kelos
Kelos - The Kubernetes-native framework for orchestrating autonomous AI coding agents.
An AI agent is a program that uses a language model to decide what to do next, calls tools such as a browser, a code interpreter or an API, and repeats until the task is done. The projects here range from frameworks for building your own agents to finished agents that write code, browse the web or run business workflows.
Compare three things. Which models it can use: a single provider, or any OpenAI-compatible endpoint including local ones. How it limits what the agent may do: sandboxing, approval steps and permission lists. And whether it keeps memory between steps and sessions. An agent that runs code or shell commands should run in a sandbox, so check that before giving it access to your machine.
Kelos - The Kubernetes-native framework for orchestrating autonomous AI coding agents.
Think and build like a principal engineer. Leverage Kun's experience, knowledge, tools, workflows, and skills to help you get shit done.
Agent skill that mines your repo's history to draft a VISION.md, stress-tests it with hard hypotheticals, and iterates with you on an interactive review board.
Local Anthropic-compatible AI gateway with cheap-first routing, quality gates, safe model handoffs, and an embedded cost dashboard.
Agent multiplexer with spaces, panes, and plugins
Samples demonstrating the Microsoft Agent Framework in C#
Lightweight AI Agent Harness for agentic coding: let strong models explore while humans steer with minimal specs, checkpoints, approval, validation, and reverse sync.
11 Claude skills for SEO: page audits, linkbuilding, article writing, E-E-A-T audits, semantic gap analysis, link building. Methodology from Koray Tuğberk, Kyle Roof, and Lily Ray, plus a generation-time anti-AI-slop ruleset. Production-tested at InhouseSEO
Set of 📝 with 🔗 to help those building Voice AI agents 🎙️🤖
The visual communication layer between humans and AI agents. Capture, annotate, render diagrams, and organize with AI — powered by Electron and Ollama. macOS & Linux.
Native local Taskboard plugin for DeepSeek Harness. SQLite-backed projects, Agent claim/review, and a native Web UI — no iframe, no second chat runtime.
The CLI-native orchestrator for AI agent workflows. Run Claude Code, Codex, Gemini CLI & Kimi Code from declarative YAML. Because the terminal is where real work happens.
用来驯服AI Agent的效果绝佳的多角色 Prompt SKILLs!
🤖 LLM-powered agent for automated Google Dorking in bug hunting & pentesting.
Any Agent × Any Provider × Anywhere. Connect Cursor, Claude Code, OpenCode, or Codex to Slack, Telegram, Discord, Feishu, DingTalk, WeCom, WeChat — with any LLM provider.
VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.
Karpathy LLM based claude harness for PenetrationTesting / Bugbounty using obsidian
Benjamin-Plus: a measured token-efficiency skill for coding agents (−17.9% cost median, quality unchanged). Inject it, don't install it.
Agent skills for interacting with Railway
RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.
Apple's official Agent Skills exported from Xcode 27 — SwiftUI, UIKit modernization, Swift Testing, C bounds-safety, and security hardening for AI coding agents.
understory — memory that grows. Self-wiring, plain-markdown memory for AI agents (MCP + local models + a living graph).
Deep Research workflow on Dify: cascaded multi-source search → outline → cited long-form report. Credited in Awesome-Dify-Workflow.
Local-first CLI for agent skills, browser automation, knowledge bases, external CLIs, and terminal AI chat.