Prometh

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Prometh: Effortless Knowledge Extraction and Retrieval

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#notes#documents#knowledge graph#information retrieval#structured outputs

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About Prometh

Cognee is an open-source agent memory platform that captures context, transforms it into graph memory, and allows AI agents to recall information across sessions. It provides a memory API that works with popular agents like Claude Code, Codex, and MCP clients, enabling agents to remember past work, decisions, and fixes instead of relearning every run. Cognee supports custom ontologies, permission controls, and a feedback loop to improve recall accuracy. It can be run locally via open-source or scaled on Cognee Cloud with usage-based pricing. Used in production at Bayer for agentic research memory, and trusted by engineers for use cases including journaling, deal intelligence, research, and technical knowledge bases.

Key Features

Effortless integration

Plug-and-play setup

Efficient knowledge extraction

Structured output

Enhanced querying capabilities

High accuracy and speed

Robust security

Large data volume handling

Optimization of data management

Automatic knowledge graph augmentation

Pros & Cons

Pros

Open-source and free to run locally forever
Easy 5-minute setup with pip install and quickstart
Works with popular agents and MCP out of the box
Graph memory provides organized, linked facts instead of flat context
Feedback loop allows continuous improvement of recall
Citations included in answers for auditing and trust
Scalable from solo devs to enterprise (Bayer case study)

Best For

Engineers: Optimizing data management and retrieval by integrating Cognee into existing systems.Data Scientists: Transforming unstructured data into a structured knowledge graph for enhanced querying.Corporations: Automating knowledge extraction and data enrichment processes.Educators: Streamlining note-taking and information retrieval for educational purposes.Researchers: Efficiently managing large volumes of research data and maintaining connections between key information nodes.Consultants: Building customized knowledge bases for clients, simplifying data querying and updating processes.Software Developers: Integrating advanced information retrieval capabilities into applications without extensive tuning.Content Managers: Organizing and structuring content for easier management and retrieval.Legal Professionals: Creating searchable databases of legal documents and regulations.Healthcare Professionals: Managing patient records and medical research efficiently with quick information retrieval.