Open-Source Agent Infrastructurev5.2

TheOperatingSystem
for AI Agents

Build, deploy, and manage production AI agents with 28 integrated modules. Agent registry, budgets, memory, workflows, RAG, and more — all in one platform.

Define AgentGPT-4o · Claude · Gemini
Attach Tools30+ integrations
Set Budget$50/day limit
DeployOne-click launch
MonitorReal-time metrics
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Feature Modules
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Workflow Nodes
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LLM Providers
0
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Uptime SLA

The Problem with AI Agents Today

Teams ship agents fast, but production demands more than a prompt and an API key.

Problem 1

No Visibility

Agents run as black boxes. You can't see what they're doing, how many tokens they burn, or why they fail.

$
Problem 2

Runaway Costs

A single misconfigured agent loop can drain your API budget in minutes with no safeguard in place.

Problem 3

No Safety Rails

Agents call tools without guardrails. One bad tool call can delete data, send wrong emails, or break systems.

Problem 4

Zero Audit Trail

No record of what agents decided, which tools they called, or why — making compliance impossible.

28 Integrated Modules

Everything to Ship AI Agents

From agent creation to production monitoring, every tool in one unified platform.

Agent Registry & Runtime

Central registry for all AI agents with full lifecycle tracking.

  • Version control
  • Health monitoring
  • Multi-model support

Lifecycle Management

Draft → testing → approved → running → suspended → archived.

  • State machine
  • Rollback support
  • A/B testing

Multi-Agent Coordination

Message bus, trust rules, and dependency graphs for agent teams.

  • Agent-to-agent messaging
  • Trust policies
  • Dependency DAGs

Providers (Multi-LLM)

Connect any LLM provider — OpenAI, Anthropic, Google, local models.

  • API key management
  • Model routing
  • Cost tracking per provider
Ecosystem

A Complete Agent Ecosystem

Marketplaces, MCP servers, tool gateway, and payments — the operational layer no other platform offers.

ACP PLATFORM
MARKETPLACE

Agent Marketplace

Browse and install pre-built agents — Meeting Summarizer, Code Reviewer, Research Assistant, and more. Publish your own agents for the community.

12+ pre-built agents
One-click install
Publish & share
MCP

MCP Server Registry

Connect to 30+ Model Context Protocol servers. GitHub, Slack, databases, file systems — install with one click, auto-configure, and attach to any agent.

30+ MCP servers
Auto-configure
Any transport
TOOLS

Tool Gateway

A unified gateway for all agent tools. Browse, install, version, and monitor tool usage. Rate limiting and access control per tool.

116+ tools
Usage analytics
Access control
PAYMENTS

Built-in Monetization

Accept payments with Razorpay (global) and LemonSqueezy. Credit-based billing, subscription plans, usage metering — everything to monetize your AI agents.

Razorpay + Stripe
Credit system
Subscription plans
No other platform combines all four.Explore the ecosystem

How It Works

From Idea to Production in 4 Steps

01

Register Agent

Create an agent from templates or scratch. Choose model, tools, and memory.

02

Configure Policies

Set budgets, safety guardrails, RBAC roles, and scheduling rules.

03

Deploy & Run

One-click deploy. Agents auto-scale, tools execute in sandboxes.

04

Monitor & Optimize

Real-time dashboards, cost optimization, decision audit trails.

Architecture

Five-Layer Production Stack

Hover to explore. Each layer is independently scalable.

Client Layer

L1

Next.js 14 · TypeScript · Tailwind

Gateway Layer

L2

Go 1.22 · Chi Router · Rate Limiter

API Layer

L3

FastAPI · Python 3.11 · asyncpg

Worker Layer

L4

Celery · Redis · Kafka

Data Layer

L5

TimescaleDB · pgvector · Redis

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Layers
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API Routers
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Workers
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Workflow Nodes

Interactive Demos

See How Agents Actually Work

Explore live workflow visualizations of ACP's core modules — from agent orchestration to budget governance and RAG pipelines.

End-to-end customer support agent — from query intake through multi-model reasoning to automated CRM updates and response delivery.

ai-control-plane.in/workflow/agent-pipeline
Live

Observability

See Every Step Your Agent Takes

Full run tracing with token counts, latency, tool calls, and costs. No black boxes.

COMPLETEDRun #run_8f2a \u00b7 support-bot \u00b7 2.1s
Run Started0ms
Agent: support-bot v3
Tool: KB Search120ms
Query: 'refund policy'
LLM Reasoning1.2s
GPT-4o · 847 tokens
Tool: Update Ticket340ms
Ticket #4521 → Resolved
Run Complete2.1s
Total: 2,140 tokens · $0.018
All policy checks passed \u00b7 Budget remaining: $48.72 / $50.00
Comparison

How ACP Compares

Feature
ACP
CrewAIDifyLangSmithn8n
Visual Agent Builder
No-Code Workflow Builder
MCP Server Registry
Budget & Cost Control
Agent Lifecycle Management
Multi-Model Support (8+)
RAG / Knowledge Base
RBAC & Multi-Tenancy
Deep LLM Tracing
400+ Integrations
Governance Policies
Agent Marketplace
Open Source
ACP
11/13
CrewAI
2/13
Dify
5/13
LangSmith
2/13
n8n
3/13

Production-Ready from Day One

Enterprise features built in, not bolted on. Every layer designed for reliability, security, and scale.

Governance

  • Per-agent safety policies with tool restrictions
  • Human-in-the-loop approval gates
  • Max token and cost limits per run
  • Content filtering and output validation

Observability

  • Real-time run streaming with step tracing
  • Token usage, latency, and cost analytics
  • Time-series dashboards with 24h/7d/30d ranges
  • Agent performance leaderboards

Security & Audit

  • Complete decision audit ledger
  • API key authentication with scoped access
  • Event sourcing via Kafka
  • Per-run audit trail with tool call logs

Runtime

  • Async execution via Celery workers
  • Run queuing and cancellation
  • Multi-model support (GPT-4o, Claude, Gemini)
  • Cron scheduling with health monitoring

Built for Every Agent Type

From customer support to DevOps to research — ACP provides the infrastructure for any autonomous agent.

Customer Support Agent

Resolves tickets by searching knowledge bases, updating CRMs, and escalating complex issues — all with audit trails.

Knowledge BaseTicket SystemEmail

Financial Analyst Agent

Pulls market data, runs calculations, generates reports, and flags anomalies with strict budget controls.

Market APICalculatorReport Generator

DevOps Agent

Monitors infrastructure, auto-scales services, rolls back deployments, and pages on-call — with safety policies.

AWS SDKKubernetes APIPagerDuty

Research Agent

Searches academic papers, summarizes findings, maintains persistent memory across research sessions.

arXiv APISemantic ScholarNote Store

Security Built Into Every Layer

Defense in depth — from API authentication to network isolation to complete audit logging.

API Key Authentication

Scoped API keys with role-based access. All requests authenticated at the gateway layer.

Complete Audit Trail

Every agent decision, tool call, and state change logged with timestamps and context.

Policy Enforcement

Declarative safety policies block dangerous tool calls, enforce token limits, and require approvals.

Input Validation

All agent inputs and tool parameters validated against JSON schemas before execution.

Network Isolation

Docker-based network isolation. Gateway, API, workers, and databases on separate internal networks.

Event Sourcing

All state changes emitted as Kafka events. Replay, audit, and integrate with external SIEM systems.

Why AI Control Plane?

The AI industry is moving from single-prompt chatbots to autonomous agents that take actions, call tools, and make decisions. But production agents need more than a good prompt — they need operational infrastructure.

AI Control Plane is the missing layer between your agent code and production reality. It handles the hard parts — cost controls, safety guardrails, observability, audit logging, scheduling, and memory — so you can focus on building intelligent agents, not plumbing.

Think of it as Kubernetes for AI agents: you define what your agent should do, and ACP handles how it runs safely and reliably at scale.

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Lines of Backend Code
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API Endpoints
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Database Tables

Built With

Battle-tested open-source technologies, composed into a production-grade platform.

Backend

Python 3.11FastAPICeleryasyncpg

Gateway

Go 1.22Chi RouterRate Limiter

Frontend

Next.js 14TypeScriptTailwind CSS

Database

TimescaleDBPostgreSQL 16pgvectorpgcrypto

Infrastructure

Docker ComposeRedisKafkaZookeeper

AI Models

GPT-4oClaude 3.5Gemini ProLlama 3
Pricing

Simple, Credit-Based Pricing

Pay for what you use. Every action consumes credits from your monthly allowance.

Free

$0forever
500 credits/mo

2 agents

Perfect for testing and small projects. Get started instantly.

  • 500 credits / month
  • 2 agents
  • Community support
  • Basic observability
  • API access
Start Free

Starter

$29/month
5,000 credits/mo

10 agents

For growing teams building production AI workflows.

  • 5,000 credits / month
  • 10 agents
  • Email support
  • Custom tools
  • Workflow builder
  • Knowledge base
Get Started
MOST POPULAR

Pro

$99/month
25,000 credits/mo

Unlimited

For scaling teams with advanced orchestration needs.

  • 25,000 credits / month
  • Unlimited agents
  • Priority support
  • RAG pipeline
  • Advanced workflows
  • Budget controls
  • RBAC
Upgrade to Pro

Enterprise

Custom
100,000 credits/mo

Unlimited

Dedicated infrastructure with compliance and SLA.

  • 100,000+ credits / month
  • Unlimited everything
  • Dedicated support
  • SSO / SAML
  • Custom SLA
  • On-prem option
  • Audit logs
Contact Us

What are Credits?

Credits are your universal currency for AI operations. Every action on the platform consumes credits based on complexity.

1 credit
= ~1,000 LLM tokens (GPT-4o-mini)
or ~250 tokens (GPT-4o / Claude Sonnet)
5 credits
= 1 standard agent run
(prompt + response + tool calls)
10 credits
= 1 complex workflow execution
(multi-step with conditions + tools)
Example: With the Starter plan (5,000 credits/month), you can run approximately 1,000 standard agent tasks or 500 complex workflows per month. BYOK users (bring your own API keys) use credits for platform operations only — LLM costs are billed directly by your provider.
Ready to deploy?

Take Control of Your
AI Agent Fleet

Join teams shipping production AI agents with confidence. Start free — no credit card required.

No credit card500 free creditsDeploy in 2 min