Skip to main content

A cross-platform terminal based p2p agent orchestration harness and universal automation system

Project description

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 details


Download files

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

Source Distribution

federaide-1.1.2.tar.gz (307.7 kB view details)

Uploaded Source

Built Distributions

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

federaide-1.1.2-py3-none-win_amd64.whl (11.1 MB view details)

Uploaded Python 3Windows x86-64

federaide-1.1.2-py3-none-manylinux2014_x86_64.whl (11.0 MB view details)

Uploaded Python 3

federaide-1.1.2-py3-none-manylinux2014_aarch64.whl (10.0 MB view details)

Uploaded Python 3

federaide-1.1.2-py3-none-macosx_11_0_arm64.whl (10.4 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

federaide-1.1.2-py3-none-macosx_10_9_x86_64.whl (11.0 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

federaide-1.1.2-py3-none-android_24_arm64_v8a.whl (10.4 MB view details)

Uploaded Android API level 24+ ARM64 v8aPython 3

File details

Details for the file federaide-1.1.2.tar.gz.

File metadata

  • Download URL: federaide-1.1.2.tar.gz
  • Upload date:
  • Size: 307.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for federaide-1.1.2.tar.gz
Algorithm Hash digest
SHA256 06202063215222648fa8b6dea0dfe9dbd80f247631e78d13466f2e513a71bfe5
MD5 1df7e71e15ce96e3082db6b341633058
BLAKE2b-256 92fe287d3558c4ddebab1382e06cf50b51608a3afa5cd3d1df81e5e1571abb4e

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.2.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-1.1.2-py3-none-win_amd64.whl.

File metadata

  • Download URL: federaide-1.1.2-py3-none-win_amd64.whl
  • Upload date:
  • Size: 11.1 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for federaide-1.1.2-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 b53da6aeaae1984121846ae805ba1b5720b8464bd4e5adad2eeedb1bc1c519b0
MD5 e083f1ae59c3d8301397e6292495c86d
BLAKE2b-256 a9c5058cc394f4eeaacf9b886a262fe2985bc3c0386f5d9cda17aafe91cdacbd

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.2-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-1.1.2-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.1.2-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1d943c48fecc8bb9a5f9db74a00b7e435501d119841002c224540354e58013e0
MD5 0587f69573de08acf0c9d3c78e82a11a
BLAKE2b-256 13016b02433b92d0889ce823e8e516ad8f0355135ccfd56da197b39fb5488941

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.2-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-1.1.2-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for federaide-1.1.2-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f53db141aaac12c458d68288f71051d1a2a190655f05ccc4928ef8112a897d3c
MD5 2213fcb05836b51caadc70783d581646
BLAKE2b-256 988302b7bae079ededa6f20251a796d98c234aa9cda0fa380df492764c7e112c

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.2-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-1.1.2-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for federaide-1.1.2-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b12c3da1e76e83eba2d9aa8bbd928db5818b4eb06c7c0c6863d4016d53dec138
MD5 c2f3528c923a0f80c234b240b4e7ae52
BLAKE2b-256 6950eb3b74fd0e311951f76882c52bf88d70eb2ece5a114fbac6214d9bc4cb74

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.2-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-1.1.2-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for federaide-1.1.2-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 68b225db11a4211cc26a1d962ee6e115aef0dd47011c6b4be1769e47a0ea68b0
MD5 2e7ba36b76fe429b5882da3afd6a8eac
BLAKE2b-256 646ec2af190228521e877345cad8bd4e8917c6a514d6b9cd7956d1a7a2b5905e

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.2-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-1.1.2-py3-none-android_24_arm64_v8a.whl.

File metadata

File hashes

Hashes for federaide-1.1.2-py3-none-android_24_arm64_v8a.whl
Algorithm Hash digest
SHA256 330da6bdcdd903c0cedbc672ca509b0640ca206b803e1a6d8646a3af9dda3225
MD5 842b2a6d50983a2d457600cbaa05dbd4
BLAKE2b-256 317f11391a49391e3def26c5e1ee64c640c38690c3e5683e4b4b47e8a563f06c

See more details on using hashes here.

Provenance

The following attestation bundles were made for federaide-1.1.2-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.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page