TaskForge Platform runs AI agents in sandboxed Docker containers with capability-based security. Agents start with mi...
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
OpenClaw
Model
Multiple
Fastest way to find out if openclaw-contained 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/romanklis/openclaw-contained ~/.claude/agents/openclaw-containedRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/openclaw-containedNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ ├─ agents/ │ └─ openclaw-contained/ ← installs here └─ settings.json
TaskForge Platform runs AI agents in sandboxed Docker containers with capability-based security. Agents start with minimal permissions and must request new capabilities (packages, network access, tools) through a human-in-the-loop approval process. Every approval triggers a container image rebuild, and every LLM interaction is logged for audit.
Source: GitHub repository
Source check: October 15, 2026
Upstream commit: October 14, 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.