Radar / AI agents / CowAgent

CowAgent: open-source super AI assistant and agent harness with memory that compounds

An open-source personal AI assistant and agent harness by zhayujie, back on Hacker News' front page this week: it plans tasks, runs built-in tools and installable skills, keeps a three-layer long-term memory (contextual, daily, core) with self-evolution from conversation reviews, and serves many models and channels — web console, Telegram, Slack, Discord, WeChat — from one self-hosted instance. MIT-licensed, 47,600 GitHub stars, one-line install or Docker, latest release v2.2.1 on 14 October.

trendingagents · assistantsJEV traction 0.78zhayujie/CowAgent · 47,608 ★added 2026-10-26

Open CowAgent →View on the radar

Why it matters

One self-hosted assistant that spans many models and every chat channel a user already lives in, with memory that compounds over time instead of resetting each session.

What you could build with it

An indie developer could ship a round-the-clock support assistant for a small business: one CowAgent instance watches a Telegram group and a website chat, answers from a personal knowledge base, and escalates only the questions it cannot resolve to a human.

Does it hold up?

Usable today for self-hosters: one-line install or Docker, a web console for chat and configuration, and a desktop client; the cost is bringing your own model API keys and configuring channels, and multi-agent setups still need hands-on tuning.

Built with CowAgent

CowAgent official siteofficial site · Project homepage linked from the repo: install, channels, and docs for the self-hosted assistant.
CowAgent skill listing and security scanSkillsLLM · Third-party listing confirming 47,600 stars, multi-model and multi-channel support, and a passed automated security scan with no high-severity issues.
CowAgent overview and release notesEveryDev · Independent overview: MIT-licensed core, one-line install or Docker, web console on port 9899, and latest release v2.2.1 from 14 October.

Learn more

technical deep dive →

First spotted on github: source.

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