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.


Release files for federaide-dev-nightly 1.3.20

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for federaide-dev-nightly 1.3.20
File Size Uploaded
federaide_dev_nightly-1.3.20.tar.gz 413.2 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for federaide-dev-nightly 1.3.20
File
federaide_dev_nightly-1.3.20-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details
federaide_dev_nightly-1.3.20-py3-none-manylinux2014_x86_64.whl Python 3 none Linux glibc 2.17+ x86-64 Details
federaide_dev_nightly-1.3.20-py3-none-manylinux2014_aarch64.whl Python 3 none Linux glibc 2.17+ ARM64 Details
federaide_dev_nightly-1.3.20-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details
federaide_dev_nightly-1.3.20-py3-none-macosx_10_9_x86_64.whl Python 3 none macOS 10.9+ x86-64 Details
federaide_dev_nightly-1.3.20-py3-none-android_24_arm64_v8a.whl Python 3 none Android API level 24+ ARM64 v8a Details

Total release size: 65.2 MB

Release files / federaide_dev_nightly-1.3.20.tar.gz

Download URL federaide_dev_nightly-1.3.20.tar.gz
Size 413.2 kB
Tags Source
SHA-256 checksum
How to use checksums
7d9f7f771a679030d83046b6a986f6753ea994c00948722cf8dd98451f97d28e
BLAKE2b-256 checksum
How to use checksums
2488569193585122615de4b569d11c040246d14ca8a6050c161592bcb4ce5cb2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.

Transparency log

Release files / federaide_dev_nightly-1.3.20-py3-none-win_amd64.whl

Download URL federaide_dev_nightly-1.3.20-py3-none-win_amd64.whl
Size 11.3 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
2469c16ca63d3729853eff8b8f90807bbd16b68470e26dbb9e09fc3ccd0e8f55
BLAKE2b-256 checksum
How to use checksums
187e25b67c9ce7ce322320ebe7b4a40c012b8b45d9c07667294178cbc88413c1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.

Transparency log

Release files / federaide_dev_nightly-1.3.20-py3-none-manylinux2014_x86_64.whl

Download URL federaide_dev_nightly-1.3.20-py3-none-manylinux2014_x86_64.whl
Size 11.1 MB
Tags Linux glibc 2.17+ x86-64 Python 3
SHA-256 checksum
How to use checksums
36204f228dc9ab75e0f7f75d7711feccfc51a622c14f92e0f73630757d90e167
BLAKE2b-256 checksum
How to use checksums
100d99d910a36031e64039fd7242093d9b61aee761e14a55767c820066ece319
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.

Transparency log

Release files / federaide_dev_nightly-1.3.20-py3-none-manylinux2014_aarch64.whl

Download URL federaide_dev_nightly-1.3.20-py3-none-manylinux2014_aarch64.whl
Size 10.2 MB
Tags Linux glibc 2.17+ ARM64 Python 3
SHA-256 checksum
How to use checksums
0814671886c3512740d08c9afccb808e564a994cf1475f7af99602de69431c5b
BLAKE2b-256 checksum
How to use checksums
bb25904c36f8e9c0425f96eed9d0e17831e59d0c1cb4486e56674dcda74a2d88
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.

Transparency log

Release files / federaide_dev_nightly-1.3.20-py3-none-macosx_11_0_arm64.whl

Download URL federaide_dev_nightly-1.3.20-py3-none-macosx_11_0_arm64.whl
Size 10.5 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
94458781d5e47f974797b968c335d0b7d92ca98849fee0d3ec53ca4c8da73b89
BLAKE2b-256 checksum
How to use checksums
0a678cdef298ea5129060beee9ecbf2806ad7690c4ae285da74ce7baccb8b515
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.

Transparency log

Release files / federaide_dev_nightly-1.3.20-py3-none-macosx_10_9_x86_64.whl

Download URL federaide_dev_nightly-1.3.20-py3-none-macosx_10_9_x86_64.whl
Size 11.2 MB
Tags Python 3 macOS 10.9+ x86-64
SHA-256 checksum
How to use checksums
4f074e5d53fb3d7d295bb08bbc614f6dd77ebadac99427f8b6b6daf6b29da95e
BLAKE2b-256 checksum
How to use checksums
c3dc7e602d881d46e4b7820b6f72b86bb4420a400cd2f64c60362ce7fdec59cd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.

Transparency log

Release files / federaide_dev_nightly-1.3.20-py3-none-android_24_arm64_v8a.whl

Download URL federaide_dev_nightly-1.3.20-py3-none-android_24_arm64_v8a.whl
Size 10.6 MB
Tags Android API level 24+ ARM64 v8a Python 3
SHA-256 checksum
How to use checksums
2aa796927967ce505c2cb2700ec934f6b92f81ea2c3ebb8c16ff08e62223fd57
BLAKE2b-256 checksum
How to use checksums
f12b79c499a94d7be40344c378015e0265f3a6d4ae9cc12403c288f8c1dc43bd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.

Transparency log

Release history Release notifications | RSS feed

1.3.21

7 release files

This release

1.3.20 This release

7 release files

1.3.19

7 release files

1.3.18

7 release files

1.3.17

7 release files

1.3.16

7 release files

1.3.9

7 release files

1.3.8

7 release files

1.3.7

7 release files

1.3.6

7 release files

1.3.5

7 release files

1.3.4

7 release files

1.3.3

7 release files

1.3.2

7 release files

1.3.1

7 release files

1.3.0

7 release files

1.2.21

7 release files

1.2.20

7 release files

1.2.19

7 release files

1.2.18

7 release files

1.2.17

7 release 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