MCP App StoreMCP App Store
from cognee16,521
A lightweight knowledge engine for agent memory: build searchable knowledge graphs from documents and use graph-aware search to give agents persistent, temporal
Cognee provides a compact Python API to ingest documents, build knowledge graphs, and run graph-aware searches so agents can store and reuse long-term and session-based memories. It supports ingestion (add), graph construction (cognify), enrichment (memify), and multiple search modes (graph, temporal, RAG, summaries).
Use Cognee when you need agent memory that persists across sessions, when you want graph-structured retrieval (multi-hop or temporal queries), or when you need scoped memories per user/project via datasets and NodeSets. Good for personalization, feedback loops, and improving agent behaviour over time.
add -> cognify -> search workflow, guidance on DataPoint models, NodeSets, and SearchType selection.Best used with Python-based agents and frameworks that can call async Python APIs (e.g., Codex/Copilot-style integrations, Python-backed agent runtimes).
Cognee is a knowledge graph engine for agent memory. The SKILL.md is a comprehensive, well-structured reference covering ingestion (add), graph building (cognify), search, NodeSets, DataPoints, feedback loops, and configuration. No bundled scripts to test. Pure documentation skill with async Python API examples throughout.
No scripts present — static analysis only. The skill is essentially a detailed API reference guide for the cognee library. Well-written with good progressive disclosure from simple to advanced usage. Example API key in config section is clearly a placeholder (sk-...), not a real credential.
Extract Circuit Netlist Edge Features
Extract structured edge features from a bipartite circuit netlist (NetworkX MultiGraph), normalizing device/net ordering, mapping terminal colors, and detecting
Caveman Compress
Compress natural-language memory files into a compact 'caveman' format to save LLM tokens while preserving code, links, and structure.
Markdrop
Convert PDFs to structured Markdown or interactive HTML and generate AI-powered descriptions for images and tables using multiple LLM providers.
Sandbox0 Integration
Guidance and templates for integrating Sandbox0 sandboxing into AI agents — CLI/SDK patterns, templates, volumes, network policy, and deployment choices.
FastAPI Project Templates
Creates production-ready FastAPI project scaffolds with async patterns, DI, middleware, and testing best practices for high-performance APIs.
Unitree Robot Controller
Control and command Unitree robots (GO1/GO2/G1/H1) via OpenClaw: initialization, basic motion commands, and sensor integrations.
Alpha Forge Pre-Ship Quality Gates
Pre-merge quality gates for PRs that validate RNG determinism, forked URLs, runtime parameter ranges, and manifest synchronization to reduce review cycles.
Plotly (Interactive Python Visualizations)
Interactive Python visualization skill for building hoverable, zoomable, and embeddable charts (Plotly Express + Graph Objects) for EDA, dashboards, and present