Build agents that can
prove what they know.

Most companies are trying to scale autonomous agents on top of probabilistic systems without governance infrastructure.
Exogram is the deterministic control plane that gives them memory and accountability.

"Language models predict the next word. Exogram determines what that word is allowed to mean."

I built Exogram after hitting the same failure repeatedly across modern AI systems: LLMs can generate impressive outputs, but they still lack reliable verification, execution boundaries, and operational accountability.

Admissibility is an existential requirement.

Before & After

Without Exogram

The agent answers confidently — and incorrectly.

User: "What's my writing preference?"
Agent: "You prefer Oxford commas."
// ❌ Hallucinated - no facts stored

With Exogram

The agent queries state, finds nothing, and says "unknown".

User: "What's my writing preference?"
Agent: "Unknown - no preference stored."
// ✅ Honest - queried Exogram

Developers buy failure prevention, not features.

First API Call (5 Minutes)

If the ledger returns nothing, your agent must say "unknown."
That is a feature, not a failure.

Store a Verified Fact

POST https://api.exogram.ai/ledger/propose_state
Authorization: Bearer YOUR_API_KEY

{
  "claim": "User prefers no em-dashes in writing",
  "confidence": 0.95
}

// Response
{
  "status": "committed",
  "vector_stored": true,
  "id": "fact-abc123"
}

Query Verified Context

POST https://api.exogram.ai/ledger/semantic_search
Authorization: Bearer YOUR_API_KEY

{
  "query": "writing preferences",
  "top_k": 5
}

// Response
{
  "facts": [
    {
      "claim": "User prefers no em-dashes in writing",
      "confidence": 0.95,
      "timestamp": "2026-01-26T12:00:00Z"
    }
  ]
}

Developer Tier

$99/mo
  • Unlimited API calls
  • Unlimited API keys
  • Webhooks (event-driven)
  • Team ledgers
  • 99.9% SLA
Start Building