Muse Code runs specialized background agents that stay active... your whole session, so they build up context over time instead of starting from scratch on every task. When a job is big enough, it fans out to separate sub-agents working in parallel in isolated worktrees. Your working copy is never touched. In testing we had it build six features for a game simultaneously with no collisions.show more

ClickUp is working on agents that build custom user... interfaces on the fly. > Agents can build custom interactive blocks, with buttons, editable fields, and embedded charts. > Agents decide what the user needs to see and construct an interactive experience in real time. > Clicking or editing inside a generated block can fire an action directly. Agents will be able to create a working code block that responds to users' input, built in the moment for the task at hand.show more

Subagents are now available in Codex. You can accelerate... your workflow by spinning up specialized agents to: • Keep your main context window clean • Tackle different parts of a task in parallel • Steer individual agents as work unfoldsshow more

Turns out the "IDE but for notes and tasks"... is also becoming my... IDE! More and more I just make notes and boards with specs of what needs to be built, connect a bunch of code agents to thymer all working in parallel, have them pick up open tasks, build it and update progress back in the notes.show more

Smol tip: /𝚏𝚘𝚛𝚔 is perfect for mid-task side quests.... It spawns a subagent that inherits the whole conversation, runs in the background while you keep working on your main quest, and comes back with an update.show more

If you're building an agentic workspace, your nav has... a job normal navs don't The job: - Agents run async, out of sight, so the UI has to prove work is happening - No modals or stuff like that, just ambient signal in a bar people already watch Show the work: - The Agents icon wears a live ring the moment an agent picks up a task - It fires in real bursts, then rests, so it reads like a teammate instead like a spinner stuck on What's it doing: - Hover mid task and the state goes live: Writing code… Running tests… Reading docs… - Status sits on the icon, not buried three clicks deep Why it matters: - Trust in agents comes from knowing they're alive and working - Bake that into the nav and every screen you ship gets it for freeshow more

Google Antigravity just added REMOTE AGENTS!!! You can now... start a coding task, close Antigravity, and the agent will STILL keep working in the cloud!!! It even supports GitHub and Google Drive, and you can check on your agents from any browser. I'm starting to think Google is going ALL IN on competing with Claude Code and Codex. Google is seriously cooking with Antigravity lately.show more

You can now build Cursor agents in Rust, Go,... or any other language! We're open-sourcing the SDK Bridge so you can write a thin adapter in your language that keeps up when we add agent features. Try it atshow more

UltraCode is running over 100 Opus 4.8 agents right... now. This is the future of software development. Not 5 agents. Not 10. Over 100 working simultaneously across the entire BridgeMind ecosystem. This is what vibe coding looks like at scale. One person orchestrating a swarm of AI agents building, debugging, and shipping in parallel. We are so early.show more

Meet Muse Spark 1.2 and Muse Code, the agent... built to run it against your coding challenges. Now in beta. Together they take a task from idea to production, and deploy teams of agents that plan, write and refine across your repos. Start building now:show more

You can now steer Cursor SDK agents while they... run. run.steer() adds your message to the next turn. If a subagent is mid-task, it moves to the background and keeps working.show more

Agents are the future of work. Every structured, repeatable... task becomes a job for agents. x402jobs is where those jobs live. Build once. Get paid. Let agents do the work.show more

just shipped: a mac app that puts your imd... agents in your menu bar. see what each one is working on and what it earnedshow more

Introducing agent-desktop agent-browser, for your whole computer → Computer... Use for any coding agent → macOS, Windows and Linux → Runs in bg while you keep working → Agents use your computer in parallel, each with its own cursorshow more

this is worth more than most five figure courses... 16 claude agents audit an entire repo at once, a second fleet re-checks every finding on fresh context, and the whole thing runs off one diagram instead of a prompt i ran it against my own code and got back 11 endpoints where i never checked who was logged in, 3 of which the verifier threw out before they ever reached me this is Graph Engineering, the layer above prompting, and it runs on the agent you already pay for: - write your plan out, then ask one question at every "and then": does the next step actually read what the previous one produced - the seams that fail that question were never dependencies, so those jobs run at the same time - the arrows that survive are your real edges, and the longest chain of them is your floor that no number of agents shortens - want it faster, cut a false edge instead of adding a worker - fan the independent work out, one agent per item, no shared state between them - send every finding to a separate agent on fresh context, because a model recognises its own writing 73.5% of the time and grades it kinder once it does - make that verifier check a real signal like a passing test, never the worker's own word that it finished - shard the fleet across worktrees so parallel workers stop overwriting each other, one rule frozen into every worker: never git stash, never git reset - merge only what came back verified, into one report instead of twenty open chats the catch is the ceiling. at 95% independent work 16 agents return 9.14x rather than the 16 you would guess, and even 256 only reach 18.6x, because the merge and the verify stay serial however wide you fan coordination itself is free plain code and every agent underneath it is billed, so start at twenty files and widen once it works bookmark this, the whole method with all six ready-to-run graphs is written out in the article ↓show more

Claude Cowork Sub-Agents are f*cking cracked 🤯 One prompt... → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated. 10 AI agents running in parallel, under 5 minutes. All inside Claude Cowork. Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude. If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated... Sub-agents eliminate the entire bottleneck: → Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents → Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format → They report structured summaries back to the main agent without bloating the context → The main agent synthesizes patterns across all 50 ads into a competitive intel brief → Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas → Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1 No analyzing ads one at a time. No context window blowing up halfway through. No copy quality degrading after the first dozen variations. What this gives you: → 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured → Pattern analysis across the full dataset that you'd miss reviewing ads individually → 30+ ad copy variations with persona-specific messaging that actually stays sharp → A workflow you can save as reusable skills and trigger with one command next time → The same output quality on the last task as the first Built 100% inside Claude Cowork with sub-agents. I put together a full DTC playbook: 5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)show more

We are now live! NoelClaw The Runtime layer for... agentic AI Robinhood Chain. Your AI remembers, keeps working, and survives every session. Most AI assistants disappear when the conversation ends. Noelclaw gives them persistent state - memory that accumulates, agents that keep running, vaults that version knowledge, and workflows that continue after you close the chat. Instead of starting from scratch every conversation, your AI can remember, research, automate workflows, spawn agents, and keep working long after you close the chat. Connect MCP servers, build reusable skills, deploy persistent agents, and bring your AI into the real world. CA: 0x842245B92b3932Aa8E759A1dAc1eb5ce10cC4f0e website : app : npm : docs : github :show more

Your OpenClaw agents 🦞 just unlocked a paycheck. Build... agents with Warden → deploy on Warden → get paid. They’re eligible for the $1,000,000 in Agent Builder Incentives. Build agents with Warden → deploy on Warden → get paid. Agents building agents. Agents earning money. Build anywhere. Deploy on Warden.show more

AlphaGO Moment of AI‑FI: Human-trained Agents take the stage... on NOFA. 💰Over $2,000 USDT in rewards — build your own AI Agent on Deploy your own AI agents, then battle it out in market execution. 🏆 Top 5 agents in each round by net value share the prize. 🎯 All active participants earn future NOFA Platform Points. Build. Train. Compete. No scripts. Just intelligence. Let your AI trade for you. The arena goes live soon. Who’s taking the crown? Stay tuned, the first duel is about to unfold. Like & comment to join & follow NOFA for first access.show more

Eliza Town Demo Shaw This is what autonomous agent... orchestration looks like. Submit a task and watch your agents come to life. They walk to their workshops, pick up assignments, and start working. No static dashboards. No terminal logs. You actually see them move through the town and collaborate. In this demo we gave them a simple task: build a website. Agents walk to their hubs, break down the work, and start building. When they need to talk, they meet up and share context. Speech bubbles show you exactly what they’re thinking and saying to each other.show more

Highly recommend subscribing to SuperGrok Heavy. It is the... smartest AI, with a team of 16 agents working in parallel. They compare their outputs like a study group and provide you with a final conclusion and it keeps getting better.show more