#1 Persistent memory for AI coding agents based on real-world benchmarks
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health unknown. no security policy. 135 open issues make this testable, but not something to trust blind.
AI Agent
Universal
Model
Multiple
Fastest way to find out if agentmemory belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/rohitg00/agentmemory ~/.claude/agents/agentmemoryRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/agentmemoryNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ agentmemory/ ← installs here └─ settings.json
#1 Persistent memory for AI coding agents based on real-world benchmarks. An open-source agent for the AI coding ecosystem.