141 related articles

A deep dive into LibreOffice's open source documentation workflow — covering volunteer writing models, style standards, and how to lower barriers to contribution.

A complete guide to Dify, the low-code AI app platform: five app types, multi-model setup, Docker deployment, and enterprise data security. Build LLM-powered workflows and Agents at minimal cost.

71% of ChatGPT queries can be handled by local models — but "going local" isn't a one-step move. This guide breaks down the three tiers of local models, license traps, deployment methods, and cost logic to help you find the optimal routing strategy between local and cloud AI.

QuantaMind is a free, open-source local AI Agent reliability testing tool using pass^k scoring and deterministic evaluation, supporting Ollama, llama.cpp, vLLM, and more.

A comprehensive decision framework for production LLM deployment: model selection (open-source vs. API), GPU VRAM configuration, and inference engine comparison including vLLM and TensorRT-LLM.

Hombre is an open-source web GUI for self-hosted Honcho AI memory servers. Features workspace management, semantic search, real-time sync, and RBAC — built with FastAPI and native frontend, MIT licensed, Docker-ready.

Pylva is an open-source, self-hosted AI Agent billing engine with full usage tracking, flexible per-customer billing rules, and automated invoicing. A deep dive into its features and the economics of the Agent era.

TigrimOSR is an open-source multi-agent system written in Rust, supporting full agent loop definition via YAML config files with only 250MB memory usage. A deep dive into Loop Engineering, Rust advantages, and self-hosted Agentic AI.

An in-depth comparison of five AI evaluation tools—Arize, Braintrust, Confident AI, Langfuse, and LangSmith—across governance, framework lock-in, and evaluation vs. monitoring.

A comprehensive look at n8n, the open-source workflow automation platform: core features, 500+ node ecosystem, AI Agent and RAG integration, plus a fast learning path.

Many enterprises fail at AI Agents due to choosing the wrong tools and lacking methodology. This article outlines an eight-step Agent development method—from cognitive foundations, scenario selection, hand-writing ReAct, and structured output to Tool Use, RAG, evaluation sets, and production fallback.

DCTS is an open-source, self-hosted instant messaging platform led by an individual developer, integrating E2EE and decentralized architecture across desktop and mobile.

Want to build an AI Agent but don't know where to start? This guide covers the complete seven-step workflow—from requirements analysis, platform selection, prompt engineering, data storage, and UI building to testing and deployment.

Learn how to use AI Agents to link the entire research pipeline—from literature management, data analysis, and paper writing to scientific illustration and dissemination—building a reusable research automation workflow with NotebookLM, N8N, and Ollama.

An in-depth comparison of OpenClaw and Hermes Agent, covering skill management, memory mechanisms, security, and gateway configuration to help you find the right AI agent solution.

Deep dive into the three-layer architecture of AI persistent memory systems—storage, management, and retrieval—with an in-depth comparison of Mem0, Zep, and ContextNest to help developers choose the right memory solution for AI Agents.

OpenInspect's Multi-Repo Automations lets AI coding agents maintain up to 10 repositories on a schedule simultaneously — isolated sessions, independent PRs, and fault-tolerant execution for security sweeps, dependency upgrades, and framework migrations.

Developers on Hacker News push back against Gemini 2.5 Flash's deprecation. We explore why stable, low-cost AI models are critical for production and how to build defensive strategies against cloud model churn.

In-depth hands-on review of Zhipu AI's flagship GLM-5.2: a 1M-token context window and API pricing just one-fifth of GPT/Claude. Covers website building, Chrome extensions, 3D game cloning, and agentic workflows.

OpenAI releases GPT-5.6 (SOUL/TERRA/LUNA), with Ultra mode running four agents in parallel; Meta launches Muse Spark 1.1 with million-token context; ChatGPT desktop unifies Chat, Work, and Codex.