Govern every AI agent. On any cloud.
Your model vendor shouldn’t be your governance vendor. MyAGI is the control plane every AI call runs through, for policy, budget, safety, and audit, independent of your cloud. Tokens at cost, no middleman margin, and no lock-in.
one governed path · every agent · every cloud
- 01routematched intent: ask-myagi
- 02the walltenant isolated: public-demo
- 03budget$0.0004 of $5.00 daily cap
- 04safety inon topic, no injection
- 05inferencegemini-2.5-flash · any cloud
- 06safety outclean, no never_list hit
- 07audithash 9f2c…a17e, chained
AI is infrastructure. And it stacks.
Every company deploying AI assembles the same four layers, whether they choose each one or let a vendor choose for them. The danger is never a single layer. It is letting one vendor own two adjacent layers at once, because that is the moment your pricing power and your freedom to move quietly disappear.
Your AI — apps & agents
Your booking agent, your GPT app, your tooling. Where your differentiation lives.
Governance — the control plane
Identity, policy, budget, audit, routing, memory, safety. Whoever owns this holds the keys.
Inference — the models
OpenAI, Anthropic, Google, open weights. Converging on a common shape and swappable.
Cloud — the compute
AWS, Azure, Google Cloud. Three players, and that's it. Data has gravity.
Lock-in compounds when one vendor owns two layers.
A hyperscaler owns the cloud, resells the models on top (Bedrock, Azure OpenAI, Vertex), then pushes its own agent governance above that. Own three layers of your stack and leaving becomes impossible. Their governance meter exists to grow their bill, not to cap it.
Keep governance neutral, and the rest stays swappable.
You will have a governance layer either way. Make it a cloud-agnostic one and cloud stays a commodity, models stay swappable, and your memory, rules, and logs stay yours. The only question is whether you chose that layer, or a vendor chose it for you.
Three ways to get a governance layer. One keeps it yours.
Every serious AI deployment needs governance. The choice is who owns it, how free you stay to leave, and what it costs you per call.
Cloud-locked planes
AWS Bedrock AgentCore · Azure AI Foundry · Google Vertex Agent Engine
Turnkey, but they tie your identity, memory, policy, and logs to one cloud, and they only govern agents inside their own runtime.
Portability
Locked in. Your model vendor is also your governance vendor.
Cost
Their margin on every token you spend, with the best surfaces quote-only.
Point tools, stitched
LiteLLM · Portkey · LangSmith · Arize · Lakera · NeMo
Each does one slice — a gateway here, eval there, guardrails elsewhere. You own the integration, the seams, and the drift.
Portability
Movable, but fragile: no tenant wall, no shared audit.
Cost
Engineering time to stitch and maintain, forever.
MyAGI — unified, agnostic
One cloud-agnostic governance plane that does the whole job
Policy, budget, safety, memory, and a tamper-evident audit on one path, over any cloud and any model. Move either without re-platforming.
Portability
Cloud- and model-agnostic. Swap either without re-platforming.
Cost
Tokens at cost, cached and routed. No middleman margin, up to 3.8x lower.
The rule the whole market runs on: never let one vendor own two layers of your stack at once. A neutral governance plane is how you keep the cloud a commodity, the model swappable, and the bill honest.
One platform for governed AI, on any cloud
Governance is most of the real cost of running agents at scale, and the layer that locks you in hardest. MyAGI owns that layer for you, on one path, over any cloud, at token cost, so it is checked and audited in one place instead of inside each app.
One governed path
Every model call runs the same checked path, so governance lives in one place instead of inside each app.
The wall
Tenant isolation is structural and default-deny; one tenant can never reach another's data.
Hard budget caps
Spend caps are checked before the model key is ever accessed; over cap, the call is denied loudly, never silently downgraded.
Portable by default
Cloud-agnostic and model-agnostic. Swap either without re-platforming, so you keep your pricing power and your freedom to move.
Eval gate that fails closed
A new version is certified against a golden set before it can serve.
Tamper-evident audit
Every governed decision is recorded with provenance to a hash-chained log, built to pass an org or government audit.
What every call passes through, in order
Every turn runs the same seven gates in the same order. The model key is the last thing reached, only after every gate ahead of it has cleared.
Routing
- Resolves intent and applies a topic gate before anything else runs
- Empty or oversized requests are declined loudly, not absorbed
The wall
- Tenant isolation is default-deny: no allow rule means deny
- A request for one tenant can never reach another tenant's data
- Isolation is structural, not policy you can forget to set
Budget
- Hard daily caps are checked before the model key is ever touched
- Over cap, the call is denied loudly, never silently downgraded
Safety in
- A topic fence keeps the input inside what the system may do
- The never_list screens the input before it can reach inference
Inference
- The managed model call runs here, not a moment earlier
- The key is reached only after every gate ahead of it has passed
Safety out
- The never_list screens the output before it returns to the caller
- PII and policy violations are blocked, not just flagged
Metering + audit
- Usage is recorded with provenance for every decision
- Entries land in a tamper-evident, hash-chained log
An eval gate that fails closed.
A new version is certified against a golden set before it can serve. If it does not pass, it does not ship: the gate fails closed, not open.
Ask it. Watch it govern the call.
This runs on the real MyAGI public instance. Every answer comes back with its governance trace, the same path the panel above shows.
This runs on the real MyAGI public instance, tenant public-demo. Every answer is governed and traced, walled off from all private data.
We score ourselves the same way we score everyone else.
The Open Agent Registry is open source: the rubric, the scanner, and the committed dataset are all public, so you can check our scores yourself. And this site is governed by the platform it describes. The live chat above proves it.
- 1,425+
- sites scored
- 13
- signals per site
- Apache 2.0
- license
- Community
- governance
Get early access to MyAGI
MyAGI is in private beta. Leave your email and we will reach out as we open governed instances. It is free, no credit card.
What beta includes
- A governed instance to build on
- The full governed path, where every model call is checked and audited in one place
- A direct line to the team to shape the platform
- No credit card during beta
during private beta
We read every request. No spam.
Frequently asked questions
Own your governance layer with MyAGI
Govern every AI agent, on any cloud, before a vendor picks the layer for you. Private beta, free, no credit card, and a direct line to the team building it.