Claude Code /goal: Run Long Tasks to Completion
Learn how Claude Code /goal keeps a session working across turns, how it differs from /loop and auto mode, and how Onevium 1.1.19 makes progress visible.
Read articleBlog
Practical guides for reliable AI agent workflows.
Learn how to run Claude Code across long tasks, browser automation, scheduled jobs, team channels, memory, and multi-agent workflows.
Ultracode: turn one prompt into a coordinated team of agents
Hard tasks are rarely one straight line of thought. Ultracode lets Claude Opus 4.8 decompose a job, run sub-agents in parallel, check their work against each other, and bring back one answer — all rendered as a single live workflow card you can watch and drill into.
Open articleMemory, Skill, Agent, and MCP: the layer that makes AI workflows compound
Memory saves project facts, Skill turns instructions into reusable workflows, Agent delegates focused work, and MCP connects external tools. Together they make Onevium better the longer your team uses it.
Open articleSchedule and Channel: turn one-off prompts into recurring team workflows
Schedule creates recurring jobs, reminders, and reports. Channel sends the results to DingTalk, Feishu, or Discord. Together they turn Onevium from a private assistant into a repeatable team workflow engine.
Open articleThe Browser tool: give your AI a real web surface, not just another prompt
Browser lets Onevium open, inspect, click, and automate real web pages. That turns the assistant from a code-only helper into a teammate that can test flows, inspect dashboards, compare competitors, and gather evidence.
Open articleThe Widget tool: turn AI answers into charts, mockups, diagrams, and mini apps
Widget is the tool you reach for when a text answer is not enough. Ask Onevium to build a chart, mockup, SVG diagram, draw.io-style flow, or small interactive app directly from the conversation.
Open articleThe @ tools menu: Onevium's command center for real AI work
The @ menu is where Onevium stops feeling like a chatbot and starts feeling like a workbench: Widget, Browser, Schedule, Channel, Skill, Memory, Agent, MCP, Plugins, and project files all one keystroke away.
Open articleDynamic Workflows in Claude Code, explained — and what they mean for Onevium users
Anthropic just shipped Dynamic Workflows in Claude Code: dozens of parallel subagents, adversarial verification, jobs that survive across sessions. Here is what changes for engineering teams, and how the same primitives compose inside Onevium's scheduled-task and memory layers.
Open articleClaude Opus 4.8 lands in Onevium on day one — sharper judgment, longer-running agents, same price
Anthropic shipped Claude Opus 4.8 on 2026-05-28 — the strongest agentic coding model on the market, with materially better SWE-Bench Pro, OSWorld-Verified, and GDPval-AA scores than Opus 4.7. Onevium 1.1.9 picks it up the same day. Switch model, run a long task, see the difference.
Open articleThe 'where did I leave off' problem your AI tools should solve for you
Every morning you stare at five chat sessions across three projects and try to remember which one had the unfinished migration. Daily Briefing is the page that does that for you — automatically, cross-project, every morning.
Open articleWhy your AI still forgets — and how Onevium's memory finally fixed it
Cursor has rules, Claude Code has CLAUDE.md, every tool claims to have memory. So why does your AI keep asking the same questions? Onevium 1.1.6 ships a three-layer memory system that actually shows up in every reply — and lets you see exactly what it remembered.
Open articleChannels redesigned, and a real browser that actually feels like one
v1.1.2 finishes two threads we have been pulling on for months: the multi-platform Channels bridge becomes a calm, inline-editable surface, and the in-app Browser graduates from a preview pane to a full browsing surface with a persistent profile.
Open articleA v0 alternative that gives your AI a real browser, not a sandbox
v0, Lovable, and Bolt preview a generated UI inside their own sandbox. Onevium gives your AI agent a real browser pinned to your real codebase — and that changes the loop.
Open articleWhy self-evaluating agents outperform prompt loops by 10 points
Anthropic's Managed Agents introduced the harness pattern — a self-evaluating orchestration layer that closes the reliability gap between demo agents and production agents.
Open articleStop doing ten tasks in one thread — delegate to subagents
Subagents split exploration, review, and implementation into parallel isolated contexts. Here is when delegation beats a single long session.
Open articleClaude Managed Agents: what it means for local agent workflows
Anthropic just launched Managed Agents — cloud-hosted, sandboxed agent infrastructure. Here is what that changes for teams already running agents locally.
Open articleWhy your AI coding agent forgets everything between sessions
Persistent memory is the missing layer in agentic IDEs. Here is how context engineering turns a stateless agent into one that actually knows your project.
Open articleThree trust levels for autonomous coding agents
Binary permission models break in practice. A tiered approach — default, auto, and full access — gives agents room to work without giving up control.
Open articleAutomate recurring tasks with scheduled runs
Set up cron-based AI tasks that run on their own — daily standups, weekly reports, production health checks — without manual prompting.
Open articleKick off coding tasks from team chat
Turn Feishu, DingTalk, or Discord threads into scoped AI tasks — without leaving the conversation.
Open articleControl your browser with natural language
Navigate pages, fill forms, extract data, and monitor dashboards — all by describing what you want in plain English.
Open articleReview pull requests from your desktop
Catch regressions, flag missing tests, and enforce team conventions — with an AI reviewer that knows your codebase.
Open articleOnboard to any codebase in minutes
Trace request flows, map module ownership, and find the right files fast — without reading every line yourself.
Open articleBuild and iterate on front-end designs
Turn mockups and visual references into working UI, then verify the result in a real browser — all from one conversation.
Open articleLocal AI workflows need a real operating surface
Why terminal-native agents become more useful when you add visibility, automation, and deployment surfaces around them.
Open articleDesigning browser-first agent experiences
A practical framing for products whose strongest value comes from acting across live web surfaces instead of only generating text.
Open articleShipping team bots without losing control
How isolated sessions, approval modes, and role-based bots make channel deployment practical instead of chaotic.
Open article