AI agents are powerful, but what happens when they go rogue? Here's how to add safety controls to ANY AI agent in 5 lines of code.
The Problem
Coding assistants can delete files. Autonomous agents can spawn more agents. Trading bots can drain wallets. We need guardrails.
The Solution: Runtime Fence
python
pip install runtime-fence 5 Lines of Code
python
from runtime_fence import RuntimeFence, FenceConfig
fence = RuntimeFence(FenceConfig(
agent_id="my-agent",
blocked_actions=["delete", "exec", "rm"]
))
result = fence.validate("delete", "important_file.py")
if not result.allowed:
print(f"BLOCKED: {result.reasons}")
That's it. Your agent now has a safety layer.
Works With Everything
✅ LangChain
✅ AutoGPT
✅ Copilot/Cursor/Aider
✅ Custom agents
✅ Trading bots
✅ Data analysts
Real Examples
Stop Cursor from deleting files:
python
fence = RuntimeFence(FenceConfig(
blocked_actions=["rm", "delete"],
blocked_targets=[".git/", ".env"]
))
Limit AutoGPT spending:
python
fence = RuntimeFence(FenceConfig(
spending_limit=50.0,
blocked_actions=["spawn_agent", "modify_self"]
))
Emergency stop ANY agent:
python
fence.kill("Suspicious activity detected")
Why It Matters
As AI agents get more autonomous, accidents happen:
Coding assistants accidentally delete production code
Autonomous agents modify their own config
Data bots export sensitive PII
Runtime Fence adds the missing safety layer.
Try It
GitHub: https://github.com/RunTimeAdmin/ai-agent-killswitch
PyPI: https://pypi.org/project/runtime-fence
Works 100% offline, no signup required
Open source (MIT). Built by developers who got tired of AI accidents.
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