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

Mac/Linux/Android(Termux):

curl https://raw.githubusercontent.com/ROCK-LAB-PRIVATE-LIMITED/federate.ai/main/install.sh | bash

Windows:

irm https://raw.githubusercontent.com/ROCK-LAB-PRIVATE-LIMITED/federate.ai/main/install.ps1 | iex

Via uv:

uv tool install federate

Via pipx:

pipx install federate

You can also install the package via pip. We recommend installing with all optional extras to enable local voice/audio and IDE capabilities:

pip install "federate[all]"

(For a lightweight installation without audio or computer usage capabilities, run pip install federate).

Quickstart

Start the application from your terminal:

federate

(You can also open the last available chat using federate -r)

Basic Setup

  1. On the first run of Federate, you will be presented with an onboarding popup that will help you setup your first agent.
  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)

To protect your workspace, the system boots in SAFE mode. You can use /tools command to check what tools are available and activated at any time for the current agent.

  • Press Ctrl+T to cycle permissions:
    • SAFE: Agents can only call basic tools (web search, deep research and list files). You can authorize more tools in safe mode on a per-agent basis but they will still present a confirmation popup.
    • 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 any and every tool available. No confirmation will be required.

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.
  • Slash Commands: Type / followed by the command. For /help the full list of available commands and their descriptions.
  • Key Bindings:
    • F2: Session Manager (Create a new chat or load historical multi-agent sessions)
    • F4: Open the Active Agent's configuration
    • F5: Change Agent and set the default 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, a lot more people have access to smartphones. Federate is written to bring the joy of programming to as many people as possible, by being as device agnostic as possible. It is designed to run natively and comfortably inside Termux on Android, transforming a spare smartphone into a fully capable engineering workstation.

Federate is also built for 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 by everyone, while being incredibly powerful.

Project links

Data verified by PyPI on Jul 20, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.0.38)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for geoarkadeep from gravatar.com geoarkadeep

Credits

Author: ROCK-LAB-PRIVATE-LIMITED

GitHub Statistics

Data verified by PyPI on Jul 20, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

Apache Software License (Apache Software License)

Requires

Python >=3.11

Provides Extra

audio vision pdf telegram ide all

Tags

ai agent tui coding llm

Classifiers

Report project as malware

Download files

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

Source Distribution

federate-1.0.3.tar.gz (290.7 kB view details)

Uploaded Source

Built Distributions

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

federate-1.0.3-py3-none-win_amd64.whl (11.1 MB view details)

Uploaded Python 3Windows x86-64

federate-1.0.3-py3-none-manylinux2014_x86_64.whl (10.9 MB view details)

Uploaded Python 3

federate-1.0.3-py3-none-manylinux2014_aarch64.whl (10.0 MB view details)

Uploaded Python 3

federate-1.0.3-py3-none-macosx_11_0_arm64.whl (10.3 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

federate-1.0.3-py3-none-macosx_10_9_x86_64.whl (11.0 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

federate-1.0.3-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-1.0.3.tar.gz.

File metadata

  • Download URL: federate-1.0.3.tar.gz
  • Upload date:
  • Size: 290.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for federate-1.0.3.tar.gz
Algorithm Hash digest
SHA256 f1455b6b275c032212521acfd26897ebc298b5e8ae27c0a9ef35100749d53acb
MD5 83e421e104c562d7533f5dba379bdd73
BLAKE2b-256 cb377c396d9e218594d84b6c9376dff0e1e1cefe7149068f6e1ffba92f017fa3

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-1.0.3.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-1.0.3-py3-none-win_amd64.whl.

File metadata

  • Download URL: federate-1.0.3-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/3.13.14

File hashes

Hashes for federate-1.0.3-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 a4d2ef063e52a9dbfda7f980e76d90860af70d530288ead61e7a195f4941dce6
MD5 f18394dbeab5e0bcae8e6fade0ff4350
BLAKE2b-256 4cca022c578a0ff28797b1f035461d09a9c41c8a7bac8f44b8d1c974b2e046fb

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-1.0.3-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-1.0.3-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for federate-1.0.3-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2d3e4530360efbade6f74281728c9f044cd1d4029d8cf5d957df00f6dbfdcc02
MD5 83cb3f7c3d2291e0296936c061f29e33
BLAKE2b-256 ed1e2c3ab2793039069e26978ceccdebc5d81c4eb4b54640023ed328796d2807

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-1.0.3-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-1.0.3-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for federate-1.0.3-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 37b00908319f6bef13a36a76dec11413996cdd6405172ff51f44cdd32e18724b
MD5 9ffcee9325955ea6cb2a8ccb0d225caf
BLAKE2b-256 b141b6a4a40efb3224c470561b4ca005d114073c9cee65f19522d5df1d9915f2

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-1.0.3-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-1.0.3-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for federate-1.0.3-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fb4ee5bd33d16bea7584e553890404e2735042408ba95f2f929e233557fa927a
MD5 4423ab5175900fe32cdc8353aa32f6e4
BLAKE2b-256 1ccdaf55304557365babd57fe95c2860987687feb023602c2c684a8ce379697c

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-1.0.3-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-1.0.3-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for federate-1.0.3-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2a5664daffb0ab6e4e430a771d010c267462bdb9fc6b55d993adadf57134d879
MD5 20c3c47fe01b0f9aeb1e6164e68843ba
BLAKE2b-256 1472f744e269c5d6d18e19a59a0c7f0d0a8e5611bf9e506cfd31da4bff446d39

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-1.0.3-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-1.0.3-py3-none-android_24_arm64_v8a.whl.

File metadata

File hashes

Hashes for federate-1.0.3-py3-none-android_24_arm64_v8a.whl
Algorithm Hash digest
SHA256 4694874885e49afd3bee4c2cabc50f9fe09643ff7564964ad0d91ad8b7e4ba77
MD5 38033a16c6b8c760dd65c04dde06bc3d
BLAKE2b-256 904bf63435ff6578d5c80840375f14322006a8421c2f13296ece0547a5eb0148

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-1.0.3-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

This release

1.0.3 This release

7 files

1.0.0

7 files

0.9.43

7 files

0.9.42

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