gamAI
Trust layer for AI agents with deterministic gating, isolated execution, and proof for every action
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A trust layer for AI agents that uses deterministic gates before models, isolated execution environments, and cryptographic proof for every action to prevent
About gamAI
gamAI provides a trust layer for AI agents that solves problems of unverified claims and untrustworthy execution. It uses a deterministic gate to decide before the language model runs, preventing unnecessary token consumption and blocking risky actions. Execution is isolated using sandboxing and micro-VMs when needed, with boot times of 1.846 seconds and restore times of 2.286 milliseconds.
Every action is recorded with append-only JSONL logs and SHA-256 manifests for complete auditability. The system measures honesty under load using a claim-vs-truth protocol across eight heterogeneous nodes, achieving 0.43% false claim rates on over 12,344 recorded actions. Features include 49% UI grounding capability, 95.2% tool calling accuracy, and 31.6 milliseconds p50 task latency.
The platform provides fleet management with a trust plane for machines, idempotent jobs, and comprehensive audit trails. It supports OpenAI-compatible endpoints, MCP, Docker, Kubernetes, and Qdrant, with no vendor lock-in. All components are open source under Apache 2.0 and MIT licenses with green CI pipelines.
- open-source
- ai agents
- verification
- benchmarking
- sandbox
- audit
- trust layer
Features worth knowing
- Deterministic gate that decides before running language models
- Isolated code execution with sandboxing and micro-VMs
- Append-only audit logs with SHA-256 manifests and hash-chained verification
- Honesty measurement under load across multiple nodes
- Fleet management with trust plane for machines
- OpenAI-compatible endpoints and MCP support
- 49% UI grounding capability on 600 tasks
- 95.2% tool calling accuracy
- 31.6 milliseconds p50 task latency
- 0.43% false claim rate on 12,344 recorded actions
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gamAI metrics
| Metric | Value |
|---|---|
| Domain Rating | 0 no change since last check |
| Trust Flow | 4 no change since last check |
| Citation Flow | 15 no change since last check |
| Referring domains | 3 no change since last check |
| External backlinks | 17 no change since last check |
Ahrefs Domain Rating scanned 6 Nov 2026, updated 5 Nov 2026. Main topic: Regional/Asia (4). Majestic scanned 5 Nov 2026, updated 5 Nov 2026. Link stats via Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
gamAI domain facts
Reveal the domain facts
| Domain age | 2 months |
|---|---|
| Registered | |
| Expires | |
| Registrar | NameCheap, Inc. |
| DNSSEC | Not signed |
gamAI launch results
| Measure | At launch, then latest |
|---|---|
| Domain Rating (Ahrefs) | 0 first measured 5 Nov 2026 |
| Trust Flow (Majestic) | 4 first measured 5 Nov 2026 |
| Referring domains (Majestic) | 3 first measured 5 Nov 2026 |
Day 0 since launch. Next receipt: day 30, 5 Dec 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.
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FAQ
- What makes gamAI different from just running AI agents normally?
- gamAI decides deterministically before the language model runs, blocks risky actions before they execute, and provides cryptographic proof for every action taken. This prevents false claims, unnecessary token consumption, and unverified results that typical AI systems allow.
- How is code execution isolated in gamAI?
- gamAI uses sandboxing techniques like srt and bubblewrap for lightweight isolation, and Firecracker micro-VMs for stronger protection when needed, with measured boot times of 1.846 seconds and restore times of 2.286 milliseconds.
- How does gamAI verify that agents are being honest?
- gamAI uses a claim-vs-truth protocol run across eight heterogeneous nodes to measure honesty under load, catching false successes with a measured 0.43% false claim rate across 12,344 recorded actions.
- Is gamAI open source?
- Yes, gamAI publishes 22 open source repositories under Apache 2.0 and MIT licenses with verified green CI pipelines. The repositories can be reproduced with mirror and SHA-256 manifest verification.
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