Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
TranslatedA Simple and Universal Swarm Intelligence Engine, Predicting Anything.
- agent-memory
- financial-forecasting
- future-prediction
- knowledge-graph
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
TranslatedA knowledge graph for mathematics (primary school to high school), English (grade 3 to high school), and junior high school physics: 1,644 knowledge points, 2,403 prerequisite edges, and 6,723 questions, aligned with the curriculum standards, with an adaptive prerequisite diagnostic.
- chinese
- curriculum
- diagnostic
- edtech
A unified, comprehensive and efficient recommendation library
- recommender-systems
- collaborative-filtering
- knowledge-graph
- ctr-prediction
TranslatedA platform for building and running digital employees for enterprises: it solidifies the experience, processes, and judgment standards of professional employees into AI digital employees that can be put to work at any time and are configurable, approvable, and observable.
- ai-agent
- ai-platform
- digital-employee
- enterprise-ai
Ontology-Augmented Generation for AI agents.
Schema and generated objects for biolink data model and upper ontology
- biolink
- monarchinitiative
- gene-ontology
- datamodel
Bitemporal AI memory system: six-variable decay, time-graded recall, TTL expiry, dedupe, competitive retrieval (Neo4j + PostgreSQL + Redis)
TypeDB Bio: Biomedical Knowledge Graph
AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.
- ai-agents
- document-processing
- dspy
- entity-extraction
Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents