Long-running fleet orchestration and memory infrastructure for AI agents. Enables persistent context, shared memory,...
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 50/100. no security policy. 6 open issues make this testable, but not something to trust blind.
AI Agent
OpenClaw
Model
Multiple
Fastest way to find out if memclaw-long-run-fleet 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/caura-ai/memclaw-long-run-fleet ~/.claude/agents/memclaw-long-run-fleetRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/memclaw-long-run-fleetNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ memclaw-long-run-fleet/ ← installs here └─ settings.json
Long-running fleet orchestration and memory infrastructure for AI agents. Enables persistent context, shared memory, task execution, and governed coordination across multi-agent systems.
Source: GitHub repository
Source check: July 23, 2026
Upstream commit: July 23, 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.