Technoculture/personal-graph
Simple Graph Memory for AI applications
This tool helps AI developers build sophisticated memory for their AI applications, especially those using Large Language Models (LLMs). It takes raw text or structured information as input and transforms it into a searchable knowledge graph. The output is relevant contextual information that the AI can use to answer questions, maintain conversations, or recall past interactions. It's for developers building AI agents, chatbots, or intelligent systems that need to remember and apply learned information.
Use this if you are building an AI application that needs to recall past information or understand complex relationships from text, similar to how humans use working and long-term memory.
Not ideal if you need a simple key-value store or a traditional relational database for structured data without complex relational queries or AI memory requirements.
Stars
91
Forks
11
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/Technoculture/personal-graph"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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