Multi-agent orchestrator: teams of personal agents that collaborate with each other
TinyAGI, formerly TinyClaw, is a multi-agent orchestrator for a one-person company: you run several teams of personal agents that collaborate with each other through Discord, WhatsApp, and Telegram. It includes the TinyOffice web portal for chat and monitoring, a live TUI dashboard, persistent sessions, and a SQLite-backed task queue. The canonical repository is now github.com/TinyAGI/tinyagi after the rename.
| Pricing | Open Source |
|---|---|
| Category | Automation & Agents |
| Platforms | web, windows, macos, linux |
| Company | TinyAGI |
| Official website | github.com |
Automation and agent tools promise to do work for you, so judge them on reliability before cleverness. Map the exact workflow you want to automate, then check the tool's integrations cover every app in that chain — one missing connector breaks the whole flow. Look for clear triggers, sensible limits, and logs you can read when something goes wrong, because something eventually will. For agents that act on your behalf, approval controls matter: you should be able to review messages, purchases or changes before they happen, especially at the start. Pricing usually scales with runs or tasks, so estimate your monthly volume honestly. Start with one low-risk workflow, measure the time it truly saves, and expand from there.
TinyAGI, formerly TinyClaw, is a multi-agent orchestrator for a one-person company: you run several teams of personal agents that collaborate with each other through Discord, WhatsApp, and Telegram. It includes the TinyOffice web portal for chat and monitoring, a live TUI dashboard, persistent sessions, and a SQLite-backed task queue. The canonical repository is now github.com/TinyAGI/tinyagi after the rename.
TinyAGI offers Multi-agent and multi-team orchestration, Discord, WhatsApp, and Telegram channels, TinyOffice web portal plus live TUI dashboard and Persistent sessions and SQLite queue.
TinyAGI is open source, so the software itself is free to download, use and self-host. Your only costs are the infrastructure you run it on and any paid services you connect to it.
Strengths of TinyAGI include True team-of-agents collaboration model; Strong multi-channel coverage; MIT licensed. On the downside, Experimental stability per its own README; Requires existing Claude or Codex subscriptions; Multi-agent coordination adds complexity.
by Agentell
Accountability layer for agencies running client AI agents on n8n and Make — one API key connects it, then it watches dependencies, re-runs failed steps and pauses runaway spend.
Best for: Agencies running client AI agents on n8n and Make who need cost and reliability reporting
Limitation: No published pricing — onboarding runs through a beta programme
by Ghosthand
Lets AI agents control a real iPhone from a Mac — screenshots over USB, taps/swipes/typing over Bluetooth — with no jailbreak, Xcode or app on the phone.
Best for: Developers and agent builders who want an AI agent to operate a real iPhone from a Mac
Pricing: Freemium
Limitation: Requires a Mac and a real iPhone — Linux, Windows and the iOS Simulator are not supported
by Pomerado
Turns any website with no API into a deterministic API/MCP for your agent — it builds and tests the integration itself, handles logins and 2FA, and self-repairs when the site changes.
Best for: Teams connecting agents to legacy portals and internal tools that have no API
Pricing: Freemium
Limitation: Free and $50 tiers allow only 1 account per website — unlimited accounts need the Contact-us plan
by boat
Persistent cloud Ubuntu VMs built for agent fleets — SSH, Docker, a 60fps virtual desktop and fast forking from snapshots, billed per second with stopped machines costing nothing.
Best for: Teams running fleets of coding agents that need real dev machines without managing infrastructure
Pricing: Paid
Limitation: $20/month plan minimum — the plan equals $20 of VM time, with overage paid from your wallet
by Agent Relay
Lets your team's agents talk to each other directly — a frontend agent can ask the backend agent what an endpoint returns, read each other's sessions and hand off work — instead of routing every handoff through a human copy-pasting between chats.
Best for: Teams running multiple agents that need to hand off work to each other directly
Pricing: Open Source
Limitation: The public homepage gives few technical details — setup runs through an agent-guided onboarding flow
by Relote
One shared memory for a person's AI tools and team: Claude, ChatGPT, Cursor and Claude Code save decisions, people and files to it over MCP and read them back next session
Best for: People and teams whose AI tools need to share decisions, clients and project memory
Pricing: Freemium
Limitation: Hosted service — your memory lives on Context Engine's servers, with an EU option at setup
