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.

Roadmap & Upcoming Features:

  • Image generation (much requested feature)
  • Email integration (check inbox/read email/write email)
  • Integrated Secrets Management for Active Skills
  • Seperate package for nightlies

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-1.3.2.tar.gz (410.8 kB view details)

Uploaded Source

Built Distributions

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

federaide-1.3.2-py3-none-win_amd64.whl (11.3 MB view details)

Uploaded Python 3Windows x86-64

federaide-1.3.2-py3-none-manylinux2014_x86_64.whl (11.1 MB view details)

Uploaded Python 3

federaide-1.3.2-py3-none-manylinux2014_aarch64.whl (10.2 MB view details)

Uploaded Python 3

federaide-1.3.2-py3-none-macosx_11_0_arm64.whl (10.5 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

federaide-1.3.2-py3-none-macosx_10_9_x86_64.whl (11.2 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

federaide-1.3.2-py3-none-android_24_arm64_v8a.whl (10.6 MB view details)

Uploaded Android API level 24+ ARM64 v8aPython 3

File details

Details for the file federaide-1.3.2.tar.gz.

File metadata

  • Download URL: federaide-1.3.2.tar.gz
  • Upload date:
  • Size: 410.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for federaide-1.3.2.tar.gz
Algorithm Hash digest
SHA256 6a309fff78d068ebb6b2d3bc2c7690dbab65fb048dab33ca8c165449fa99f251
MD5 d641397f862497b6f00753ad3a9f8f58
BLAKE2b-256 2c9f0aafdd5ee33ef881d0e7741123b8685f9289019ea1e3a11fa8845460abe0

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.3.2.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-1.3.2-py3-none-win_amd64.whl.

File metadata

  • Download URL: federaide-1.3.2-py3-none-win_amd64.whl
  • Upload date:
  • Size: 11.3 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-1.3.2-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 11fbb2204df9ce19400eaa3ca3871207b11441dd9429e9b937f0f9848228958c
MD5 b1b6eb082eaab01002e403ee7b3e61ba
BLAKE2b-256 224184df8a2acdaa90535bfd5654340cbb5b2bde5efe8ce7c2cce9ce59274020

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.3.2-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-1.3.2-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.3.2-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f511a93414097b74a8211eb409b019c6ee026a821b94136e63c5177887a4416f
MD5 f97a534eefae8a6e46c80a6680b81458
BLAKE2b-256 f7e01e96e88788a78ef31761d23ab949da285d6b9e6766d8ed4ed38b34b8363f

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.3.2-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-1.3.2-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for federaide-1.3.2-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a196b161f6e03c57c4d0385073b7c2234767dcbb2f11a13bd14a8b544623e774
MD5 7ea607399da945a7888c99b19c86cbbb
BLAKE2b-256 d0c12a4e02410a2b5eca7e1c17c28d670793dbfc0402b9815ef06bdde18ac132

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.3.2-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-1.3.2-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for federaide-1.3.2-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f8904f3f99b08d3c6645f489d510a18bb48ab18e63a4d9e8a9a4cf97b74763be
MD5 fa25420559488d275986898c86be39d8
BLAKE2b-256 660f801b800e4df1f2a154ec8b41b4b1ed6085f69b149c19515997d06ffa330b

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.3.2-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-1.3.2-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.3.2-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2bf03942b06ebb8f425a82e022739f083ea485f5fd9c738cfe63dce1339d0d7e
MD5 54b6715ffd1fe33012033914246b7fca
BLAKE2b-256 6c36fe002941031c405387e5cf06b8caa4c25092c4ad12da98b87760cea98cef

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.3.2-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-1.3.2-py3-none-android_24_arm64_v8a.whl.

File metadata

File hashes

Hashes for federaide-1.3.2-py3-none-android_24_arm64_v8a.whl
Algorithm Hash digest
SHA256 8cf09524278c833d64f7b2ea0a57312e3ec5c53cce225afcd57fe45d771eb6fe
MD5 969660de1a1346ff09527e309e2fed79
BLAKE2b-256 974f1d77736e7b87f177de1d4af36f1206e34cfab2d6cc0873ddf4645c79b7c1

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.3.2-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

This release

1.3.2 This release

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

1.2.12

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