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.

Project links

Data verified by PyPI on Aug 6, 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 6, 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-1.1.33.tar.gz (327.0 kB view details)

Uploaded Source

Built Distributions

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

federaide-1.1.33-py3-none-win_amd64.whl (11.2 MB view details)

Uploaded Python 3Windows x86-64

federaide-1.1.33-py3-none-manylinux2014_x86_64.whl (11.0 MB view details)

Uploaded Python 3

federaide-1.1.33-py3-none-manylinux2014_aarch64.whl (10.1 MB view details)

Uploaded Python 3

federaide-1.1.33-py3-none-macosx_11_0_arm64.whl (10.4 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

federaide-1.1.33-py3-none-macosx_10_9_x86_64.whl (11.1 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

federaide-1.1.33-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-1.1.33.tar.gz.

File metadata

  • Download URL: federaide-1.1.33.tar.gz
  • Upload date:
  • Size: 327.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for federaide-1.1.33.tar.gz
Algorithm Hash digest
SHA256 e3f716ff1d1cf5ed9c5b17b5bcdf5d4149fbecac24139040ffb161da63886c4d
MD5 e7e15c6952e0ca8a2462bd65cf0168e5
BLAKE2b-256 860b1c9096799836b25ef8f001295b2c6dc7d15995d3ddcf646e047b0a2b95c3

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.33.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-1.1.33-py3-none-win_amd64.whl.

File metadata

  • Download URL: federaide-1.1.33-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-1.1.33-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 d2d4e5cc7668a00e265b54a6b3235c5b7b018bfc1ed3e3ae460f9174e3dd908e
MD5 dd23f9e95ef01e90dcd7f21f1ddd771c
BLAKE2b-256 177d15d9b290826a758ec2a2102d4dd1e1fa9c0d42bd07c6758ca3f82022b315

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.33-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-1.1.33-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.1.33-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1258971f394fa074706471e2ff054174444ebe252f5fc897cc9a665079edafff
MD5 9dee0bcaab7777d8bf0d709c2c875097
BLAKE2b-256 1bb651def785f48781f0b8bae88c1158425c03d9ed5119d1248c5448fef16cf8

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.33-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-1.1.33-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for federaide-1.1.33-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a3671d701186e04199ccbac46ad84dc43bb7eb7122cc768a7b4e7ebf42e775c0
MD5 f9e7b52e440d85f60ff7e011b14c19f5
BLAKE2b-256 6af404a10ebb89d806d4b9625dc57ab6828b49b9261a19cbe4f2b73fa0e449fa

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.33-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-1.1.33-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for federaide-1.1.33-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 440ffd2382bd2e37858f43ce2eb44eea5214161df0073dcf234cca24caec0c3a
MD5 0c1e3c3377113325ad98ea2780e3c2c6
BLAKE2b-256 4e6c8e45032965b1f997d4bea4a55fe42509cbd1df8380740fd1ceba836aed98

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.33-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-1.1.33-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.1.33-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c44489a5e81c9ebc6cabaabf9c90a2a631428654b3147f9917def8b95523f0da
MD5 5758d708a198cde2c3eb84e8ea7d0415
BLAKE2b-256 e4ec746319daadb1ba226755e18a13a7fc34eb4210d940df0ac07b32ec1d82f2

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.33-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-1.1.33-py3-none-android_24_arm64_v8a.whl.

File metadata

File hashes

Hashes for federaide-1.1.33-py3-none-android_24_arm64_v8a.whl
Algorithm Hash digest
SHA256 3cac3caa38a0e0b64fb922a0e954180cf02a134e2896ed758b1bf8f7c7ba3593
MD5 ced2a6357d79fccdbfd3b499fa229502
BLAKE2b-256 caf41c946c03d1713b392883c63f11e7abf07e999d77dfd8b5f85a86ae430809

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.33-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

This release

1.1.33 This release

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