Kern – One agent. One folder. One mind. Every channel
Agents that do the work and show it. Contribute to oguzbilgic/kern-ai development by creating an account on GitHub.
Kern – One agent. One folder. One mind. Every channel launched on March 24, 2026 with 5 votes, #1,928 of 23,380 launches that month and more than 75% of that year's launches.
What it does
Agents that run on your machine, use real tools, remember everything, and publish their own dashboards. Not chatbots — autonomous workers with one brain across every channel. kern pairs with agent-kernel — the kernel defines how an agent remembers, kern runs it. # Run an agent docker run -d --restart=unless-stopped \ -p 4100:4100 \ -v my-agent:/home/kern/agent \ -e OPENROUTER_API_KEY=sk-or-... \ -e KERN_AUTH_TOKEN=my-secret-token \ ghcr.io/oguzbilgic/kern-ai # Run the web UI docker run -d -p 8080:8080 ghcr.io/oguzbilgic/kern-ai kern web run Open http://localhost:8080 , click Add agent , enter http://localhost:4100 and your token. That's it. docker run -d --restart=unless-stopped \ -v…from github.com
Does a similar job
all alternatives →
Agent Kernel – Three Markdown files that make any AI agent statefulMar 2026 · github.com · ▲44Minimal kernel to make any AI coding agent stateful. Clone, point your agent, go. - oguzbilgic/agent-kernel
Kern – container and resource runtime in a 1.5 MB binary, no daemonAug 2026 · github.com · ▲70A fast, rootless sandbox and virtual resource runtime for any workload, including untrusted and AI-generated code. Daemonless: a real, kernel-enforced container in ~3.5 ms from an OCI image, out of one static binary - getkern/kern
Parallel CodeMar 2026 · parallelcode.app · ▲159I kept running into a structural problem with AI coding tools. You try one agent. It makes changes. You try another. Now you're manually diffing branches and cleaning up experimental commits. The tools are powerful, but the workflow isn’t designed for comparison. So I built Parallel Code. It runs Claude Code, Codex, and Gemini CLI natively (no API wrapper, no feature abstraction), but isolates each agent in: its own terminal its own Git worktree its own feature branch The workflow becomes: Spawn N worktrees Assign one AI agent per worktree Let them implement independently Compare diffs Merge…
KernoDec 2025 · kerno.io · ▲132Hey HN! Anibal, Sean, Vlad, Maxi and Karim here we're the co-founders of Kerno (https://www.kerno.io/). We're building a zero-hassle tool to help developers monitor and troubleshoot their services in a way that makes sense. No complex rollouts, no custom infra, no tons of instrumentation, no sidecars… none of that! Just a minimum effort, out-of-the box, highly contextualized and interactive experience so you and your team can focus on shipping! We basically scan your cluster resources, build usable abstractions on top of all the kubernetes craziness, identify monitor your…
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