Alpha software. Expect bugs. noHuman Team runs AI workers on your own machine with real file, browser and desktop access — start on work you can afford to have go wrong, and leave the approval queue on. What is rough right now
Insights on AI agents, automation, and building with noHuman Team.
Inspect requests and replies, compare recorded activity, browse team or individual Memory, and keep Profile beside your chat in noHuman Team 4.0 for macOS.
New to AI agents? Start here
How to connect noHuman Team to Telegram, send tasks from your phone, and view agent-to-agent coordination in an optional team group.
10 min read
A practical guide to using a local AI team for development, marketing, research, and operations without pretending agents replace accountable experts.
7 min read
A practical AI content workflow from brief to publication, with clear review gates, quality checks, and a way to measure your own cost and turnaround.
8 min read
Compare single-agent and multi-agent workflows. Learn when specialized roles and parallel work help, when they add overhead, and how to choose.
8 min read
A practical guide to multi-agent AI systems: architectures, communication patterns, and tools compared. Learn how AI agents coordinate and collaborate.
9 min read
How AI agents get real browser access: a full Chromium driven by Playwright, for research, form-filling, scraping and testing.
13 min read
A practical comparison of Claude Code, Codex, GitHub Copilot, Cursor, and Windsurf by workflow, permissions, testing, and review effort.
7 min read
A practical way to calculate AI agent cost across software, subscriptions or API usage, infrastructure, tools, review, and failed work.
8 min read
A practical framework for choosing an AI model by task risk, measured quality, latency, context needs, and current provider pricing.
7 min read
Why AI forgets between sessions and how to fix it. Compare vector DBs, file-based memory, RAG, and compaction approaches for persistent AI context.
10 min read
The journey from ChatGPT conversations to supervised AI agent teams. A practical framework for chatbots, tool use, agents, and coordinated teams.
9 min read
A practical comparison of open-source AI agent frameworks in 2026: architecture, deployment work, and which approach fits your use case.
9 min read
Docker can reduce the blast radius of an AI agent, but safety depends on mounts, privileges, network access, resource limits, and host configuration.
9 min read
A practical guide to local AI agents: native and Docker setups, provider connections, data flows, permissions, costs, and security tradeoffs.
8 min read
A plain-English guide to Docker for AI agents. What containers are, why they matter, how to install Docker, and how to manage resources.
8 min read