Skip to main content

FEDERaiDE

FEDERaiDE 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 a specialized team of AI agents who talk to and collaborate with each other, use voice input and output, execute desktop automation commands, and much more.


FEDERaiDE Logo

What Makes FEDERaiDE Different?

1. Orchestration Freedom

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

FEDERaiDE 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, FEDERaiDE 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 FEDERaiDE 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/Android(Termux):

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

Windows:

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

Linux:

wget -O- https://raw.githubusercontent.com/ROCK-LAB-PRIVATE-LIMITED/federaide/main/nuxinstall.sh | sh

Via uv:

uv tool install federaide

Via pipx:

pipx install federaide

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 "federaide[all]"

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


Update

Mac/Linux/Android(Termux):

curl https://raw.githubusercontent.com/ROCK-LAB-PRIVATE-LIMITED/federaide/main/update.sh | bash

Windows:

irm https://raw.githubusercontent.com/ROCK-LAB-PRIVATE-LIMITED/federaide/main/update.ps1 | iex

Uninstall

Mac/Linux/Android(Termux):

curl https://raw.githubusercontent.com/ROCK-LAB-PRIVATE-LIMITED/federaide/main/uninstall.sh | bash

Windows:

irm https://raw.githubusercontent.com/ROCK-LAB-PRIVATE-LIMITED/federaide/main/uninstall.ps1 | iex

Quickstart

Start the application from your terminal:

federaide

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

Basic Setup

  1. On the first run of FEDERaiDE, 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 (FEDERaiDE is pre-configured for OpenRouter, but works with any OpenAI-compatible API).
  3. FEDERaiDE 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 FEDERaiDE 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 FEDERaiDE

Disclaimer

  • All AI systems inherently navigate a trade-off between capability and safety; FEDERaiDE 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 FEDERaiDE

In many regions of the developing world, owning a desktop computer is often a luxury, a lot more people have access to smartphones. FEDERaiDE 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.

FEDERaiDE 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.


Download files

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

Source Distribution

federaide-1.2.12.tar.gz (335.0 kB view details)

Uploaded Source

Built Distributions

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

federaide-1.2.12-py3-none-win_amd64.whl (11.2 MB view details)

Uploaded Python 3Windows x86-64

federaide-1.2.12-py3-none-manylinux2014_x86_64.whl (11.0 MB view details)

Uploaded Python 3

federaide-1.2.12-py3-none-manylinux2014_aarch64.whl (10.1 MB view details)

Uploaded Python 3

federaide-1.2.12-py3-none-macosx_11_0_arm64.whl (10.4 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

federaide-1.2.12-py3-none-macosx_10_9_x86_64.whl (11.1 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

federaide-1.2.12-py3-none-android_24_arm64_v8a.whl (10.5 MB view details)

Uploaded Android API level 24+ ARM64 v8aPython 3

File details

Details for the file federaide-1.2.12.tar.gz.

File metadata

  • Download URL: federaide-1.2.12.tar.gz
  • Upload date:
  • Size: 335.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for federaide-1.2.12.tar.gz
Algorithm Hash digest
SHA256 21392a7227990ce4380bdb57ab41f787d6f11ac19045c02ea6831a9d14db15b0
MD5 6bed2167f7ffb8fbb25f8006bc80a81f
BLAKE2b-256 c9e086720c542b3af4f1b788eed24b414ca6b58fcbfa3a3a70aade6e4f996114

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.12.tar.gz:

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

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

File details

Details for the file federaide-1.2.12-py3-none-win_amd64.whl.

File metadata

  • Download URL: federaide-1.2.12-py3-none-win_amd64.whl
  • Upload date:
  • Size: 11.2 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for federaide-1.2.12-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 8b7b82f44db18ea57180a3852e04f4343d2677bfa32a0c619dd8aba3b3587183
MD5 1052782de8eb946972ceb4c4c342502e
BLAKE2b-256 c3a4bae5504f626e6d2b0c7dfb411ab34b622d52bdbca285a03a6ad0f280891a

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.12-py3-none-win_amd64.whl:

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

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

File details

Details for the file federaide-1.2.12-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.2.12-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e22a3b61139dbd6e76ed7d656bf250726894583f43e63a9156fce8fa7a58d7af
MD5 d7eb983719374d545bba29f17eca1778
BLAKE2b-256 b0bdd26cef5232a274b64ed7af1f23e01840ebf26974499c3dcd439d7f035c6d

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.12-py3-none-manylinux2014_x86_64.whl:

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

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

File details

Details for the file federaide-1.2.12-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for federaide-1.2.12-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cf696a4ec15b262bba41574c11f60e90c6bc9bf1b66321f776b08eb0488b3810
MD5 41f33614e156f9c76f6977cecf6a9308
BLAKE2b-256 9083afdcf205b77f73df1413f4ee8b799eae91d1cb6f06cfd78b2bd20ac9da56

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.12-py3-none-manylinux2014_aarch64.whl:

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

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

File details

Details for the file federaide-1.2.12-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for federaide-1.2.12-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d28aefad058e56c8db724497d669fb425ffe696ba39d2ea3d614183d8d02c66f
MD5 e6a589c640f36226611cda25e4cc6b5e
BLAKE2b-256 130f2ff8db99df66fe3f97267d0f3e9d755eb5c681f3e613014b70a8e472c876

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.12-py3-none-macosx_11_0_arm64.whl:

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

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

File details

Details for the file federaide-1.2.12-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.2.12-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 412a9a16fdde97a6e19b73ae6f9de0011ea1c2f3bf7fb992cf43e9d873cba966
MD5 7e3eca8375883639607700e2c2651225
BLAKE2b-256 d01cf033ff63e7689fb12b57df2d26fc335c6e078a0d7f1b0af249badb9e40d7

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.12-py3-none-macosx_10_9_x86_64.whl:

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

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

File details

Details for the file federaide-1.2.12-py3-none-android_24_arm64_v8a.whl.

File metadata

File hashes

Hashes for federaide-1.2.12-py3-none-android_24_arm64_v8a.whl
Algorithm Hash digest
SHA256 0aaa34b74d010d8577a2c4a432c40fae37d39f28d3a16a8f96f32c95c6be4956
MD5 8cf283847fb3e7202bad6b0f71341e69
BLAKE2b-256 8ded812d6ad77c40f1d16b1fde94de4a674b0351a24d1ac5247346de659ff743

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.12-py3-none-android_24_arm64_v8a.whl:

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

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

Release history Release notifications | RSS feed

1.3.15

7 files

1.3.14

7 files

1.3.13

7 files

1.3.12

7 files

1.3.11

7 files

1.3.10

7 files

1.3.9

7 files

1.3.8

7 files

1.3.7

7 files

1.3.6

7 files

1.3.5

7 files

1.3.4

7 files

1.3.3

7 files

1.3.2

7 files

1.3.1

7 files

1.3.0

7 files

1.2.21

7 files

1.2.20

7 files

1.2.19

7 files

1.2.17

7 files

1.2.16

7 files

1.2.15

7 files

1.2.14

7 files

This release

1.2.12 This release

7 files

1.2.11

7 files

1.2.10

7 files

1.2.9

7 files

1.2.8

7 files

1.2.7

7 files

1.2.6

7 files

1.2.5

7 files

1.2.4

7 files

1.2.3

7 files

1.2.2

7 files

1.2.1

7 files

1.2.0

7 files

1.1.36

7 files

1.1.35

7 files

1.1.34

7 files

1.1.33

7 files

1.1.32

7 files

1.1.30

7 files

1.1.29

7 files

1.1.28

7 files

1.1.26

7 files

1.1.25

7 files

1.1.24

7 files

1.1.23

7 files

1.1.22

7 files

1.1.21

7 files

1.1.20

7 files

1.1.19

7 files

1.1.18

7 files

1.1.17

7 files

1.1.16

7 files

1.1.15

7 files

1.1.14

7 files

1.1.13

7 files

1.1.12

7 files

1.1.11

7 files

1.1.10

7 files

1.1.9

7 files

1.1.8

7 files

1.1.7

7 files

1.1.6

7 files

1.1.4

7 files

1.1.3

7 files

1.1.2

7 files

1.1.1

7 files

1.0.41

7 files

1.0.40

7 files

1.0.39

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