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 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.


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/Linux/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

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-1.1.24.tar.gz (316.4 kB view details)

Uploaded Source

Built Distributions

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

federaide-1.1.24-py3-none-win_amd64.whl (11.2 MB view details)

Uploaded Python 3Windows x86-64

federaide-1.1.24-py3-none-manylinux2014_x86_64.whl (11.0 MB view details)

Uploaded Python 3

federaide-1.1.24-py3-none-manylinux2014_aarch64.whl (10.1 MB view details)

Uploaded Python 3

federaide-1.1.24-py3-none-macosx_11_0_arm64.whl (10.4 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

federaide-1.1.24-py3-none-macosx_10_9_x86_64.whl (11.1 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

federaide-1.1.24-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-1.1.24.tar.gz.

File metadata

  • Download URL: federaide-1.1.24.tar.gz
  • Upload date:
  • Size: 316.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for federaide-1.1.24.tar.gz
Algorithm Hash digest
SHA256 587c879e266a72ae5dcacdfc8757c5c15f5b4c2b1aff668954a0b0125f12d4bc
MD5 73578e5d848926db2bf83e84e26e390f
BLAKE2b-256 5df0307437caa4928f933ff00462a3d66eadd0382e1c84bf9179b1f30df3ef3f

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.24.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-1.1.24-py3-none-win_amd64.whl.

File metadata

  • Download URL: federaide-1.1.24-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-1.1.24-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 afff078f357f06c0d486277f050474a8fbb4c6a21c883a7f1731a130168c821f
MD5 6c91fecc4a45a6dc8809e52d9086c491
BLAKE2b-256 996469e5ee8b6d7576fb392d8372f83f7fa68773fc6d1bc6dfc6a22c8247c23b

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.24-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-1.1.24-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.1.24-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1c9d05ad2aa0c4b6b52b7b63735135b61cf6e9958bf6266137139e59bdd650fe
MD5 912672aba20f1186c0d2dcdbff144539
BLAKE2b-256 a2f866a9c71a33cd491749ffc8db1d95b031b38e16cc9ef7cf671ba2dd771024

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.24-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-1.1.24-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for federaide-1.1.24-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 420fbcce76a8e0121c324e87c225d28b0ee4e729f72c90bbb181437a6195e07f
MD5 694a61226e52954c237213eaf3525297
BLAKE2b-256 86eae81667554f5fc2f0a389c8bbe4f0da030daaf375c50fe749183f24a37aba

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.24-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-1.1.24-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for federaide-1.1.24-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0f6129768125870d668e460f3548a0bd7e4bf7204898bc91b35ff2760e35573d
MD5 a6be62aad03078c9f2266f4f52d4e760
BLAKE2b-256 fa5349ab79072f4965e5cd153544cf1f4a14b639d5d08e0a34f81ef0778f9b10

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.24-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-1.1.24-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.1.24-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 be1414d62618541125c2efb10a3412d6a2f77f33a13ce16653b2b650b7e75e80
MD5 390dc935c16d26f80fae655bd089618c
BLAKE2b-256 a0dad6375966cce45bb639f7d36fe69977c9a98f1a5a9f1c15fb3c5d0b7b3efb

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.24-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-1.1.24-py3-none-android_24_arm64_v8a.whl.

File metadata

File hashes

Hashes for federaide-1.1.24-py3-none-android_24_arm64_v8a.whl
Algorithm Hash digest
SHA256 3fdd6656dc5118241ceff49c8233cb20bb7ff250ba866a66ae72ad0d36cedc67
MD5 f0d624ad561a335015a00b47eff2909a
BLAKE2b-256 c1febcc168ee778fdff8fbbd80e0eb02909e2caf486de00ce0625ecbca1d2002

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.24-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

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

This release

1.1.24 This release

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