We're building TealTiger — open-source runtime governance for AI agents. Deterministic policy enforcement, no LLM in the governance path, TypeScript + Python.
Instead of guessing what developers need, we want to hear it directly.
The offer: Describe your use case, and we'll pair with you on implementing governance. Free, hands-on, no strings.
Examples of what we can help with:
Tool-call authorization (which tools can this agent use?)
Secret detection (catch API keys in prompts/responses)
Cost budgets with anomaly alerts
Audit trails (reconstruct why a decision was made)
Memory governance (what's safe to persist?)
Circuit breakers (stop cascading failures)
What you get: A working governance setup for your stack. What we get: Real-world feedback that shapes the roadmap.
Comment below or open a discussion on GitHub: https://github.com/orgs/agentguard-ai/discussions/32
No use case is too small. "I just want to stop runaway API costs" is a great starting point.
Top comments (0)