Persistent memory for AI agent teams: private silos, shared hive, and curator workflow.
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 100/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Claude
Fastest way to find out if memory-hive 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/TJCurnutte/memory-hive ~/.claude/agents/memory-hiveRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/memory-hiveNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ memory-hive/ ← installs here └─ settings.json
Persistent memory for AI agent teams: private silos, shared hive, and curator workflow.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 9, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.