AI Agent / Multi-Agent Orchestration

Federaide

Federaide is a multimodal multi-agent orchestration harness for Mac, PC, and Android, with peer-to-peer agent routing, terminal-based code execution, voice input/output, Telegram access, scheduled routines, memory, and desktop control.

Clear26/30
Useful23/30
Specific17/20
Complete16/20
Federaide screenshot

Why it was accepted

The page clearly presents a real AI product with a defined purpose and multiple concrete capabilities. It shows installation commands, platform support, and enough feature detail to make a useful public listing for people exploring agent orchestration tools.

Weakness

The crawl does not show pricing, licensing, screenshots, API/docs depth, or how stable the project is beyond the feature overview. It also does not spell out model support, integrations beyond Telegram, or how the peer-to-peer routing works in practice.

Review status

19 days ago #1181 ↓ -2

Last evaluated 19 days ago. Current rank #1181. Down 2 spots in the rankings.

Score history

82

Related listings

Ami screenshot
#107 Ami
89

AI Agent / Personal Productivity

Ami is a local, open-source AI agent that connects to apps and tools with your own tokens, keeps a universal to-do list, and runs busywork on your behalf. It includes copilot chat and graph memory, and runs on your machine with local data storage.

Thio's Universal Agent screenshot

AI Agent / Computer Use / Desktop Automation

A Windows desktop agent that lets AI interact with any app through visual GUI control, with a portable single-EXE build and support for ChatGPT, Gemini, and Claude.

Hestia screenshot
#688 Hestia
85

AI Agent / Home Assistant

A local-first, self-hosted home assistant that runs a local LLM as a single brain for Home Assistant, voice, memory, reminders, media control, and other scoped tools.

Autodidact screenshot
#961 Autodidact
84

AI Agent / Self-improving assistant

Open-source local-first AI agent that routes between local and cloud LLMs, learns from escalations, and stores knowledge for future queries. The repo includes a quickstart, setup modes, and a concrete explanation of how it ingests docs and improves over time.