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Product Hunt Launch — TealTiger v1.2
Deterministic governance for AI agents — open source
Runtime governance engine for AI agents. Deterministic policy evaluation, secret detection, tool allowlisting, memory governance, and audit evidence. No LLM in the decision path. Same input + same policy = same decision. TypeScript, Python, Docker.
Hey Product Hunt! 🐯
We built TealTiger because existing guardrails solve the wrong problem for agentic AI.
Content filters answer "is this output safe?" — but agents don't just generate text. They call APIs, query databases, manage memory, and coordinate with other agents. The real question is: "is this agent allowed to do what it's about to do?"
TealTiger answers that question deterministically. No LLM in the governance path. Same input + same policy = same decision, every time.
What's in v1.2:
→ 7 governance modules running in parallel (secrets, registry, reliability, memory, audit, dashboard, evidence export)
→ "Most restrictive action wins" merge — a DENY from any module overrides ALLOW from all others
→ Docker sidecar — any language can call POST /evaluate over HTTP
→ 32 reason codes, 18 event types, 12 decision actions
→ SARIF + JUnit XML + JSON evidence export
→ Policy Library with 18 ready-to-use templates
→ 1,657 tests passing, sub-15ms evaluation latency
Three ways to use it:
1. `npm install tealtiger` (TypeScript)
2. `pip install tealtiger` (Python)
3. `docker run -p 8080:8080 tealtigeradmin/tealtiger-typescript:1.2-governance` (any language)
We'd love your feedback. What governance problems are you hitting with AI agents? What modules should we build next?
- Website: https://tealtiger.ai
- GitHub: https://github.com/agentguard-ai...
- Documentation: https://docs.tealtiger.ai
- Policy Library: https://docs.tealtiger.ai/policy...
- npm: https://www.npmjs.com/package/te...
- PyPI: https://pypi.org/project/tealtiger/
- Docker: https://hub.docker.com/u/tealtig...
About Product Hunt Launch — TealTiger v1.2 on Product Hunt
“Deterministic governance for AI agents — open source”
Product Hunt Launch — TealTiger v1.2 was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #10 on the daily leaderboard. Runtime governance engine for AI agents. Deterministic policy evaluation, secret detection, tool allowlisting, memory governance, and audit evidence. No LLM in the decision path. Same input + same policy = same decision. TypeScript, Python, Docker.
On the analytics side, Product Hunt Launch — TealTiger v1.2 competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Product Hunt Launch — TealTiger v1.2 performed against the three products that launched closest to it on the same day.
Who hunted Product Hunt Launch — TealTiger v1.2?
Product Hunt Launch — TealTiger v1.2 was hunted by New User. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Product Hunt Launch — TealTiger v1.2 including community comment highlights and product details, visit the product overview.
New User