hardness1020/learn-agent-architecture
Learn AI agents from scratch.
Building AI agents and developer tools · agent architectures, memory systems, and workflow engines · writing tutorials that teach agents from scratch
Learn AI agents from scratch.
Learn DeepSeek Harness from scratch.
A workflow-driven AI agent framework that executes YAML-defined decision trees.
Build a production-grade agent memory system, stage by stage
Build resilient agents.
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
Open-source, secure environment with real-world tools for enterprise-grade agents.
The LLM Evaluation Framework
Incremental engine for long horizon agents 🌟 Star if you like it!
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
The all-in-one, open-source backend platform for agentic coding. InsForge gives your coding agent database, auth, storage, compute, hosting, and AI gateway to ship full-stack apps end-to-end.
Build Real-Time Knowledge Graphs for AI Agents
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
Turn real AI agent failures into trustworthy, validated evals.
Skills for Real Engineers. Straight from my .agents directory.
Simple TODO app driven by an agentic AI assistant
AI Agent 学习路线与资料库收集
An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
A collection of autonomous agents 🤖️ powered by LLM.
🛠️ Awesome tools & guides for harness engineering.