Skip to main content

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

Project description

Federate.AI

Federate.AI is a cross-platform, terminal-based peer to peer AI orchestration 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.


Why We Built Federate.AI

In many underprivileged regions of the developing world, owning a desktop computer is often a luxury, yet nearly everyone has access to a smartphone. Federate.AI is written to bring the joy of programming to those pocket-sized screens. It is designed to run natively and comfortably inside Termux on Android, transforming a sub-$100 smartphone into a fully capable engineering workstation.

But Federate.AI is also built for the most 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 the ultimate equalizer: accessible to everyone, yet incredibly powerful for those with top-tier setups.


What Makes Federate.AI Different?

1. Orchestration Freedom

Most multi-agent frameworks force you to write rigid, complex Python graphs and state-machine code to define how agents interact. Federate.AI replaces this overhead with simple prompt driven system.

You organize your team of agents simply by writing their backstories. Describe how they relate to one another, and Federate.AI 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 Federate.AI. 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.

2. Multi-Model, Cross-Provider Collaboration

Federate.AI 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.

3. Native Desktop Vision & Speech (Computer Only)

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.

4. Pocket-Sized Software Engineering

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

  • Context Injection (&): Type & followed by a file or directory (e.g., &src/app.py or &src/) to instantly parse and inject that code 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 Federate.AI exclusive as on date), speech to text, text to speech, research orchestration, computer use, telegram integration, task scheduling etc already baked in, more features might be added in the future.

Installation

Install the package via pip. We recommend installing with all optional extras to enable local voice/audio and serving capabilities:

pip install "federate[all]"

(For a lightweight installation without audio or computer usage capabilities, run pip install federate instead on Termux and Raspberry Pi).


Quickstart

Start the application from your terminal:

federate

(You can also open a specific project directory directly: federate path/to/folder)

Basic Setup

  1. Once the interface loads, press F4 to open the Agent Editor.
  2. Set up your active agent, including your API keys and model choices (Federate.AI is pre-configured for OpenRouter, but works with any OpenAI-compatible API).
  3. Federate.AI will securely encrypt and save your credentials inside your native OS keychain.

Changing Safety Modes (Ctrl+T / /arm)

To protect your workspace, the system boots in SAFE (PLAN) mode. In this mode, agents can search the web and read files, but they cannot edit code, run terminal commands, or control your computer.

  • Press Ctrl+T or type /arm to cycle permissions:
    • SAFE (PLAN): Read-only. Great for planning and research.
    • SEMI-AUTO: Agents can edit and execute, but Federate.AI will present a popup asking you to approve every single tool execution.
    • FULL-AUTO: Agents can run autonomous toolchains in the background.

Command Reference

  • Inject Files: 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.
  • Key Bindings:
    • F2: Session Manager (Create a new chat or load historical multi-agent sessions)
    • F4: Open the Active Agent configuration
    • F5: Cycle the host agent
    • F6: Cycle through UI panels (Chat ↔ IDE Editor ↔ Executions Dashboard)
    • F8: Change your workspace directory
    • Ctrl+K: Wipe the memory of all agents
    • Ctrl+A: ABORT (Emergency stop for any running AI tasks or terminal commands)
    • Ctrl+Q: Quit Federate.AI

Statutory Warning

  • Federate.AI contains full unrestricted code/command execution capabilities. This lets you hand full control of the device to the agent(s) running. This includes the ability to run potentially destructive code/commands. It is recommended to run it on a spare machine that contains no sensitive/valuable data and one that you do not mind wiping and resetting from time to time.
  • AI systems inherently navigate a trade-off between capability and safety; Federate.AI 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.

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

federate-0.9.4.tar.gz (15.4 MB view details)

Uploaded Source

Built Distributions

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

federate-0.9.4-py3-none-win_amd64.whl (26.3 MB view details)

Uploaded Python 3Windows x86-64

federate-0.9.4-py3-none-manylinux2014_x86_64.whl (26.1 MB view details)

Uploaded Python 3

federate-0.9.4-py3-none-manylinux2014_aarch64.whl (25.2 MB view details)

Uploaded Python 3

federate-0.9.4-py3-none-macosx_11_0_arm64.whl (25.5 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

federate-0.9.4-py3-none-macosx_10_9_x86_64.whl (26.2 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

federate-0.9.4-py3-none-android_24_arm64_v8a.whl (25.6 MB view details)

Uploaded Android API level 24+ ARM64 v8aPython 3

File details

Details for the file federate-0.9.4.tar.gz.

File metadata

  • Download URL: federate-0.9.4.tar.gz
  • Upload date:
  • Size: 15.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for federate-0.9.4.tar.gz
Algorithm Hash digest
SHA256 62943212dc1d5fe4bd1e2edf457f5bf2a9c2e589b0639ab9c12a3e6403ed1052
MD5 279144cf6bd28456446d31ab7f23fbfd
BLAKE2b-256 93c43a5562d333553a27fe72fe236fc960ef2f22cef5dff09e286c7228ba257d

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.4.tar.gz:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.4-py3-none-win_amd64.whl.

File metadata

  • Download URL: federate-0.9.4-py3-none-win_amd64.whl
  • Upload date:
  • Size: 26.3 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for federate-0.9.4-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 eee5feadaecdba8823bc56643f328ab7728214205e67a7d4a12f8f5f65a57d4a
MD5 9a32c3bfeefc3edaf7e02f178ce04272
BLAKE2b-256 fe1eb018e68a698d6cee3e78e20870940df77897640015dd1207a42b15776490

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.4-py3-none-win_amd64.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.4-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for federate-0.9.4-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1d18c95ea88bd304f8d282baa86bf6ec6f164dc6f5bd4d060f21bfb0c64dc8b7
MD5 d2e2832ebb6134ad63b948a2e9b31316
BLAKE2b-256 24e60bc0bd888c4c6d0ca92e7a2aea8514e93ec637482e702f6d5dcdb315cd6d

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.4-py3-none-manylinux2014_x86_64.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.4-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for federate-0.9.4-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 797fb98e84b3f88aa1564f0135149393319b07234de9e7d95b2271d5f0957ef6
MD5 1b33742a2c960d5157f36232fa814c62
BLAKE2b-256 b76205506b61eb5b71faa347671ad5c3d5eb8c84db55d64b9d276e9506b3c870

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.4-py3-none-manylinux2014_aarch64.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.4-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for federate-0.9.4-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9f090699e05b0e99f078289f9bc83c7a44c29ed02964723a9e9a0083ca904883
MD5 08e5fff6702dc5c07ac3c7484f37f9a4
BLAKE2b-256 061aebdec7da162bc847f89e361668d304e94603913dcd7bf8e08af0419115eb

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.4-py3-none-macosx_11_0_arm64.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.4-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for federate-0.9.4-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1a8202729a4819f6cf2c19789bc646a21317ac472f1680d9d18b3787f08a8b47
MD5 0e930cbe996ee24d88c9aa52dfd50041
BLAKE2b-256 db61418b6777462376cfc4c5d29535c088309c151cd0bf356e4f75ed8bfe4fb7

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.4-py3-none-macosx_10_9_x86_64.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file federate-0.9.4-py3-none-android_24_arm64_v8a.whl.

File metadata

File hashes

Hashes for federate-0.9.4-py3-none-android_24_arm64_v8a.whl
Algorithm Hash digest
SHA256 4184032ed26c1ec317688eb395f480b1dcf972673b72db66e298123b4aee1c21
MD5 a6b1f15504088f01100bc1935dadce32
BLAKE2b-256 c484f4b5ae8ab263c61e90039bab20351bf2a8378e1c2157e6310d32068d4f5a

See more details on using hashes here.

Provenance

The following attestation bundles were made for federate-0.9.4-py3-none-android_24_arm64_v8a.whl:

Publisher: release.yml on ROCK-LAB-PRIVATE-LIMITED/federate.ai

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