Top agent proxy tools in 2026: what each one does and what to know before picking one

Top agent proxy tools in 2026: what each one does and what to know before picking one<br>Eight tools that sit between AI agents and the services they call. Not a comparison post. A walking tour of the category so you know what each is for, what it's good at, and where it'll bite you.<br>Priyansh KhodiyarMaintainer

May 20, 202612 min readagentsreferencetooling

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Top agent proxy tools in 2026: what each one does and what to know before picking one.

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"Agent proxy" is becoming the catch-all term for any tool that intercepts an agent's outbound traffic and does something useful with it: inject credentials, filter requests, log traffic, enforce policy, mock responses, or all of the above. The category is wider than people think, and the eight tools below all show up in real production setups for genuinely different reasons.

This isn't a comparison post. It's a survey. Each entry tells you what the tool is, what it's actually for, where it shines, where it doesn't, and what to know before you commit to it. The goal is to help you map your problem to the right shape of tool before you start picking on features.

The eight, grouped by what they solve:

Credential injection : Authsome, Agent Vault, Clawvisor, OneCLI

General-purpose interception and inspection : mitmproxy

API gateway with AI-aware features : Pomerium, Cloudflare AI Gateway

Mocking and testing : WireMock

Authsome

What it is : Local-first credential broker built specifically for AI agents on personal and dev machines. Python CLI plus a local daemon. MIT licensed.

The problem it solves : You have AI agents (Claude Code, Cursor, custom Python agents) that need credentials for dozens of services (GitHub, Linear, OpenAI, Stripe, Slack, etc.). You don't want those credentials in env vars, .env files, or shell history. Authsome holds them encrypted, refreshes OAuth tokens, and injects them at the proxy boundary so the agent process never sees the raw secret.

What's good :

44 bundled providers means you can authsome login github and the OAuth app, scopes, and refresh logic are all configured.

Device code flow works out of the box for SSH sessions.

Multi-account is modeled directly with named connections.

Runs on the same machine as your agent. No separate host to deploy. No PostgreSQL.

What's not :

Single-user oriented. There's no concept of "team admin sets policy that users inherit". For a team of 50 engineers, you'd run 50 instances.

The CLI surface is small but learning when to use connections vs profiles takes a minute.

Pick it if : You're a solo developer or small team where agents run on individual laptops. You want a local-first tool that doesn't add infrastructure.

Agent Vault

What it is : Open-source credential broker by Infisical, built as a Go binary that runs as a separate service. Web UI on port 14321, MITM proxy on 14322. github.com/Infisical/agent-vault.

The problem it solves : Production AI agents running in containers or VMs, with the credential vault running on a separate host. Multi-tenant from the ground up. The architecture explicitly assumes "don't run this on the same machine as your agent" because the threat model includes the agent host being compromised.

What's good :

Production-shaped: Docker-native deployment, multi-tenant, web UI included.

TypeScript SDK for orchestrators that need to mint short-lived tokens for ephemeral sandboxed agents.

The "different host from your agent" stance is the right security opinion for production.

Backed by Infisical, which has a track record in secrets management.

What's not :

Bring your own credentials. No bundled provider definitions; you configure each service yourself with the dummy-value substitution pattern (__anthropic_api_key__ etc.).

No automatic OAuth refresh. It's an API-key vault.

Heavyweight for the personal-laptop case.

Pick it if : You're deploying agents to production infrastructure where the broker runs on its own host. Multi-tenant team, ephemeral sandboxes, anything where the broker is a service.

Clawvisor

What it is : Open-source authorization gateway with task-scoped human approval. Hosted-first with self-host as an option. Includes LLM-powered intent verification on each request. github.com/clawvisor/clawvisor.

The problem it solves : Scenarios where the authorization layer matters as much as the credential layer. A user grants the agent a task scope ("read my emails, but ask before sending"), Clawvisor enforces that scope on every outbound call, and an optional LLM check verifies each request's parameters match the declared task purpose.

What's good :

Task-scoped consent is a genuine innovation. Most brokers treat "agent has the credential" as binary; Clawvisor treats it as scoped per task with a time bound and purpose.

LLM verification of intent on each call is useful for high-stakes agents (payments, deploys, customer-data...