Development Preview · PR #2103 · fff2eaa · built

Python 3.14+ · BUSL 1.1 · Source Available

An autonomous product studio you operate.

Describe a product to build, or hand it an existing codebase: a synthetic organisation of role-based AI agents, with budgets, memory, and governance, is designed to plan and deliver it. The platform is built and tested; the agent runtime that runs the organisation is in active development, in the open.

Honest status: The platform, infrastructure, and subsystem libraries are built and tested. The autonomous agent runtime that makes the organisation execute work end to end is in active development and tracked in the open. Capability sections on this page are marked as available now or in active development. Roadmap ยท Issue tracker ยท Get in touch

Type-Safe Async-First Protocol-Driven Provider-Agnostic 85+ LLM Providers Enterprise Security

How It Is Designed To Work

Steps 1-2 (pick a template, configure via wizard or REST API) work today. Steps 3-4 illustrate the designed runtime behaviour, agents collaborating and the operations view, which is in active development.

setup wizard
Choose a template

  Solo Builder       2 agents   2 depts
  Tech Startup       5 agents   3 depts
  Engineering Squad  8 agents   3 depts
  Product Studio     10 agents  5 depts
▶ Agency             12 agents  5 depts
  Research Lab       7 agents   3 depts
  Enterprise Org     30+ agents 9 depts

Or define your own with YAML config.

Built-in templates from 2 to 30+ agents. Fully customisable roles, personalities, budgets, and tools.

REST API
POST /api/v1/setup/company
  template: "agency"
  company_name: "Acme AI Lab"

201 Created
  agents_created: 12
  departments:
    - Operations    (PM, Scrum Master)
    - Engineering   (3 developers)
    - Design        (UX, UI)
    - QA            (QA Engineer)
    - Creative      (Writer, Strategist)

Setup wizard or REST API. Auto-assigns LLM models, generates agent names, configures tool access.

activity log
[TASK]  #12 created: "Redesign checkout flow"
[ENGINE] PM decomposed #12 into 4 subtasks
[ENGINE] #12a -> UX Designer (role-based)
[ENGINE] #12b -> Backend Dev (load-balanced)
[ENGINE] #12c -> Frontend Dev (role-based)
[ENGINE] #12d -> QA Engineer (role-based)
[COMMS]  UX Designer -> PM: "Wireframes ready"
[DONE]  #12a approved by PM (quality: 94%)
[COMMS]  Meeting: sprint review (round-robin)

Designed runtime behaviour (in active development): DAG-based decomposition, routing strategies, meetings, delegation, and conflict resolution.

dashboard
Agents active:       12 across 5 departments
Tasks completed:     47
Total cost:          EUR 18.92
Coordination overhead: 14% (healthy)
Budget remaining:    EUR 81.08 / 100.00

Top Performers:
  Backend Dev    quality: 95%  tasks: 11  cost: EUR 3.20
  UX Designer    quality: 93%  tasks:  8  cost: EUR 2.15
  PM             quality: 91%  tasks:  9  cost: EUR 4.80

Designed operations view (in active development): per-token cost tracking, coordination overhead, performance scoring, budget enforcement.

What Makes SynthOrg Different

Not just agent orchestration. SynthOrg is designed as a complete organisational system: HR, governance, personality-driven teams, and cost controls, modelled as a real company rather than a chain of function calls.

โš™

Orchestration Engine

Routing strategies and execution loops, designed as one engine.

Designed for auction, role-based, and load-balanced task routing, DAG decomposition, conflict resolution, and crash recovery. Built and unit-tested as components; running it end to end is the runtime work in active development.

Sequential, parallel, Kanban, and Agile sprint workflows in the design.

๐Ÿ”’

Governance & Security

Every action classified, audited, and gated, by design.

A designed hybrid SecOps model: a fail-closed rule-engine fast-path plus an LLM evaluator for uncertain cases, four autonomy tiers (full, semi, supervised, locked), and budget enforcement. Implemented and unit-tested; enforced on a live run once the agent runtime is live.

Progressive trust: privileges never auto-granted, auto-downgrade on violations.

๐Ÿง 

Agent Identity

Agents designed with personalities, careers, and reviews.

Big Five personality dimensions for team compatibility, seniority levels from Intern to C-Suite, quality scoring, and hiring/promotion/offboarding with memory archival. Modelled and tested as components.

Not interchangeable workers; agents are designed with identity and growth.

๐Ÿ—ƒ

Memory & Knowledge

Multiple memory types. Knowledge designed to outlast any agent.

Working, episodic, semantic, procedural, and social memory with hybrid prompt and retrieval injection, designed to survive offboarding and transfer to successors. The pipeline runs once a live agent exercises it (in active development).

Organisational knowledge designed to persist across the agent lifecycle.

Architecture

The designed, modular, protocol-driven architecture. Every component is pluggable and built as tested code; the agent runtime that drives it end to end is in active development.

Explore full architecture →

Use Cases

The studio is designed for organisations like these. They describe the target shape of a SynthOrg company, not validated end-to-end runs; the agent runtime that executes them is in active development.

AI Dev Team

CTO + Engineers + QA. Autonomous software development with code review, testing, and deployment pipelines.

  • DAG-based task decomposition
  • Git tools + code sandbox
  • Three-tier quality scoring

Research Organization

Director + Analysts + Reviewers. Literature review, data analysis, and collaborative report generation.

  • Memory retrieval pipeline
  • Hybrid search (dense + BM25)
  • Automated consolidation

Content Pipeline

Editor + Writers + Fact-checkers. Content creation with editorial oversight, review cycles, and quality control.

  • Meeting-based coordination
  • Conflict resolution protocols
  • Approval gate workflows

Customer Support

Manager + Agents + Escalation. Tiered handling with knowledge sharing and automatic performance tracking.

  • Hierarchical delegation
  • Shared knowledge base
  • Performance scoring

Security Operations

SecOps lead + Analysts + Incident responders. Automated scanning, threat assessment, and coordinated response.

  • Progressive trust levels
  • Persistent audit trails
  • Sandboxed tool execution

Data Analytics

Lead Analyst + Data Engineers + Visualization specialists. End-to-end analysis pipelines with budget tracking.

  • Multi-project support
  • Automated reporting
  • Per-token cost tracking

See the Dashboard

The React 19 dashboard for agents, tasks, budgets, and communications, with live WebSocket updates. Shipped today; it becomes a live operations view as the agent runtime comes online.

Acme AI LabRunning
7 agents12 tasks

License & Usage

SynthOrg uses the Business Source License 1.1: source available, production-friendly for most users, converting to Apache 2.0 automatically.

Always Free

  • Personal learning and experimentation
  • Academic and research use
  • Development, testing, and evaluation
  • Contributing to SynthOrg itself

Free in Production

  • Organizations with <500 employees and contractors (including affiliates)
  • Non-competing use: internal tools, automation, or products where SynthOrg is not the core value
  • No separate license needed; see LICENSE for full terms

Commercial License

  • Organizations with 500+ employees
  • Offering SynthOrg as a hosted service
  • Reselling or embedding as core product
  • May be granted at no cost; just ask

Every version converts to Apache 2.0 automatically. We welcome feedback on the license: start a discussion or open an issue.

Read the full licensing rationale →

Operate a company that builds.

Get Started

Get in Touch

Questions about licensing, commercial use, or the framework? We'd love to hear from you.