Verification, memory and secure communication for AI agents.

Vexinter validates every operational action, maintains dynamic memory across sessions and encrypts every agent-to-agent message. The layer you need to take AI to production without losing control.

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verification streamdemo
audit chainverified · seq 4825
  • task.created
  • task.assigned
  • task.delegated
  • subtask.completed
  • tool.invoked
  • tool.returned
  • verifier.verdict
  • memory.retrieved
  • memory.lesson_extracted
  • message.sent
  • message.received
  • identity.enrolled
  • identity.credential_issued
  • execution.completed
  • recovery.executed
  • privacy.erased
  • loop.detected
  • mcp.proxied
  • hitl.resolved
  • state.observed
Platform

Three layers. A single trust protocol.

Vexinter sits between your agents and the real world, so every decision is verifiable, every memory useful and every message private.

Operational verification

Every agent action is validated against policies, permissions and context before execution, with auditable cryptographic proofs.

  • Declarative policies
  • Per-action evidence
  • Immutable log

Dynamic memory

Episodic, semantic and working memory that evolves with the agent, with retention control and per-agent scoping.

  • Contextual recall
  • Scheduled forgetting
  • Per-agent scoping

Secure communication

End-to-end encrypted channels between agents, with verifiable identity and per-recipient permissions.

  • Per-agent identity
  • E2E encryption
  • Per-recipient permissions
How it works

From first registration to agent-to-agent coordination.

  1. 01

    Register

    Every agent gets a cryptographic identity and an explicit set of permissions.

  2. 02

    Verify

    Before acting, intent is evaluated against policies and context in milliseconds.

  3. 03

    Remember

    The outcome and its trace are persisted in dynamic memory, ready for the next decision.

  4. 04

    Communicate

    Agents coordinate over encrypted channels with a verifiable sender and no intermediaries.

Developers

Build agents with formal guarantees in minutes

Explore Vexinter primitives: Python and TypeScript SDKs with interchangeable E2E envelopes, end-to-end encryption, HttpOnly cookie sessions and Prometheus observability.

Quick Integration Guide

Vexinter integrates transparently with your current stack. SDKs for Python 3.11+ and TypeScript/Node, production-ready examples. Select a section to see the code.

quickstart.py
Python 3.11+
1from vexinter.sdk import Task
2from vexinter.core.runtime import LocalRuntime
3from vexinter.demo import CrmAdapter, BillingAdapter
4
5# Initialize supervised runtime
6rt = LocalRuntime([CrmAdapter(), BillingAdapter()])
7
8# Run a task with a declarative condition
9with Task(rt, agent="support_bot", objective="Create customer and invoice",
10          condition={"op": "equals", "a": {"from": "crm", "path": "status"}, "b": "active"},
11          input={"email": "[email protected]"}) as t:
12
13    c = t.tools.crm.create_customer({"name": "Jane Doe", "email": "[email protected]"})
14    t.tools.billing.create_invoice({"customer_id": c.id, "amount": 150})
15
16    verdict = t.verify()
17    print(f"Compliance status: {verdict.status}")
Security

Built for environments where a mistake is expensive.

Finance, healthcare, critical operations: Vexinter assumes every agent can fail and builds the barriers so it doesn’t matter.

Zero-trust by default

No agent trusts another without a verified identity.

Per-agent keys

Automatic rotation and isolated cryptographic key material.

Exportable audit

Signed traces ready for your SIEM or compliance team.

Deploy in your cloud

Run Vexinter inside your VPC, your data never leaves your infrastructure.

Instant revocation

Cut an agent’s permissions or channels in real time.

Loop & failure detection

Alerts when an agent falls into a loop or a dependency keeps failing.

Plans built for autonomous agents

Scale your infrastructure with production-ready commercial licenses and an automated PAT generator.

Community

For developers evaluating Vexinter locally under the Fair Source License.

$0/mo
  • Up to 100 tasks per month
  • Hard limit when quota is reached
  • Support via GitHub Community
  • Automatic PAT generator
  • Priority 24/7 support
Start Free
Most Popular

Professional

For professionals and teams scaling production agent automations.

$99/mo
  • 5,000 tasks per month included
  • Soft limit + overage ($5 / 1k extra)
  • Automatic package credentials
  • Automated subscription provisioning
  • Priority email support (48h SLA)
Get Professional

Business

For organizations with massive deployments and high transaction volume.

$379/mo
  • 50,000 tasks per month included
  • Soft limit + overage ($3 / 1k extra)
  • Dedicated package credentials
  • Advanced webhooks and full audit
  • Dedicated support (8h response SLA)
Get Business

All plans are governed by our Terms of Service and the Community License (Fair Source). Commercial use of Vexinter requires an active subscription — the free tier is limited to non-commercial use.

Take your agents to production with confidence.

Vexinter validates every operational action, maintains dynamic memory across sessions and encrypts every agent-to-agent message. The layer you need to take AI to production without losing control.

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