πŸŒ™ See why we KO the competition
100/100 Score Β· Open Source Β· Windows

The self-improving AI agent
that drives your real desktop

OpenAmer works on your machine in the background β€” clicking, typing, researching, automating β€” while you keep working. It learns, heals itself, and grows with you.

250+
Built-in skills
1M
Token context
100
Agent score
16
Languages

Capabilities

Everything a modern agent should be

Built for autonomy: it sees your screen, drives your apps, remembers context, and coordinates many tasks at once.

πŸ–₯

Background Computer-Use

Drives your real Windows desktop β€” no VM, no sandbox. Clicks, types, and scrolls alongside you in the background.

πŸ•Έ

A2A Swarm

Spawn worker agents for parallel work. Master/worker architecture, debate mode, and automated delegation.

🧠

Vector Memory

Smart memory persists across sessions. Remembers preferences, learns from past interactions, improves over time.

🌐

Its Own Browser

CDP browser with full web control. Research, navigate, and extract data without Cloudflare blocks.

🧩

250+ Skills

Web research, coding, desktop automation, voice, email, social media, and more β€” all built in.

πŸŽ™

Voice Interface

STT + TTS voice control on Windows. Natural commands for hands-free operation.

ASI Core Engine

5 native tools Β· 10-subsystem heartbeat Β· A2A global mesh

Every OpenAmer instance runs the ASI Core β€” a self-improving engine that thinks, learns, remembers, predicts, and acts autonomously. No subprocesses, no wrappers.

🧬

5 Native ASI Tools

think β€” recursive reasoning with self-critique
learn β€” online learning from every interaction
remember β€” episodic memory with vector search
predict β€” world-model outcome prediction
trigger β€” autonomous action scheduling

πŸ’“

10-Subsystem Heartbeat

Replaces 84 cron jobs with a unified health monitor. Checks every subsystem in parallel β€” reasoning, memory, learning, skills, browser, desktop, networking, plugins, jobs, security β€” and reports all failures at once.

🌍

A2A Global Mesh

Every OpenAmer instance talks to every other via Agent-to-Agent protocol. The Darwin Grid is live β€” cross-instance memory sharing, skill propagation, and collaborative reasoning.

$ openamer asi status  |  openamer asi heartbeat  |  openamer asi think

Live Demo

OpenAmer in action

openamer β€” agent session
$ openamer "research top open-source AI agents and summarize"
β–Έ spawning research agent…
β–Έ agent[2] browsing the web…  agent[3] extracting from GitHub…
βœ“ memory updated Β· summary ready (1.2s)

$ openamer "organize my Downloads folder and clean temp files"
β–Έ using desktop-control skill…
βœ“ moved 23 files Β· freed 1.4 GB

$ openamer "post a status update on X"
β–Έ opened browser β†’ composed β†’ published βœ“

Ecosystem

⬑ OpenAmerβ›Š Seda Β· AI child🧩 PluginsπŸ“š AcademyπŸŽ“ Consulting

Writing

How OpenAmer measures itself

Long-form engineering posts about a self-verifying agent β€” every number quoted in them is read from the live outcome ledger, failed runs included.

OpenAmer · MIT License · Built with ❀️ · Seda