Genosyn

Genosyn

Genosyn is an open-source, self-hosted company operating system that enables teams to run 'AI Employees' alongside human members with shared company context, explicit access grants, scheduled routines, and human approval workflows.

Genosyn is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

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Genosyn

Genosyn is an open-source, self-hosted company operating system that integrates human team members and AI Employees into a single governed workspace. It provides readable, editable role definitions (Souls), reusable playbooks (Skills), scheduled work (Routines), and explicit resource Grants so AI can operate with scoped access while sensitive actions are paused for human approval. Genosyn is designed for companies that want to keep operating data and keys on infrastructure they control and to run on a single Linux host with Docker or scale to Postgres when needed.

Open-source, self-hosted company operating system where Members and AI Employees share context, tools, work, and review queues.

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Key Features

AI Employees

First-class AI roles that operate alongside human members with constitutions (Souls), Skills, Routines, and explicit Grants.

Souls (Role Constitution)

Readable constitutions that define judgment, voice, priorities, and boundaries for each AI Employee.

Skills (Playbooks)

Reusable markdown playbooks for repeatable jobs (examples: reconcile-payments, prepare-weekly-brief, triage-inbox).

Routines (Scheduled Work)

Cron-scheduled routines with a clear brief, chosen AI model, and readable Run history (e.g., Morning brief · 08:30, Reconcile · 07:00).

Explicit Grants & Access Controls

Explicit access to Connections, Notes, Bases, repositories, and other company resources to scope what AI can reach.

Shared Workspace

AI Employees work in the same products, on the same records, with the same review queues as human Members — one company-wide identity and permissions model.

Tasks & Approval Flows

Task manager where todos can be assigned to humans or AI Employees with in-review flows and approvals for sensitive work.

Finance, Email, Revenue, and Code Repositories

Built-in modules for Finance (double-entry ledger, reconciliation), Email (two-way Gmail sync), Revenue/CRM, and connecting to git repos for code work.

Self-hosted & Open Source

MIT-licensed, self-hostable application with a CLI for upgrades, health checks, backups, logs, and recovery.

Pricing

Free Tier Available

Open-source MIT licensed self-hostable release (v1.101.2); project is provided without warranty.

Use Cases

Automated financial reconciliation

AI Employees run scheduled reconcile routines, classify payments, and assist with ledger reconciliation while pausing sensitive changes for human approval.

Marketing and content digests

Prepare launch digests and recurring briefs automatically via scheduled Routines and Skills tied to marketing workflows.

Code review and repository assistance

Grant AI Employees live checkout access to repositories (GitHub, GitLab, Bitbucket) to prepare patches, surface fixes, and support engineering work.

Email handling with human guardrails

Two-way Gmail mailbox integration with gated flows (read < draft < send) so AI can assist email workflows under controlled permissions.

Integrations

AI model endpoints

Bring Anthropic, OpenAI, or a custom OpenAI-compatible endpoint for model execution.

Git repositories

Point at any git URL — GitHub, GitLab, Bitbucket, or self-hosted — and grant AI Employees live checkout access.

Gmail

Two-way Gmail mailbox integration with controlled read/draft/send access levels for email workflows.

Benefits

Unified context and permissions: one operating context for humans and AI prevents copying state between systems.
Human-in-the-loop safety: sensitive actions are paused for Member approval and approvals are integrated into workflows.
Data ownership and control: self-hosted deployment, encrypted credentials, and ability to bring your own AI endpoints keep company data under your control.

Limitations

Self-hosting requirement: Genosyn installs as a self-hosted application and requires infrastructure (Docker on Linux, move to Postgres for larger deployments).
No warranty and partial AI-generated content: the project is open source and provided without warranty; the site notes that some parts are AI generated.
No public managed SaaS pricing or hosted plan information shown on the page.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Install Genosyn (example: curl -fsSL https://genosyn.com/install.sh | bash).
  2. 2 Step 2: Open the running instance (example: http://localhost:8471) and use the CLI for health and backups.
  3. 3 Step 3: Choose an AI model (Anthropic, OpenAI, or a compatible endpoint), define an AI Employee (Soul + Skills), and schedule the first Routine.

Support

docs

Documentation, install guide, and CLI reference available from the site (Read the install guide, Documentation links).

code repository

Source repository and issue tracking via the project's GitHub (links and 'Star on GitHub' from the site).

API

Available: No

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