If your agents exchange embeddings for memory, context, or tool responses, Mnemo applies. Rule-based or pure-API agents without embedding exchange are out of scope.
02Why it matters
Agents should verify data before acting.
A central broker becomes a single point of failure. Bilateral trust agreements grow quadratically with the fleet. Skipping the question works until something fails. Each option breaks at scale.
03What this does
One endpoint. Agents call verify before acting.
Trust Guardian runs alongside your fleet. When agent A reads an embedding from agent B, A calls verify() through the MCP server. New agents inherit the verification model.
04Scope
What Mnemo does not do.
Does not orchestrate agents
Does not replace your system
Does not analyze agent reasoning
Does not moderate content
Mnemo focuses on one layer: attaching identity to embeddings and verifying them when they are used.
05Who this is for
CTO at AI platforms. Head of Agent Engineering. Platform leads on agentic infrastructure.
06Why teams adopt it
Removes the agent-count ceiling caused by bilateral trust.
Inter-agent verification becomes a programmatic check.
Multi-vendor agent ecosystems become possible.
Audit evidence is produced as a byproduct.
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