Skip to main content

Federate

Federate is a cross-platform, terminal-based peer to peer AI orchestration harness and universal automation system.

It turns your terminal into an interactive workbench where you can run specialized teams of AI agents who talk to and collaborate with each other, use voice input and output, execute desktop automation commands, and much more.


Federate Logo

What Makes Federate Different?

1. Orchestration Freedom

You organize your team of agents simply by writing their backstories. Describe how they relate to one another, and Federate builds the communication network dynamically. You can create:

  • A true Peer-to-Peer hierarchy where every agent is equal to every other agent. This is the default and exclusive to Federate. No other agentic system does this as of date (2nd July 2026). We are the first to implement it (though many will likely follow suit).
  • A strict corporate hierarchy or military style chain-of-command.
  • A collaborative Hub-and-Spoke swarm.
  • Anything else you can think of.

Federate supports a true multi-model ecosystem. Because it abstracts the underlying LLM provider, you can bring different models into the same session. You can easily watch ChatGPT and Gemini debate a technical architecture decision, a code optimization, or a creative writing prompt directly inside your terminal window.

2. Active Skills

While we support markdown based skills, Federate debuts the 'active skill' system where actual programs are stored and executed by agents on demand. This allows automation of almost anything you can think of. There is Visual Computer Usage ability for automating tasks requiring GUI interaction.

3. Native Desktop Vision & Speech

On desktop machines, agents can physically interact with your computer, listen for input and also talk back to you, using any model (not just those with speech understanding or synthesis baked in). Speech to text with hotword detection results in true hands free operation. Text to speech with different voice for each agent results in immerrssive role-play.

4. First Class support for Termux

Even on mobile, you can delegate complex multi-step coding tasks to an autonomous sub-agent. The system spawns an isolated local git worktree, writes and edits code, runs your local tests, and presents you with a clean commit diff to approve—ensuring your active development workspace remains untouched. Did you know your old Android can compile Rust?


Feature Checklist

  • File and Folder attachments (&): Type & followed by a file or directory (e.g., &src/app.py or &src/) to attach that file or folder directly into your prompt.
  • Direct Shell Passthrough (!): Type ! followed by a command (e.g., !git diff) to run it in your local workspace and feed the output to the AI.
  • Integrated Text IDE: Press F6 to instantly toggle between the chat view, a local file tree, a code editor with symbol outline, and an execution dashboard.
  • And a lot more: Offline Persistent memory with semantic search, goal management, skills (passive and active skills, the latter again a Federate exclusive as on date), speech to text, text to speech, deep research with illustrated pdf generation, computer use, telegram integration, task scheduling etc already baked in, more features might be added in the future.

Installation

Install the package via pip. We recommend installing with all optional extras to enable local voice/audio and serving capabilities:

pip install "federate[all]"

(For a lightweight installation without audio or computer usage capabilities, run pip install federate instead on Termux and Raspberry Pi).


Quickstart

Start the application from your terminal:

federate

(You can also open a specific project directory directly: federate path/to/folder)

Basic Setup

  1. Once the interface loads, press F4 to open the Agent Editor.
  2. Set up your active agent, including your API keys and model choices (Federate is pre-configured for OpenRouter, but works with any OpenAI-compatible API).
  3. Federate will securely encrypt and save your credentials inside your native OS keychain.

Changing Safety Modes (Ctrl+T / /arm)

To protect your workspace, the system boots in SAFE (PLAN) mode. In this mode, agents can search the web and read files, but they cannot edit code, run terminal commands, or control your computer.

  • Press Ctrl+T or type /arm to cycle permissions:
    • SAFE (PLAN): Read-only. Great for planning and research.
    • SEMI-AUTO: Agents can edit and execute, but Federate will present a popup asking you to approve every single tool execution.
    • FULL-AUTO: Agents can run autonomous toolchains in the background.

Command Reference

  • Attach Files and Folders: Type & followed by the file path (e.g., &src/main.py). Use UP/DOWN arrow keys to cycle through autocomplete suggestions.
  • Mention Agents: Type @ followed by the agent name to route your message to a specific agent. Use @team to broadcast to everyone, or @room to talk to agents active in the current session. Agents can also use @ to invoke other agents, which is the core of the peer to peer system.
  • Key Bindings:
    • F2: Session Manager (Create a new chat or load historical multi-agent sessions)
    • F4: Open the Active Agent configuration
    • F5: Cycle the host agent
    • F6: Cycle through UI panels (Chat ↔ IDE Editor ↔ Executions Dashboard)
    • F8: Change your workspace directory
    • Ctrl+K: Start fresh conversation
    • Ctrl+A: ABORT (Emergency stop for any running AI tasks or terminal commands)
    • Ctrl+Q: Quit Federate

Disclaimer

  • All AI systems inherently navigate a trade-off between capability and safety; Federate leans heavily toward the capability aspect. For safe and secure coding with AI assistance, please consider using KittySuite IDE, where the AI does not have the capability to execute code, run commands, or read files you don't explicitly share.

Why We Built Federate

In many regions of the developing world, owning a desktop computer is often a luxury, yet nearly everyone has access to a smartphone. Federate is written to bring the joy of programming to those pocket-sized screens. It is designed to run natively and comfortably inside Termux on Android, transforming a spare smartphone into a fully capable engineering workstation.

But Federate is also built for the most advanced power-users on high-end hardware. It runs on any Mac or PC you can throw at it, unlocking system-level features like desktop automation, local speech-to-text with hotword detection, and text-to-speech voice generation.

It is designed to be accessible to everyone, yet incredibly powerful for those with top-tier setups.


Download files

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

Source Distribution

federate-0.9.42.tar.gz (285.6 kB view details)

Uploaded Source

Built Distributions

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

federate-0.9.42-py3-none-win_amd64.whl (11.1 MB view details)

Uploaded Python 3Windows x86-64

federate-0.9.42-py3-none-manylinux2014_x86_64.whl (10.9 MB view details)

Uploaded Python 3

federate-0.9.42-py3-none-manylinux2014_aarch64.whl (10.0 MB view details)

Uploaded Python 3

federate-0.9.42-py3-none-macosx_11_0_arm64.whl (10.3 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

federate-0.9.42-py3-none-macosx_10_9_x86_64.whl (11.0 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

federate-0.9.42-py3-none-android_24_arm64_v8a.whl (10.4 MB view details)

Uploaded Android API level 24+ ARM64 v8aPython 3

File details

Details for the file federate-0.9.42.tar.gz.

File metadata

  • Download URL: federate-0.9.42.tar.gz
  • Upload date:
  • Size: 285.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for federate-0.9.42.tar.gz
Algorithm Hash digest
SHA256 b0c9569c8bae5eff72bb19f71049879cab7e17bfa1305d78437f0892a0d8e905
MD5 19dddeba73680c6814fab566085cb717
BLAKE2b-256 5ca2eeb356702e7bc2bfc4784f1fe9a191f9e893cacf6f3f58861906a0ec957e

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.42.tar.gz:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.42-py3-none-win_amd64.whl.

File metadata

  • Download URL: federate-0.9.42-py3-none-win_amd64.whl
  • Upload date:
  • Size: 11.1 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for federate-0.9.42-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 cf452ba5e25b2d670767b0c76de4514f875cef32ec0a25e55e09400dbdba17c1
MD5 31b4a8a90e4cae7fdc9d06904b3bf524
BLAKE2b-256 b3e4f5e707ec33c8da2e0a1a216d398d6243564288036be65fcbb8a0f330ff57

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.42-py3-none-win_amd64.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.42-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for federate-0.9.42-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 095035663bd465ec05085289fbf2d1dcc56efa75198a591c050e713adf15fb67
MD5 9500ad3ebf8ff248ceb4d3ed251b0c37
BLAKE2b-256 66423297611135020e1363d918ee0c053d18ebc3815dd0c6fcf3ec5ff81dba3b

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.42-py3-none-manylinux2014_x86_64.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.42-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for federate-0.9.42-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3644c9b673e0a294ef2e0dc8e264b89c44ed679d5be8854c0888f647b5cf38fc
MD5 5ff8b9ccd8f59fc25e52971e7e2d40b9
BLAKE2b-256 192001ea2e2d8dcf52883ed5cf3ced0e678a9c964da1d806b9d68ee9796eb9af

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.42-py3-none-manylinux2014_aarch64.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.42-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for federate-0.9.42-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1660cce2590b53c88b60b91a6f49c5379e022cf0e8c2bf61a0810d7b04264d5c
MD5 ce360eee844e3c6d4943c23c6d10a0d6
BLAKE2b-256 061891f85f20b883a3497a22365287f51456081a7ff1e3aa00e5fbef850fdfdb

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.42-py3-none-macosx_11_0_arm64.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.42-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for federate-0.9.42-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 aba2a19c58038c72375cb82b63f71cee5737ec9e0371471f9d561f03bf9852d8
MD5 d861b88ca6ad59b8ac105b2ea7b3a927
BLAKE2b-256 93f3124cf79b104e4d3347ecf7e8cf8dca20b99d2cf718b15899e6feec1c7a11

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.42-py3-none-macosx_10_9_x86_64.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.42-py3-none-android_24_arm64_v8a.whl.

File metadata

File hashes

Hashes for federate-0.9.42-py3-none-android_24_arm64_v8a.whl
Algorithm Hash digest
SHA256 808ccab29146400f19a64bd84caa4efa88be7345d9eaf599d81e9ed1285e2c1d
MD5 3694d46a4cd0fbd60d007183702c87e3
BLAKE2b-256 5fd7273e27776b11589c371c5af8c41fbd501db4a21746889ed62dbaf6ff1455

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.42-py3-none-android_24_arm64_v8a.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

1.0.38

7 files

1.0.37

7 files

1.0.36

7 files

1.0.35

7 files

1.0.34

7 files

1.0.33

7 files

1.0.32

7 files

1.0.31

7 files

1.0.30

7 files

1.0.29

7 files

1.0.28

7 files

1.0.27

7 files

1.0.26

7 files

1.0.25

7 files

1.0.24

7 files

1.0.23

7 files

1.0.22

7 files

1.0.21

7 files

1.0.20

7 files

1.0.19

7 files

1.0.18

7 files

1.0.17

7 files

1.0.16

7 files

1.0.15

7 files

1.0.14

7 files

1.0.13

7 files

1.0.12

7 files

1.0.11

7 files

1.0.10

7 files

1.0.9

7 files

1.0.8

7 files

1.0.7

7 files

1.0.6

7 files

1.0.5

7 files

1.0.3

7 files

1.0.0

7 files

0.9.43

7 files

This release

0.9.42 This release

7 files

0.9.41

7 files

0.9.40

7 files

0.9.39

7 files

0.9.38

7 files

0.9.37

7 files

0.9.36

7 files

0.9.35

7 files

0.9.34

7 files

0.9.33

7 files

0.9.32

7 files

0.9.31

7 files

0.9.30

7 files

0.9.29

7 files

0.9.28

7 files

0.9.27

7 files

0.9.26

7 files

0.9.25

7 files

0.9.24

7 files

0.9.23

7 files

0.9.21

7 files

0.9.20

7 files

0.9.19

7 files

0.9.18

7 files

0.9.17

7 files

0.9.16

7 files

0.9.14

7 files

0.9.11

7 files

0.9.10

7 files

0.9.9

7 files

0.9.7

7 files

0.9.6

7 files

0.9.5

7 files

0.9.4

7 files

0.9.3

7 files

0.9.2

7 files

0.9.1

7 files

0.9.0

7 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page