Open source memory for agentic AI
Give AI systems memory that lasts.
HumemAI is an open source organization. We publish research, code, and benchmarks for a memory layer that stays persistent across sessions, adapts to mixed data types, and remains inspectable instead of turning into a black box.
Why memory
Most agents still behave like stateless interfaces with better wording.
HumemAI focuses on what should persist beyond a prompt: what happened, what matters now, and how structured knowledge should stay available over time. That means treating memory as a real system layer instead of a side effect hidden in context windows.
The result is a stack that can hold documents, tables, graphs, and traces in forms that remain inspectable, replayable, and useful to both people and agents.
Open source
Everything we make is free to use, modify, and redistribute.
The code, Python packages, benchmarks, and papers are published under open licenses.
Contribute
Built in the open, with anyone who wants to help.
Issues, pull requests, benchmark reports, and research collaborations are all welcome. Pick a project and start from its repository on GitHub.
Open source projects
Open source projects shape the work.
Explore the main open source threads behind HumemAI, then move into dedicated project pages for the systems, papers, and implementations inside each one.
Audit-Ready Memory
A public-interest project building local-first, inspectable memory infrastructure for AI systems that need audit trails, deterministic replay, and explicit deletion.
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Multi-Model Databases
A systems project exploring how tables (SQL), graphs (Cypher), and semantic vector search (ANN search) can coexist in one developer experience without pretending one engine should do every job.
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Machines With Human-Like Memory
A PhD research project on explicit memory architectures for AI, spanning benchmarks, handcrafted agents, learned policies, and temporal knowledge-graph memory.
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Latest news from the projects.
Recent writing, releases, research, and benchmark updates from HumemAI.
