AI Agents Hub
AutoGPT
The original autonomous agent platform — build, deploy, and run goal-driven agents.
The project that kicked off the autonomous-agent hype — now a mature self-hostable platform, but the Polyform Shield on the new platform portion is a watch-out for commercial use.
What it is
AutoGPT is the project that kicked off the autonomous-agent hype in 2023. It has since matured into a full agent platform: a benchmark (agbenchmark), a frontend with low-code Agent Builder, a marketplace of pre-configured agents, and a self-hostable runtime. The repo is still one of the highest-starred AI agent projects on GitHub (170k+ stars). The classic AutoGPT agent, Forge, and GravitasML stay MIT; the newer autogpt_platform/ folder is under the Polyform Shield license, which is permissive for personal/internal use but restricts competitive SaaS offerings.
Best for
- Build, benchmark, and deploy goal-driven agents from a low-code interface
- Self-host the full platform on your own hardware (4-core / 8 GB min)
- Study a canonical autonomous-agent platform with an agent-protocol-compatible frontend
- Trade pre-built agents from the marketplace or wire up your own blocks
Pros
- Mature project with a huge community and 170k+ GitHub stars
- Self-hostable end-to-end via one-line installer script
- Bundled benchmark, frontend, CLI, and marketplace reduce boilerplate
- Classic agent core + Forge stays MIT — you keep control
Cons
- Harder than newer turnkey options — you need Docker, WSL2 on Windows, and 8–16 GB RAM
- The autogpt_platform/ folder is Polyform Shield, not MIT — read the license before building commercial SaaS on top
- Documentation spans many versions and forks; expect to dig through old blog posts
Quick start
- Prereqs: Docker Engine 20.10+, Docker Compose 2.0+, Git 2.30+, Node 16+. Hardware: 4+ CPU cores, 8 GB RAM min, 10 GB free disk.
- macOS / Linux: `curl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh`
- Windows: open PowerShell as admin → `iwr https://setup.agpt.co/install.bat -o install.bat; ./install.bat` (WSL2 enabled).
- Open http://localhost:3000 in a browser — the Agent Builder loads with a blank canvas.
- Drag a "trigger" block + an "AI agent" block + an "output" block, save the agent, click Run.
Sample input / output
Agent name: "Viral Video Finder"
Trigger: every 6 hours
Block 1 (Reddit scraper): pull top 10 posts in r/videos (past 6h, score > 1000)
Block 2 (LLM): pick the 3 posts most likely to be viral B-roll for short-form video; justify each pick
Block 3 (video composer): render a 15-sec clip with the Reddit thumbnail + the LLM's caption
Block 4 (output): post to /tmp/auto-videos/ and ping a webhookSaved 3 clips in /tmp/auto-videos/
- 2026-07-05_sunset_microwave.mp4 (caption: "POV: your microwave becomes sentient at golden hour")
- 2026-07-05_parking_lot_dance.mp4 (caption: "Why is this lot full at 3am")
- 2026-07-05_cat_holds_door.mp4 (caption: "Citizen of the year nominee")
Run completed in 4m12s, webhook delivered.Benchmarks
Pricing
MIT core is fully free to self-host. Cloud-hosted beta is invite-only. Self-host hardware: 4+ CPU cores, 8 GB RAM minimum (16 GB recommended), 10 GB disk, Docker Engine 20.10+, Docker Compose 2.0+, Git 2.30+, Node 16+. One-line installer: `curl -fsSL https://setup.agpt.co/install.sh | bash`.
Underlying models
Self-hosting
Yes — AutoGPT can be self-hosted under the MIT (core) + Polyform Shield (autogpt_platform/) license. This gives you full control over data and deployment.