memgraph-sdk

Memgraph AI is a memory layer for AI agents that is described as helping them learn from mistakes. It is presented as a tool for situations where AI decisions cannot be explained, mistakes are repeated, and guesses are treated the same as proven facts.

Its core workflow has four steps: capture, decide, record, and improve. Conversations are turned into structured beliefs with confidence scores rather than flat text in a vector store. It records a full reasoning chain showing which beliefs were used, how confident they were, and why an answer was chosen. After an outcome is recorded, right beliefs are reinforced and wrong ones weaken, and the page says the same mistake should not happen twice. The listed capabilities also include contradiction alerts when new information conflicts with existing knowledge, and domain profiles for finance, healthcare, legal, and agriculture.

Memgraph AI is shown working with PostgreSQL, Python, Cursor, and VS Code. The integration flow is described as three calls: recall, decide, and record, and the example code is in Python. The page also says it works with OpenAI, Anthropic, Google, Ollama, and self-hosted models, and that it uses the user’s own keys. A quickstart example shows installation with pip as memgraph-sdk. The product is described as free and open source, and the page includes references to GitHub, documentation, a live demo, and an FAQ. It also states that the first five listed capabilities are unique to Memgraph AI.