I gave my robot physical memory – it stopped repeating mistakes
Robot Memory - Persistent memory system for AI robots. MCP Server + hybrid search + spatial retrieval. - robotmem/robotmem
I gave my robot physical memory – it stopped repeating mistakes launched on March 9, 2026 with 18 votes, #910 of 23,380 launches that month and more than 90% of that year's launches.
In plain words
This project demonstrates how adding physical memory mechanisms improves robot behavior. By equipping a robot with the ability to retain and reference past experiences, the developer shows that it becomes better at avoiding repeated errors. The work is shared on GitHub for developers and roboticists interested in memory systems for autonomous machines. It explores practical approaches to learning from history in robotic applications.
written from the facts on this page · September 2026
From the sources
Your robot ran 1000 experiments, starting from scratch every time. robotmem stores episode experiences — parameters, trajectories, outcomes — and retrieves the most relevant ones to guide future decisions. FetchPush experiment : +25% success rate improvement (42% → 67%), CPU-only, reproducible in 5 minutes. pip install robotmem from robotmem import learn , recall , save_perception , start_session , end_session # Start an episode session = start_session ( context = '{"robot_id": "arm-01", "task": "push"}' ) # Record experience learn ( insight = "grip_force=12.5N yields highest grasp success rate" , context = '{"params": {"grip_force": {"value": 12.5, "unit": "N"}}, "task": {"success":…from github.com
Does a similar job
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