factorly 0.17.1

Security and governance layer for AI agent tool access

░█▀▀░█▀█░█▀▀░▀█▀░█▀█░█▀▄░█░░█░█
░█▀▀░█▀█░█░░░░█░░█░█░█▀▄░█░░░█░
░▀░░░▀░▀░▀▀▀░░▀░░▀▀▀░▀░▀░▀▀▀░▀░

Factorly

Build what your agent can do.

Define tools, compose workflows, test and run them. MCP servers, REST APIs, and CLI commands in one config, one UI, one audit log.

Factorly is a local runtime for agent tool chains. It manages tool calls, injects credentials from an encrypted vault, enforces governance rules, and logs everything. Your agent sees workflows, tools, and data. Secrets stay secret.

Install

pip install factorly

Quick Start

# 1. Configure your tools or install a template (36 services: GitHub, Slack, Stripe, Linear, Gmail, ...)
factorly init

# 2. Store your credentials in the encrypted vault
factorly vault set GITHUB_TOKEN ghp_xxxxxxxxxxxx

# 3. Connect to your agent (auto-detects Claude Code, Cursor, Codex)
factorly sync

# 4. Optional, start the UI
factorly ui

Your agent connects to Factorly as a single MCP server or CLI and sees every tool you've configured. Credentials never leave the vault.

What It Does

Define — one config, every protocol, 36 templates included

Test — Try tools in the UI, see the response, iterate before giving your agent access

Compose — workflows with per-step policies, deterministic sequences

Govern — vault, policies, audit log. Built in, not bolted on.

Supported Platforms

OS	Architecture
Linux	x64
macOS	x64, arm64
Windows	x64

The pip package downloads the pre-built Go binary for your platform on first run.

Documentation

Full docs at github.com/factorly-dev/factorly

License

GPL-3.0