Skip to main content

Federate.AI

Federate.AI is a cross-platform, terminal-based peer to peer AI orchestration 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.


Why We Built Federate.AI

In many underprivileged regions of the developing world, owning a desktop computer is often a luxury, yet nearly everyone has access to a smartphone. Federate.AI 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 sub-$100 smartphone into a fully capable engineering workstation.

But Federate.AI 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 the ultimate equalizer: accessible to everyone, yet incredibly powerful for those with top-tier setups.


What Makes Federate.AI Different?

1. Orchestration Freedom

Most multi-agent frameworks force you to write rigid, complex Python graphs and state-machine code to define how agents interact. Federate.AI replaces this overhead with simple prompt driven system.

You organize your team of agents simply by writing their backstories. Describe how they relate to one another, and Federate.AI 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.AI. 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.

2. Multi-Model, Cross-Provider Collaboration

Federate.AI 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.

3. Native Desktop Vision & Speech (Computer Only)

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.

4. Pocket-Sized Software Engineering

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

  • Context Injection (&): Type & followed by a file or directory (e.g., &src/app.py or &src/) to instantly parse and inject that code 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.AI exclusive as on date), speech to text, text to speech, research orchestration, 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.AI is pre-configured for OpenRouter, but works with any OpenAI-compatible API).
  3. Federate.AI 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.AI will present a popup asking you to approve every single tool execution.
    • FULL-AUTO: Agents can run autonomous toolchains in the background.

Command Reference

  • Inject Files: 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.AI

Statutory Warning

  • Federate.AI contains full unrestricted code/command execution capabilities. This lets you hand full control of the device to the agent(s) running. This includes the ability to run potentially destructive code/commands. It is recommended to run it on a spare machine that contains no sensitive/valuable data and one that you do not mind wiping and resetting from time to time.
  • AI systems inherently navigate a trade-off between capability and safety; Federate.AI 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.

Download files

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

Source Distribution

federate-0.9.19.tar.gz (15.4 MB view details)

Uploaded Source

Built Distributions

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

federate-0.9.19-py3-none-win_amd64.whl (26.3 MB view details)

Uploaded Python 3Windows x86-64

federate-0.9.19-py3-none-manylinux2014_x86_64.whl (26.1 MB view details)

Uploaded Python 3

federate-0.9.19-py3-none-manylinux2014_aarch64.whl (25.2 MB view details)

Uploaded Python 3

federate-0.9.19-py3-none-macosx_11_0_arm64.whl (25.5 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

federate-0.9.19-py3-none-macosx_10_9_x86_64.whl (26.2 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

federate-0.9.19-py3-none-android_24_arm64_v8a.whl (25.6 MB view details)

Uploaded Android API level 24+ ARM64 v8aPython 3

File details

Details for the file federate-0.9.19.tar.gz.

File metadata

  • Download URL: federate-0.9.19.tar.gz
  • Upload date:
  • Size: 15.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for federate-0.9.19.tar.gz
Algorithm Hash digest
SHA256 e25dc1449ac9fdf68a70c398cc9c2087d99638e8a3523ddb45878099b3c5f600
MD5 a00375ff5b5704ebbd3039b591aee181
BLAKE2b-256 b105e604d985ea4da861d6b1ef25367568986bb79d391ae5da2ee3a2f85fb1ab

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.19.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-0.9.19-py3-none-win_amd64.whl.

File metadata

  • Download URL: federate-0.9.19-py3-none-win_amd64.whl
  • Upload date:
  • Size: 26.3 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-0.9.19-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 011073421ac04cc27d4acc57b1434b0140bd5c8218e4e733a4d3d25c16395d41
MD5 7d8612bd8286b1caee0ae09405014100
BLAKE2b-256 5a993348288e0c9fe6869e892b95f6f64af9e870a393ce5229b4efed06c1f07e

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.19-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-0.9.19-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for federate-0.9.19-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2bd240e48054bf7d4c8e6c3934ffcdaa6100fa6e08d2bcdffe8583f6437a1a98
MD5 51fc44fc5b6ffc1fd936c4ac7fb05f31
BLAKE2b-256 801d91f7e9b8516f027df58ecc727511314e7ad480186af59d0c6c0692996dc6

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.19-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-0.9.19-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for federate-0.9.19-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5e38a2f55cf679f6cbce2c531bb4932156f0ebce6ad11d5265ed1f90dfa7ff94
MD5 dcfefc7c596d096487deef0bfec85962
BLAKE2b-256 ee74dbe9c19adaf67014b9a8941d73c113f1fcdbd2a08e24838f40542574a691

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.19-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-0.9.19-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for federate-0.9.19-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dfa2b731efd10738f0f5eb4fec4fecfbe7b90e427914f7fe4259c4016aa201fb
MD5 de098e09f0dc75c6447efb8e7f77ada2
BLAKE2b-256 bed33968c2a3fd8f740050ccd4cc41bee39c1e0b645bc1ddabc4b0ef541ade1e

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.19-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-0.9.19-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for federate-0.9.19-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6d2cd35794a4dcab600dc59c1813c91843e5a42355257a665a8a25aaebc1c018
MD5 e53b70c0a09f59ac60e4956eb5633866
BLAKE2b-256 ae70569922fae087bc61475985c6b37bdc71a10a18781d293b65690a3f451421

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.19-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-0.9.19-py3-none-android_24_arm64_v8a.whl.

File metadata

File hashes

Hashes for federate-0.9.19-py3-none-android_24_arm64_v8a.whl
Algorithm Hash digest
SHA256 dab21d2383586f8b017230ec23de4c3faa0645fc0ba921601683b44e793ef821
MD5 4ecb38dfcd2caae443cb198d17daf21c
BLAKE2b-256 c217433f83e86739510c71a619c7af4f2064149b36ccd273a4819b50b738fa1b

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.19-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

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

This release

0.9.19 This release

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