Kasetto

What it does

Setting up AI agents shouldn't be a series of one-off clicks. Kasetto turns your AI Skills and MCP servers into a single YAML file the same way you'd manage dependencies in any other project. Version it in Git, share it with your team, run "kst sync", and every machine ends up identical. Use global or project scope, layer personal configs on top of a shared team base with "extends" ke, and onboard a new teammate in one command. Reproducible by default, written in Rust

Sync skills, MCP servers, slash-commands, and instructions from Git into Claude Code, Cursor, Codex, Copilot, and 18 more agents. One YAML file, lock-pinned, in Rust.

One YAML file: skills, commands, MCPs, and instructions. Apply globally or per project; compose with `extends`. Pull from GitHub, GitLab, Bitbucket, or self-hosted repos, public or private. Secrets resolve from `kst_*` placeholders at sync time, so they're never committed or locked. Write once, ship everywhere. Claude Code, Cursor, Codex, Copilot: one sync keeps every agent current. All four asset kinds from one source, transformed into each agent's native format and auto-merged. Share tools and prompts like a repo link. Built in Rust. Content is hashed and diffed against a lock file, so only what changed is touched. Syncs finish in seconds. One static binary for macOS, Linux, and Windows.…from kasetto.dev

• 
  CortexJan 2026 · cortex-cli.vercel.app · ▲70

  Run multiple claude-code agents from YAML config

• 
  Kit For AIJul 2026 · kitforai.com · ▲83

  The memory layer for AI agents

• 
  Run AI Agents on your cloud infrastructure2025 · okteto.com · ▲12

  Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…

• 
  Kastor – Terraform-style specs for AI agentsJul 2026 · github.com · ▲33

  Terraform-style source-of-truth layer for AI agents: HCL specs, LangGraph codegen, and plan/apply/state for hosted agents. - weirdGuy/kastor

• 
  Multi-agent coding assistant with a sandboxed Rust execution engineApr 2026 · github.com · ▲10

  LangGraph orchestration scaffold (Python) + restricted tool runner (Rust) with batching and run traces. - christianmeurer/Lula

• 
  Kuverto2025 · kuverto.com · ▲19

  Create powerful AI agents in minutes, no coding needed.

• 
  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 19d ago · spira.ai

• 
  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 19d ago · rill.love

• 
  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 20d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 22d ago · stillwet.art

• 
  Beam.win▲378

  Run AI agents on one Mac and use its windows on another

  AI · 5d ago · beam.win

• 
  FastRouter.ai▲364

  Route requests to the right LLM for cost, latency & quality

  AI · 23d ago · fastrouter.ai

• 
  Brew ▲900

  Like Claude design for email marketing

  AI · May 2026 · brew.new

• 
  Kilo Code for VS Code▲896

  Parallel agents, diff reviewer, and multi-model comparisons

  Dev tools · May 2026 · kilo.ai

• 
  StoreClaw▲806

  Grow your store profits with agents that know how to sell

  AI · May 2026 · storeclaw.ai

• 
  PollyReach▲795

  Give your agent a real number and voice to make calls.

  AI · May 2026 · pollyreach.ai

• 
  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

• 
  Files.md – Open-source alternative to Obsidian▲730

  🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md

  Dev tools · May 2026 · github.com