The memory runtime for AI agent platforms. Atomic writes, in-narrative time, first-class deletion - so agent intellig...
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. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Universal
Model
Claude
Fastest way to find out if tracebase 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/64envy64/tracebase ~/.claude/agents/tracebaseRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/tracebaseNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ tracebase/ ← installs here └─ settings.json
The memory runtime for AI agent platforms. Atomic writes, in-narrative time, first-class deletion - so agent intelligence compounds at the company level, not the model.