Python · Knowledge graphs

Installs the cognee AI memory library in a Python environment, sets the LLM key and gets a first remember and recall script running with the Python SDK.

topoteretes/cognee

Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.

Egonex-AI/Understand-Anything

Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.

google-deepmind/science-skills

Defines the shape of cognee's knowledge graph with graph_model: DataPoint node classes, identity and index fields, typed edges and fixes for duplicated nodes.

topoteretes/cognee

Shows how to write custom cognee tasks, chain them into pipelines, store custom DataPoints and run enrichment over the existing graph.

topoteretes/cognee

Give a Python agent (such as Hermes Agent by Nous Research) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client…

liliang-cn/cortexdb

Explains how cognee stores session memory by session_id and bridges it into the permanent graph with improve(), including the stages, results and settings.

topoteretes/cognee

Access the Agora Knowledge Commons to search for concepts, resolve [[wikilinks]], and explore the distributed knowledge graph.

flancian/agora

Explains how to load text, files, folders, URLs, repositories and databases into cognee memory with remember(), including datasets, extractors and tags.

topoteretes/cognee

Guide for using OptimusKG, the biomedical knowledge graph, through the optimuskg Python client.

mims-harvard/OptimusKG

Answers questions about code structure, history, bugs and PR risk using a CodeScope knowledge graph and semantic index built from the repository.

QwenLM/qwen-code

Explains how to query cognee agent memory with recall(): how the search type is chosen, how to narrow a query to datasets, and what the returned results contain.

topoteretes/cognee

Analyzes one research paper in depth, writing a structured note on its methods, experiments and limitations and adding it to a paper relationship graph.

LigphiDonk/Oh-my--paper

Use CodeScope to analyze any indexed codebase via its graph database (neug) and vector index (zvec).

QwenLM/qwen-code-examples

Build and query an evidence-lined GEO knowledge graph from approved source bundles.

yaojingang/GEOHub

Builds and troubleshoots TorchDrug 0.2.1 workflows for molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, protein representation learning, and…

K-Dense-AI/scientific-agent-skills

A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph.

github/awesome-copilot

Deploy OpenCTI (Filigran) via Docker Compose and use the pycti Python client to model threat actors, intrusion sets, campaigns, and indicators as a STIX 2.1 knowledge graph with relationships (uses…

mukul975/Anthropic-Cybersecurity-Skills

Neo4j Python Driver v6 — driver lifecycle, executequery, managed and explicit transactions, async (AsyncGraphDatabase), result handling, data type mapping, error handling, UNWIND batching…

neo4j-contrib/neo4j-skills

Use Neo4j GenAI Plugin ai.text. An agent skill from neo4j-contrib/neo4j-skills.

neo4j-contrib/neo4j-skills

Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+).

neo4j-contrib/neo4j-skills

All-in-one Python library for NLP, agents, and knowledge graphs

wentorai/research-plugins