bmdhodl/agent47
by Various
Your AI agent just burned $200. AgentGuard stops it at $5. Runtime cost guardrails for AI agents — budget enforcement, loop detection, kill switch. Zero dependencies, MIT licensed.
MCP
bmdhodl/agent47
Added 7 June 2026
Overview
AgentGuard is a Python library that enforces runtime cost guardrails for AI agents. It provides budget enforcement, loop detection, and a kill switch to prevent runaway spending. The tool has zero dependencies and is MIT licensed.
Best for
Best for
Developers building AI agents who need a lightweight, no-frills cost guardrail
Use cases
- Set a hard budget cap on agent API calls to avoid cost overruns
- Detect and halt infinite loops in agent execution
- Implement a kill switch to manually stop an agent mid-task
Notes
AgentGuard is a Python library that enforces runtime cost guardrails for AI agents. It provides budget enforcement, loop detection, and a kill switch to prevent runaway spending. The tool has zero dependencies and is MIT licensed.
3 stars on GitHub. Last updated 2026-06-07. Licensed MIT.
Use cases
- Set a hard budget cap on agent API calls to avoid cost overruns
- Detect and halt infinite loops in agent execution
- Implement a kill switch to manually stop an agent mid-task
Pros
- Zero dependencies makes it easy to integrate
- MIT license allows unrestricted use and modification
- Simple, focused solution for a common cost problem
Cons
- Limited to Python environments only
- No built-in monitoring or alerting beyond the kill switch
- Small community and limited documentation due to low stars
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Zero dependencies makes it easy to integrate
- MIT license allows unrestricted use and modification
- Simple, focused solution for a common cost problem
Cons
- Limited to Python environments only
- No built-in monitoring or alerting beyond the kill switch
- Small community and limited documentation due to low stars