Open Protocol Support: MCP + A2A + UCP

Build Intelligent
AI Agents

A multi-provider agent platform with native protocol support. Create conversational and task-driven agents backed by 13+ LLM providers, with tools, code execution, and autonomous scheduling built in.

Backed by the models you already use

OpenAIAnthropicGoogleAWS BedrockAzureDeepSeekGroqMistralFireworksxAICohereTogetherOpenRouter

Everything you need to build AI agents

From model routing to autonomous task scheduling, AiFlow gives your agents the capabilities they need to be truly useful.

Multi-Provider AI

Route to 13+ LLM providers with automatic failover. Configure priority chains so your agents stay online even when a provider goes down.

OpenAI
Anthropic
Gemini
Bedrock

Protocol Native

First-class support for MCP, A2A, and UCP. Your agents are discoverable and interoperable with the broader AI ecosystem out of the box.

MCP
A2A
UCP

Code Execution

Sandboxed runtime for TypeScript, Python, and shell. Agents can write and run code, install packages, and use stdio MCP servers.

TypeScript
Python
Shell

Rich Tool System

Connect MCP servers, HTTP APIs, custom code tools, and provider-native tools like Google Search grounding and OpenAI code interpreter.

MCP
HTTP
Code
Provider

Task Engine

Agents can create immediate, scheduled, and cron tasks. Tasks run autonomously with step tracking, webhooks, and cross-agent delegation.

Scheduled
Cron
Webhooks

Agency & Self-Shaping

Agents maintain a soul canvas for persistent memory, set their own behavioral directives, and build per-user knowledge profiles over time.

Soul Canvas
Directives
Profiling

Skills System

Agents can create, edit, and invoke reusable code skills. Build a library of capabilities that persists across sessions and grows over time.

Create
Invoke
Persist

File Management

Scoped R2 storage with session, agent, and account levels. Agents can read, write, and share files with HMAC-signed share links.

R2 Storage
Scoped
Share Links

Channel Integrations

Connect agents to Slack workspaces and more. Messages flow through the same engine with full tool and task support.

Slack
More Coming

Security & Privacy

Built-in PII detection, encrypted secret storage with agent grants, scoped file permissions, and granular access policies for every tool.

PII Detection
Secrets
Policies

Up and running in minutes

Three steps from zero to a fully-capable AI agent.

1

Create an Agent

Define your agent with a name, system instructions, and response format. Choose how it thinks and behaves.

2

Configure Tools & Providers

Add LLM provider credentials, connect MCP servers, HTTP APIs, enable code execution, browser automation, and more.

3

Deploy & Chat

Your agent is live instantly. Chat via the dashboard, connect via Slack, or integrate through the REST API and protocols.

Ready to build?

Sign in with your Google account to create your first agent. No credit card required.

AiFlow

Multi-provider AI agent platform with native protocol support.

Protocols

  • MCP (Model Context Protocol)
  • A2A (Agent-to-Agent)
  • UCP (Universal Context Protocol)

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