mono-research provides persistent experiment memory for autonomous research agents. It enables agents to retain context, track experimental results, and build upon previous findings across sessions. Designed for developers building long-running AI research systems.
In the AI & ML space, mono-research takes a focused approach. Autonomous AI research agents losing context and memory between experiments. It is built as an open-source project for AI developers. The project is open source (AGPL-3.0). mono-research is available on the command line.
vano04 builds and maintains mono-research, and it first shipped in 2026. Development happens publicly on GitHub with 53 commits in the last 90 days. Among its 3 catalogued features are Experiment Memory, Agent Persistence, and Research Tracking. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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