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.

Project links

Data verified by PyPI on Aug 12, 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 (1.3.15)

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 Aug 12, 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

federaide-1.2.11.tar.gz (334.9 kB view details)

Uploaded Source

Built Distributions

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

federaide-1.2.11-py3-none-win_amd64.whl (11.2 MB view details)

Uploaded Python 3Windows x86-64

federaide-1.2.11-py3-none-manylinux2014_x86_64.whl (11.0 MB view details)

Uploaded Python 3

federaide-1.2.11-py3-none-manylinux2014_aarch64.whl (10.1 MB view details)

Uploaded Python 3

federaide-1.2.11-py3-none-macosx_11_0_arm64.whl (10.4 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

federaide-1.2.11-py3-none-macosx_10_9_x86_64.whl (11.1 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

federaide-1.2.11-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-1.2.11.tar.gz.

File metadata

  • Download URL: federaide-1.2.11.tar.gz
  • Upload date:
  • Size: 334.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for federaide-1.2.11.tar.gz
Algorithm Hash digest
SHA256 b5298d4f4e6c0a7cba590877039e8ab60bfd513daf305af09a7c7fda88598c34
MD5 40c7833a7b256898ae5ea3547e8a1fa1
BLAKE2b-256 de41780f444c70ece14f07c014ccff301aba16b4be42e2bf4cfbb96203cb9749

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.11.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-1.2.11-py3-none-win_amd64.whl.

File metadata

  • Download URL: federaide-1.2.11-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-1.2.11-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 e7cd58eec23620d918ba567d1fb83d29ca61e3166288e729e107eddf5ea731e1
MD5 e950d0d2dde731af59f6124f2cc5a42a
BLAKE2b-256 9201a89f8712a7c00843086773858efde0ecbd45eee9081b37feb14db264747f

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.11-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-1.2.11-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.2.11-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d096d23131624c8ef8f362ab3677079a791f8214e514cf1bfdf6fbce9c0270d6
MD5 a39e4386a2b6b2aa98484b157bf80105
BLAKE2b-256 1f1fd05ddffaad45fe14bdd1801010e7c1d609247272d2c93e41069959d0e43c

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.11-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-1.2.11-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for federaide-1.2.11-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d090931a3550e5ad816567d336125e6eb1160a49b882919bdd780f6485f4ce93
MD5 fb8668f359af2f944611b1263ccdf037
BLAKE2b-256 1050ade9a6e5db92b39bc489aaa242bf3a0596f52f917056c8b587cf5ec6bd40

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.11-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-1.2.11-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for federaide-1.2.11-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9ef68cdf46dc9972f13adb6f0fb060ccbafb657b2a12da528bcc847612c2577a
MD5 53660bf8491569b8145fccc67fb74b44
BLAKE2b-256 a34cce10d3ab84577b15fac408fc3e678b7090da33cf6e5b5f46650b32067bdc

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.11-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-1.2.11-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.2.11-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 530544d75a8ab2552a26d20c716b1cabf857ccccfdf40f7e6d9685754b8f3dc7
MD5 08262d0d2ff6a9e95c24e58029e3a188
BLAKE2b-256 0d2817df3fa642f207e8bf8f8b01569d350e252421051cbd0511b5644f0d3b9e

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.11-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-1.2.11-py3-none-android_24_arm64_v8a.whl.

File metadata

File hashes

Hashes for federaide-1.2.11-py3-none-android_24_arm64_v8a.whl
Algorithm Hash digest
SHA256 ac7af4e3874a1308faa90967fb78f9b172ec0831c0b41dab54cc41697e34c097
MD5 207e6cbf442fdbb42ab276145248c6c7
BLAKE2b-256 d4a2859a8c6390269152a3c25195f88b5012f75c716b6ad68737f1933070fc7f

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.2.11-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

This release

1.2.11 This release

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