The control plane for enterprise agent systems

Air-traffic control for your AI agents.

AgentGuide puts registered agents and gateway-routed model and tool traffic on one radar. Observe everything, govern with policy, and orchestrate fleets of agents that collaborate on real enterprise work — all through a single gateway you run yourself.

live traffic — one control plane Applications Coding CLIs Services AGENTGUIDE route + virtual keys credential pool builtin agent host policy + limits observe · govern orchestrate usage events + traces agents ACP agents codex · opencode HTTP identity execution roadmap resources LLM providers openai, claude, … MCP tools governed services ① call the gateway → ② drive an agent → ③ agents call back for LLM / MCP → ④ proxied upstream builtin agents run ②③ in-process — every hop observed
2execution runtimes — Builtin and ACP
10built-in LLM provider types
8built-in orchestration topologies
4typed usage-event families

Why a gateway

Agents are easy to launch. They are hard to run.

Once agents call models, invoke tools, and spawn other agents, nobody can answer the basic questions: what did it cost, who approved that action, which agent broke production? AgentGuide sits on the path of routed calls and turns agent traffic into something you can see, control, and compose.

Observe

Gateway traffic becomes structured evidence

LLM requests, MCP tool calls, and agent turns produce persisted usage events — tokens (including cached and reasoning tokens), latency, and errors. Agent-bound traffic is attributed when ownership is unambiguous; builtin turns carry explicit attribution.

Observability →
Govern

Policy at the gateway, not in every app

Virtual keys for consumers, pooled and scheduled upstream credentials, interactive permission gates for agent actions, recursion-depth limits, and fail-closed concurrency and timeout controls.

Governance →
Orchestrate

Compose agents into real workflows

Run agents inside the gateway today with declarative topologies — sequential, parallel, supervisor, plan-execute and more. Gateway-owned tasks and workflows across independent agents are the next control-plane layer.

Agents & orchestration →

Not another agent framework — AgentGuide orchestrates agents from the outside, whatever they're built with. How it relates to LangGraph, AutoGen & co →

Three identity models, one control plane

Bring the agent you have. Or build it in the gateway.

Every registered agent — wherever it runs — gets one first-class identity: routes, resources, policy, usage, and health, all managed from a single control plane.

runtime · builtin

Builtin agents

Declared as configuration, materialized inside the gateway — no separate process. The deepest option: inner model calls and tool executions are traced individually, and orchestration topologies are first-class.

runtime · acp

ACP agents

The gateway owns the lifecycle of Agent Client Protocol agents such as Codex and OpenCode: process pooling, sessions and transcripts, streaming turns, and permission decisions routed through your policy.

identity · http · roadmap

HTTP agents

Agents on your infrastructure can register as first-class identities with resource and route references. Direct HTTP task dispatch is part of the external-task roadmap; it is not yet an execution backend.

one agent identity routes resources policy usage health

Product direction · multi-agent collaboration

Workspaces and workflows turn agents into a workforce.

Single agents answer questions. Fleets of agents deliver projects. AgentGuide is built toward the second. Today it provides the runtime, identity, topology, permission, and observability foundations; shared mission workspaces and workflows across independent agents are the next layer.

shipping now · workspace view

See the agent in one place

The per-agent workspace aggregates definition, runtime state, linked resources, pending permissions, usage, interactions, and shallow health.

shipping now · builtin topology

Compose inside one governed turn

Inline sub-agents collaborate through plan-execute loops, supervisor delegation, and parallel fan-out, with model and tool calls traced beneath the turn.

building next · tasks & workflows

Coordinate independent agents

Durable tasks, scheduling, cross-runtime hand-offs, artifact lineage, budget enforcement, and compliance-grade audit are roadmap capabilities built on the foundations shipping today.

The foundation

A serious LLM & MCP gateway underneath.

Orchestration is only as trustworthy as the layer it stands on. AgentGuide ships a production LLM gateway and MCP gateway in the same binary.

llm gateway

One API over every provider

  • OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Zhipu, OpenRouter, Ollama and more
  • OpenAI- and Anthropic-compatible endpoints, plus a Claude Code-ready profile
  • Logical model routing: one model name, many candidate providers, automatic fallback
  • Credential pooling with scheduling — including CLI subscription credentials (Codex, Claude Code)
Platform details →
mcp gateway

Tools as governed infrastructure

  • Register MCP services once; expose them through routes with auth policy
  • Tool discovery, execution, and in-flight request inspection
  • Fail-closed tool selection — a missing tool is an error, never a silent skip
  • Persisted tool calls share one event model, with agent attribution when ownership is clear
MCP details →

Get started

One binary. Your infrastructure. Full control.

AgentGuide deploys as a single self-hosted binary — no required control-plane SaaS. Outbound traffic goes only to providers and services you configure.