Kctx – A read-only Kubernetes context engine for SREs and AI Agents
A Kubernetes context engine for humans and AI agents. - lucasepe/kctx
Kctx – A read-only Kubernetes context engine for SREs and AI Agents launched on June 10, 2026 with 5 votes, #2,466 of 22,647 launches that month and more than 75% of that year's launches.
What it does
A small read-only Kubernetes context engine for humans, scripts, and AI agents. kctx turns Kubernetes API state into structured operational context. The tool is intentionally conservative: it reads cluster state, normalizes facts, and avoids speculative root-cause claims. kctx is useful for SREs, platform teams, Kubernetes operators, CI/CD diagnostics, internal tooling, MCP tools, and AI SRE workflows. It does not mutate resources, restart workloads, apply manifests, or guess root cause. kctx avoids raw manifests, Secret data, ConfigMap data, raw environment variables, logs, and workload metrics. Metadata and Kubernetes messages that are returned by supported outputs pass through a small…from github.com
Does a similar job
all alternatives →
Ktx – Open-source executable context layer for data agentsMay 2026 · github.com · ▲93Hi HN, we’re open-sourcing ktx. It’s an executable context layer that makes agents reliable on your data stack. We built it after going through the experience of building production-grade data agents for dozens of companies. If you’ve also tried building them, or simply tried using Claude Code or Codex on your data warehouse, you’ll know that accuracy is the #1 issue. Agents are great at generating valid SQL, but it’s not always correct SQL. To cite a few examples of “agents gone wrong”: - Stale column + hidden business rule: when preparing a board report, a finance analyst asks Claude Code…
Klaw.sh – Kubernetes for AI agentsFeb 2026 · github.com · ▲60Hi everyone, I run a generative AI infra company, unified API for 600+ models. Our team started deploying AI agents for our marketing and lead gen ops: content, engagement, analytics across multiple X accounts. OpenClaw worked fine for single agents. But at ~14 agents across 6 accounts, the problem shifted from "how do I build agents" to "how do I manage them." Deployment, monitoring, team isolation, figuring out which agent broke what at 3am. Classic orchestration problem. So I built klaw, modeled on Kubernetes: Clusters — isolated environments per org/project Namespaces — team-level…
KubeAstra–Open-source AI agent that debugs and recovers Kubernetes podsMay 2026 · github.com · ▲6AI-powered Kubernetes troubleshooting via chat or MCP - astraverse-io/KubeAstra
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
FastRouter.ai▲364Route requests to the right LLM for cost, latency & quality
AI · 23d ago · fastrouter.ai
Source: Show HN post ↗
Launched alongside, June 2026
the whole month →
Fundraisly▲1,537AI fundraising agent that finds investors and books meetings
AI · Jun 2026 · fundraisly.com
Homebrew 6.0.0▲1,481Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
Dev tools · Jun 2026 · brew.sh
Hi HN! I was super frustrated at apps like tiktok and wechat preventing me from saving or downloading the animated gifs, so I made a little tool to turn a screen recording into a slack-sized emoji. Hope you get some value from this!
Life & fun · Jun 2026 · vorpus.github.io
Search 18 years of Hacker News and chart how any topic, tool, or person trended. Overlay terms to compare their rise and fall across 45M posts and comments.
Life & fun · Jun 2026 · hackernewstrends.com