One framework runs every agent.
Every Thanos Labs AI agent works from the same framework: the same knowledge packs, the same Data Engine, the same checks, and the same Partnership Code. This page opens the framework up, agent by agent, with the primary & secondary frontier model each agent runs and the third party signals each agent actually uses. We practice what we preach: nothing is listed here until it is wired and verified.
16
named AI Agents
7
live today
9
in development
1,285
checks across 8 areas
The shared framework
Six layers sit under every agent, whether the agent writes copy, runs a scan, or answers the phone. The layers are shared on purpose: one change to a knowledge pack or a check improves every agent that works from it.
The agents, framework by framework
Open any agent to see its remit, its checks, its primary & secondary frontier models, and the third party signals it actually uses today. Agents still in development carry the pairings they will ship with, and their signals connect as they ship. The checks behind the roster total 1,285 across the 8 areas of Checks Inventory v3.
How the agents work together
One shared Data Engine
Every agent reads from the same evidence, gathered once. A fact learned in one scan is available to every other agent that touches the same client.
Lessons shared back
What one agent learns on an engagement is written back into the shared knowledge packs, so one agent's engagement teaches the rest of the roster.
A second model checks the first
Inside each discipline, the secondary frontier model checks the primary model's work before anything reaches a client or a human reviewer.
Thanos orchestrates
Thanos coordinates the roster under the Partnership Code: work is routed to the right agent, held to the same standards, and stopped at the human approval gate.
Proof, not promises
The framework is graded, not asserted. Our agents sit a known answer test program of 213 tests with answers a human has already settled, so a model's work is measured against the truth instead of against its own confidence. The results decide where each frontier model earns its place in the pairings above, and the pairings are reviewed when the results say a model has been leapfrogged.
The same honesty runs through the scans: every scanner names its census of checks and the signals behind its score, and says plainly what it did not check. A scanner that cannot see something says so, in the result, where a client can read it.
See Thanos in action
The scanners are the framework with its sleeves rolled up. Run one on your own site, or book a call and we will walk the results with you.