Skip to main content

Security and governance layer for AI agent tool access

Project description

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

Factorly

PyPI License: GPL-3.0 MCP GitHub Docs

Stop giving your AI agents your API keys. One command. All your tools. Credentials stay out of your agent's hands.

Factorly is a local runtime for agent tool chains. It proxies agent tool calls, injects credentials from an encrypted vault, enforces governance rules, and logs everything.

REST APIs, CLI commands, and MCP servers run through one config, one audit log, one set of rules.

Your agent sees workflows, tool names, and data. Never secrets.

Install

pip install factorly

Quick Start

Then, define your tools, secure your credentials, and sync with your agent:

# 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

The agent never sees your credentials. Factorly injected it, made the API call, logged it, and returned the data.

Already Using an MCP Server?

Wrap it with Factorly — no config file needed, no changes to the server:

factorly wrap -- npx @modelcontextprotocol/server-github

Same tools, same interface. Now every call is logged, output is compressed, loops are detected, and calls are rate-limited.

What You Get

  • Encrypted vault — AES-256-GCM with per-entry encryption, secrets never leave your device
  • Governance — deny destructive operations, require confirmation for writes, rate-limit calls, detect agent loops
  • Audit log — every call logged with params, response, and governance outcome
  • 36 templates — pre-built configs for GitHub, Slack, Stripe, Gmail, Linear, and more
  • Zero-config proxyfactorly wrap and factorly exec add safety instantly
  • Output compression — compresses JSON, deduplicates logs, truncates to head + tail to save tokens

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

factorly-0.9.0.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

factorly-0.9.0-py3-none-any.whl (5.0 kB view details)

Uploaded Python 3

File details

Details for the file factorly-0.9.0.tar.gz.

File metadata

  • Download URL: factorly-0.9.0.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for factorly-0.9.0.tar.gz
Algorithm Hash digest
SHA256 f2a4ac4ca2261a37ac66ffc709b940bcff80dcb61dda177d27ef21fcc2ad6c44
MD5 4c93a09385496c9b8ecd7f916c3549fe
BLAKE2b-256 178ce6c2a9a5a7bb3f59a0b88213e46e076e6a856ec8fbd60d68de807c4d0e5b

See more details on using hashes here.

File details

Details for the file factorly-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: factorly-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 5.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for factorly-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4086d19f5941537cfd752358ec5ed4b03f96301c9081bf1fb74c30132107d043
MD5 a19c55726b3052233044bf6506fe0d3c
BLAKE2b-256 ebea9f12510cfdb653e8fe926c0859a88dc591bf96f366d20320f6777dfb7c22

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page