Memgraph SDK is an open source memory layer designed for AI agents, enabling them to learn from their mistakes and provide transparent, traceable decision-making. The tool addresses common challenges in AI systems, such as the inability to explain decisions, repeated mistakes, and treating unverified guesses as facts. By integrating Memgraph SDK, AI agents can capture structured beliefs with confidence scores, maintain a full reasoning chain for each decision, and automatically adjust their knowledge based on outcome feedback, all without requiring retraining.
Key features include the storage of typed, structured beliefs rather than unstructured text, decision traces that record which beliefs were used and why, and a closed-loop learning system where correct outcomes reinforce beliefs and incorrect ones weaken them. Memgraph SDK also offers automatic contradiction detection, instantly flagging new information that conflicts with existing knowledge. The platform provides domain profiles pre-configured for areas such as finance, healthcare, legal, and agriculture, and supports integration with any large language model provider, including OpenAI, Anthropic, Google, Ollama, and self-hosted models, using the user's own API keys.
Integration with Memgraph SDK is streamlined, requiring only three lines of Python code. The process involves recalling relevant memories, using them with any LLM, and recording the outcome, which then automatically updates the agent's beliefs. 11 and above, and is delivered as a Python package installable via pip. Additional integrations mentioned include PostgreSQL, Python, Cursor, and VS Code. Memgraph SDK is self-hostable, supports multi-tenant isolation, and offers features such as confidence decay based on the Ebbinghaus curve and background consolidation (referred to as cognitive dreaming).
The tool is free and open source, with no lock-in, and is positioned as a cognitive infrastructure layer for AI agents. Its capabilities are designed to help AI systems explain their reasoning, avoid repeating errors, and maintain up-to-date, accurate knowledge through continuous outcome-driven learning.
In the Other AI space, memgraph-sdk takes a focused approach. It focuses on enabling AI agents to store, retrieve, and learn from structured memory and decision traces. memgraph-sdk is an open-source project aimed at AI agent developers. The project is open source (MIT). It runs on the web and the command line.
shubhamdev0 builds and maintains memgraph-sdk, and the product first shipped in 2026. The project is developed in the open on GitHub with 22 commits in the last 90 days. Across PulseGate's embedding index, memgraph-sdk has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are belief storage, semantic search, and decision trace tracking.
Latest indexed changes and source events
memgraph.ai discovered by the PulseGate indexer
Other apps tracked under the same category.
