The engine behind your agents.

SPEAKMAN.AI is a workflow engine built for the agentic era. Plug it into Claude Code, Copilot Studio, the Claude app or any other MCP-compatible agent and run enterprise-grade multi-agent workflows on your own machine. Your assistant can do every AI step itself, so you don't need a model API key until you want background runs.

Not another app to manage.

Free on GitHub → Enterprise

Run locally with the Windows exe. No Python, no Docker, no account required.

● ONLINE

A workflow engine your agents can call directly.

SPEAKMAN.AI is not a UI you live in. It's an MCP-native workflow engine your agents connect to, execute against, and consume results from without leaving the tools driving your business.

Not a chatbot.

Not another platform to manage.

A structured workflow engine your pipelines consume directly.

THE PROBLEM

AI tools that demand you live in their UI

Most AI platforms are built around their interface, not yours. Every time your workflow needs intelligence, you switch context, prompt manually, copy output, and paste it somewhere else.

Context switching between tools

Manual copy-paste from AI outputs

No audit trail on AI-generated decisions

Custom integrations that break with every update

The cost is not a single invoice. It's the compounding overhead of every team living in the wrong tool.

THE POSITION

Works where you already work.

SPEAKMAN.AI exposes multi-agent workflows over MCP. Your agents call it. Your pipelines consume it. Your team gets structured, auditable intelligence delivered directly into the tools they use.

Claude Code calls a workflow. Gets a complete output.

Copilot Studio runs a Solution Architecture workflow. The document comes back to your agent.

Your pipeline triggers a workflow. Structured data comes back.

The result? Multi-agent intelligence embedded in your existing tools. Zero new UI to manage.

Your agents call it. Not the other way around.

FREE & OPEN SOURCE — LOCAL VERSION

Run it locally. Own it completely.

Individual users get everything from the free local engine. No account and no cloud dependency. A fresh install needs no model API key either: your connected assistant handles the AI steps, and you can add your own key whenever you want the engine to run them in the background.

Windows Exe

Download and run. System tray icon, browser setup page. The 17 skills ship inside the exe, and one click installs them into Claude Code. No Python or Docker installation required.

Docker + SQLite

Single command. Persistent data. Workflows seeded automatically on first launch.

Docker + MongoDB

Same features as SQLite mode just swap the database if you prefer MongoDB or already run it in your stack.

Run From Source

For contributors. Start the server with uvicorn in a Python environment, no Docker needed.

Provider	Notes
Gemini	Recommended - gemini-3.5-flash-lite / gemini-3.8-flash / gemini-3.1-pro-preview
Vertex AI	The same Gemini 3.x models, through your Google Cloud project
Claude	claude-sonnet-5-5 / claude-opus-5-5
OpenAI	gpt-6-luna / gpt-6.1-sol / gpt-6-astra
Ollama	Local inference - 14B+ model recommended

Download on GitHub →

AVAILABLE WORKFLOWS

Start with what's built. Extend from there.

Sizing Estimate

A quick gate before any architecture work. Breaks a raw idea into components and gives each a relative S/M/L/XL size, never a dollar figure, with a human review step. ~5–10 minutes.

Solution Architecture

Full multi-agent pipeline. Six specialist agents (business context clarifier, business analyst, application architect, technical architect, compliance officer and visualization specialist) build a complete SAD, with validators and human review gates between stages. ~10–20 minutes.

Capability Generator

Converts a plain-text description of your tech stack and processes into a structured capabilities JSON array. ~2–5 minutes.

Requirements Engineering

Turns an architecture, or a business description alone, into implementation-ready contracts: domain model, use cases, naming dictionary and a full OpenAPI schema. ~10–15 minutes.

UX Design

Maps requirements to a screen inventory, proposes a design direction and builds clickable HTML mockups for review before any code is written. ~5–10 minutes.

Your workflow

Transform your existing business processes into AI-ready pipelines. Describe your steps and the Workflow Builder generates a ready-to-import SPEAKMAN.AI workflow with agents, HITL pause points, and all. We can help design and build those too.

HOW IT WORKS

One MCP connection. Full workflow access.

Add the SPEAKMAN.AI MCP server to Claude Code, Copilot Studio, the Claude app or your own pipeline.
Call list_workflows to see available workflows.
Call start_session — the workflow runs asynchronously.
Poll with poll_workflow and respond to input requests as they arrive.
Call get_outputs and get_output to consume the structured results.

Your agent does the work. You review the output.

Claude Code — terminal

claude mcp add --transport http --scope user speakmanai http://localhost:8000/mcp

# Or press the Claude Code button on the setup page.
# It runs this for you and installs the skills too.

CONTROL AND TRUST

Structured. Auditable. Owned by your team.

Every workflow execution is logged, scoped to a tenant, and linked to a user. Nothing disappears into a chat history.

Reviewable

Editable

Owned by your team

The engine handles execution. People handle judgment.

COMPARISON

Why teams connect SPEAKMAN.AI instead of building their own

Build it yourself

Months of infra work. Multi-tenancy, auth, billing, and orchestration before a single workflow ships.

Generic AI platforms

Live in their UI. Copy output manually. No auditability. No integration with the tools you already use.

SPEAKMAN.AI

MCP connection. Instant workflow access. Free local version, or enterprise-grade from day one and hosted for teams.

ENTERPRISE CLOUD

Enterprise-grade, out of the box

Multi-tenant

Every workflow is scoped to a tenant. Isolation and access control built in.

Credentialed

API key auth, per-agent provisioning, and concurrency limits on every request.

Metered

Credit-based billing per workflow step. Every execution is tracked and auditable.

Agentic HITL

Workflows pause for human input and resume from the UI or from your agent.

What typically takes months to build is available on day one.

ENTERPRISE

For teams that need more than local.

Individual users get everything from the free local engine. Enterprise is for multi-client teams that need shared infrastructure, per-seat access control, metered usage, audit trails, and someone else running the stack.

What's included

MCP API access - Claude Code, Copilot Studio, any MCP-compatible agent
Negotiated licence fees per seat
No hard credit caps - fair use policy
All workflow types including human-in-the-loop steps
Custom workflow design for your domain
Agentic workflow consulting: design and build pipelines using your tools and integrations
Personal and shared item library
Document downloads - Markdown and Word format
Advanced AI models
Virtual or private tenant isolation
Priority support

When enterprise makes sense

Multiple users sharing workflows and outputs across a team.

Audit and accountability requirements with every execution logged, scoped, and reviewable.

Custom workflow design tailored to your domain and business processes.

The platform gets you started. Consulting is where we build what's yours.