process documents, knowledge bases, SDKs, and APIs, empowering teams to unleash their creativity.
kweaver-ai / Kweaver DipKWeaver DIP is an AI-native platform for developing and managing digital employees, built on business knowledge networks for understandable, executable, and governable enterprise intelligence.
anthophilee / SpiderFoot ادات جلب معلوماتUSES SpiderFoot can be used offensively (e.g. in a red team exercise or penetration test) for reconnaissance of your target or defensively to gather information about what you or your organisation might have exposed over the Internet. You can target the following entities in a SpiderFoot scan: IP address Domain/sub-domain name Hostname Network subnet (CIDR) ASN E-mail address Phone number Username Person's name Bitcoin address SpiderFoot's 200+ modules feed each other in a publisher/subscriber model to ensure maximum data extraction to do things like: Host/sub-domain/TLD enumeration/extraction Email address, phone number and human name extraction Bitcoin and Ethereum address extraction Check for susceptibility to sub-domain hijacking DNS zone transfers Threat intelligence and Blacklist queries API integration with SHODAN, HaveIBeenPwned, GreyNoise, AlienVault, SecurityTrails, etc. Social media account enumeration S3/Azure/Digitalocean bucket enumeration/scraping IP geo-location Web scraping, web content analysis Image, document and binary file meta data analysis Dark web searches Port scanning and banner grabbing Data breach searches So much more... INSTALLING & RUNNING To install and run SpiderFoot, you need at least Python 3.6 and a number of Python libraries which you can install with pip. We recommend you install a packaged release since master will often have bleeding edge features and modules that aren't fully tested. Stable build (packaged release): $ wget https://github.com/smicallef/spiderfoot/archive/v3.3.tar.gz $ tar zxvf v3.3.tar.gz $ cd spiderfoot ~/spiderfoot$ pip3 install -r requirements.txt ~/spiderfoot$ python3 ./sf.py -l 127.0.0.1:5001 Development build (cloning git master branch): $ git clone https://github.com/smicallef/spiderfoot.git $ cd spiderfoot $ pip3 install -r requirements.txt ~/spiderfoot$ python3 ./sf.py -l 127.0.0.1:5001 Check out the documentation and our asciinema videos for more tutorials. COMMUNITY Whether you're a contributor, user or just curious about SpiderFoot and OSINT in general, we'd love to have you join our community! SpiderFoot now has a Discord server for chat, and a Discourse server to serve as a more permanent knowledge base.
GallupGovt / MultivacMULTIVAC - A DARPA Automating Scientific Knowledge Extraction (ASKE) Artifical Intelligence Exploration (AIE) Program
AmirhosseinHonardoust / Graph RAG EngineAn explainable AI system that combines Graph Intelligence, Vector Search, and Retrieval-Augmented Generation (RAG) to deliver grounded answers and transparent reasoning paths. Includes a FastAPI backend, Streamlit UI, FAISS vector index, and an in-memory knowledge graph for hybrid retrieval and recommendations.
tommy-ca / Notion SkillsClaude Skills marketplace for productive Notion workflows: knowledge capture, meeting intelligence, research documentation, and spec-to-implementation planning
aovestdipaperino / TokensaveRust port of CodeGraph — a local-first code intelligence system that builds semantic knowledge graphs from codebases. Ported from the original TypeScript implementation by @colbymchenry.
aws-solutions-library-samples / Guidance For Digital Thread Using Graph And Generative AI On AwsThis Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.
Welding-Torch / SemIVPublicThe intention of this Vault is to be a repository of the Academic Knowledge learnt in Semester IV of Bachelor of Engineering in Artificial Intelligence and Data Science.
AmirhosseinHonardoust / Designing Hybrid AI SystemsHybrid AI is the future of explainable intelligence. This article explores how combining vector search, knowledge graphs, and retrieval-augmented generation (RAG) creates AI systems that can reason, cite, and explain their answers with insights learned from building a real Graph-Powered RAG Engine.
hyperb1iss / SibylCollective intelligence runtime for AI agents. Knowledge graph + orchestration + persistent memory.
AI4S2S / S2spyA high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting
thebnbrkr / Agora CodePersistent memory and codebase intelligence for AI coding agents, indexes symbols, tracks sessions, and exposes structured project knowledge through an MCP server so agents stop re-reading files and start building on what they already know.
WenkeHuang / Encyclopedia Of Artificial IntelligenceI have the Artificial Intelligence knowledge you want.
nex-crm / Nex As A SkillTurn every AI agent session into company intelligence. Nex silently unifies every AI agent conversation with your email, Slack, CRM, and 100+ tools into one knowledge graph. The more your team works, the smarter every agent gets.
