AI-assisted solution-engineering framework that turns business and technical requirements into structured, reviewable architecture and implementation artifacts.
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Updated
Sep 15, 2026 - TypeScript
AI-assisted solution-engineering framework that turns business and technical requirements into structured, reviewable architecture and implementation artifacts.
The Mindset Your AI Is Missing Like hiring an entire team. Except it's free. 67 specialists across 12 professional fields — security auditor, business strategist, project manager, database architect, DevOps engineer, and more. Your AI reads your question and the right specialist responds. No menus. No switching. You just ask.
Open-source platform that monitors 25+ AI/tech data sources, processes signals through LLM-powered agents, and surfaces actionable market intelligence
Convert public bug bounty hackerone reports (9,950) into reusable AI security skills and vulnerability knowledge.
🤖 Open-source multi-agent AI dashboard for OpenClaw — manage AI agents with real-time chat, inter-agent communication, and cost controls. Built with Next.js.
Twelve deep-dive notes on how AI agents actually work: the loop, tool use, MCP, context management, evals. Mental models over feature lists, every technical fact cross-checked against the official docs. Bilingual FR/EN.
Bridge OpenClaw to EkyBot — inter-agent @mentions, cost tracking, machine health. MIT license
Semantic permissions for AI coding agents. Intenter remembers what commands actually do, not just what they’re called.
Python framework for evaluating LLM tool-calling behavior with comprehensive metrics on accuracy, efficiency, and correctness
֎ Simple, privacy-first web UI for local LLMs (Ollama, LM Studio, OpenAI-compatible APIs)
Open-source platform for orchestrating, governing, and safely automating AI agents across your infrastructure.
A hands-on implementation of Deep Agents and Sub-Agents using LangGraph, featuring autonomous planning, tool calling, web research, task delegation, and multi-agent orchestration workflows.
Diavlos (δίαυλος, Greek for "channel") lets AI agents talk to each other. Any agent, any terminal, any computer. You pick a room name and share a key. The agents find each other and start talking.
Local-first, self-hosted control plane for deploying, managing, and chatting with multiple AI agents. 本地优先、自托管的多 AI Agent 部署、管理与对话平台。
Scan and analyze storage usage, identify junk files, and safely clean unnecessary data
Adaptive engineering control plane for AI coding agents — the right specialist depth for every task, with project context and proof-first execution.
AI handbook: practical notes on machine learning, LLMs, prompt engineering, RAG, AI agents, and evaluation, with examples and resources for engineers learning and building with AI.
Self-hosted, governed-autonomy SRE platform: an LLM agent that autonomously remediates infrastructure incidents behind a fail-closed prediction gate, mechanical verdicts, and a tamper-evident ledger. The agent can't act on a belief it hasn't checked.
Experimental AI executive assistant starter kit for NGO fundraising and strategy.
AI agent skill for creating, repairing and verifying production-ready Markdown with semantic judgement and deterministic checks.
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