Anima vs Proxy.ai: Communication Layer vs Intent Policies
Proxy.ai governs what an agent may intend. Anima gives it an identity and the channels to act. A technical comparison of both approaches.
Infrastructure for Agent Identity#
Building agents that can interact with the real world requires more than just a LLM and a tool-calling loop. It requires a stable, verifiable identity that legacy systems can recognize. Proxy.ai and Anima take fundamentally different approaches to how that identity is constructed and used.
Intent Policies vs Communication Layer#
Proxy.ai focuses on intent-based policy enforcement for agents. Their system runs your agent's actions through a proprietary policy engine that determines if a transaction fits a predefined "intent."
Anima treats communication and identity as the missing primitive. We prioritize the channels every legacy web service expects from a real user — email, phone, SMS, and voice — under a single agent identity, with server-side compliance gates and a unified audit log.
Beyond the Policy Engine#
The biggest differentiator is the depth of the identity. Proxy.ai provides intent-based control, but an agent often needs more than that to complete a task. It needs to receive 2FA codes, store merchant passwords, and correspond with support teams via email.
Anima provides a complete identity stack:
- Deterministic Email: Dedicated MX/SMTP infrastructure for every agent.
- Phone & Voice: Real numbers for SMS verification and automated voice interactions, behind a server-side TCPA consent gate.
- Identity Vault: Secure, encrypted storage for merchant credentials, API keys, and PII.
Code Comparison: Provisioning an Identity#
Using the Anima SDK, you can provision a complete agent identity in a single call.
import { Anima } from '@anima-labs/sdk';
const anima = new Anima({ apiKey: process.env.ANIMA_API_KEY! });
const agent = await anima.agents.create({
orgId: process.env.ANIMA_ORG_ID!,
name: "Procurement Agent 01",
slug: "procurement-01"
});
// The inbox comes with the agent — no separate provisioning step
console.log(agent.emailIdentities[0]?.email);
// procurement-01@agents.useanima.sh
// A number is one call, on the same agent
const phone = await anima.phones.provision({
agentId: agent.id,
countryCode: "US",
capabilities: ["voice", "sms"]
});Proxy.ai's proprietary approach often requires mapping specific LLM outputs to their internal intent objects. Anima gives you direct access to the underlying communication channels through a unified API.
Summary of Differences#
| Feature | Proxy.ai | Anima |
|---|---|---|
| Primary Focus | Intent Policies | Unified Identity |
| Email/SMS | No | Native |
| Voice | No | Native (server-side TCPA consent gate) |
| Password Vault | No | Native |
| Audit Trail | Per-action | Cross-channel correlation |
If you need intent-based policy enforcement for an agent, Proxy.ai is a solid choice. If you need a comprehensive identity that includes communication, voice compliance, and credential storage, Anima is the standard.