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ai-agents-and-tools

Here are 27 public repositories matching this topic...

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.

  • Updated Jun 9, 2026

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.

  • Updated Jul 31, 2026

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.

  • Updated Jun 21, 2026
  • Jupyter Notebook

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.

  • Updated Aug 23, 2026
  • Go

Agent Skills that integrate with the Qualimetry to automatically enforce Enterprise Coding Policies, General Coding Principles, Secure Coding Principles and Language Coding Standards for all major languages. Agent Skills also pull code review policy, principles and language issues into your favourite Agentic Engineering coding tools.

  • Updated Jun 17, 2026

Open Receipt gives AI agents and automated commerce portable, cryptographically verifiable proof of what was authorized, delivered, charged, settled, and refunded across platforms.

  • Updated Aug 11, 2026
  • TypeScript

A comprehensive, hands-on tutorial repository for learning and mastering LangChain - the powerful framework for building applications with Large Language Models (LLMs). This codebase provides a structured learning path with practical examples covering everything from basic chat models to advanced AI agents, organized in a progressive curriculum.

  • Updated Feb 11, 2026
  • Python

AI software engineering platform that turns natural-language requests into working, tested, documented codebases. An 8-agent LangGraph pipeline (analysis, planning, architecture, development, testing, debugging, review, documentation) with MCP tool integration and a real-time Next.js workspace.

  • Updated Aug 2, 2026
  • Python

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