Claude Just Dropped Their OpenClaw Competitor
A 12-minute walkthrough of how Claude now controls your computer and lets you run tasks from your phone while away from your desk.
March 25thNine updates to the open source AI agent that lives on your computer -- from persistent goals to a self-cleaning skill library.
Hermes Agent now solves the three things that made every local AI agent impractical: it remembers your goals across sessions, multitasks without blocking, and lets you swap models mid-conversation so you stop paying premium prices for commodity tasks.
Hermes Agent's latest release ships nine features that address persistent agent drift, memory loss, and cost bloat. The two structural upgrades are slash goal (a pinned multi-turn objective backed by a judge model that watches progress) and full session recall (cross-session memory with zero setup). Parallel execution comes via slash background, raw-idea-to-subtask routing via an auto Kanban, and cost control via slash model which lets you drop to a cheaper model mid-thread without losing context. For coding work, routing tasks to Codex CLI means Anthropic tokens are untouched for line-by-line generation. The host's ranked picks: slash goal, the curator, slash model, and native Codex.
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Personal usage proof, stakes the 9-update promise, no developer knowledge required

June 3 live webinar pitch for AI agency offers

Pinned multi-turn objectives, judge model, Ralph loop, slash sub-goal

Vague goals break the judge model -- specificity is the lever

Full session recall, cross-session cache, tool call indexing, zero setup

Five concurrent background tasks, task IDs, foreground chat stays live

Triage to Specifier to subtasks to parallel sub-agents, orchestration=auto, demo with filming day brief

Previously Claude-only; now GPT-5, Gemini, Grok Vision -- ClickUp navigation demo, remote task marking from phone

Auto-running 7-day skill pruning agent, ranked skill list, zero config

Text-to-video via Grok or Fal.ai natively in Telegram, robot bartender demo

Mid-conversation model swap, preserve full context, auto-selection by task complexity

Route coding to ChatGPT/Codex CLI -- Opus plans, Codex builds, Anthropic API untouched, landing page demo

Host ranks slash goal, curator, slash model, native Codex as the four most slept-on; community plug
The core failure mode of every local AI agent is drift -- losing the goal, losing the context, blocking you while it works -- and these nine updates address all three at once.
“The recall, the cache, the tool call history, all of it -- it is going to be on by default. It just works.”
“From my phone, I was able to just text Hermes and told it to mark it as done. I didn't have to pull up my laptop or anything like that.”
“Most of the stuff that you are doing, it's probably just clean up, or formatting, or quick look ups, or like simple summaries. Tasks that a much cheaper model could handle just as well.”
“Opus, it should be your strategist. Codex, it should be your builder. And you don't even have to pick which one does what part.”
“The goal that you write is what makes or actually breaks it. Something as simple as build me an application -- that is far too fundamental, far too broad.”
Thirty days, nine updates, and half of what this video demonstrates was not technically possible a month ago. The host opens with personal proof -- a six-week-old sponsor email retrieved in under a second, an inbox ranked in the background while filming -- before committing to show the updates that actually move the needle rather than flashy demos.
An agent lock-on pattern where the stated goal persists pinned across every conversation turn until explicitly cleared, with a judge model checking progress each turn.
A two-specialist stack where the high-reasoning model handles architecture and planning, and the coding agent handles line-by-line execution on the user's ChatGPT subscription.
“It's the first link in the description. It's completely free. Come drop a comment when you are in.”
Soft community plug at end. Secondary CTA for a live webinar placed mid-video at minute 1:34 with higher pressure framing (not recorded, miss it if absent).
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22:49A 12-minute walkthrough of how Claude now controls your computer and lets you run tasks from your phone while away from your desk.
March 25thA 104-minute operational blueprint for becoming AI-first: audit your business, fix your data, build a four-layer stack, and deploy two working Claude Code systems end-to-end.
May 26thA documented, officially supported two-line swap that routes Claude Code through DeepSeek v4 — and cuts the bill by 100x for everyday coding work.
May 21stA 15-minute tutorial that converts Hermes Agent from a chatbot into a structured daily employee — six concrete workflows, one compounding system.
May 22ndJack Roberts complete Hermes Agent mastery guide from memory systems through deployment in under 25 minutes.
May 24thHow one MacBook running Claude Opus 4.6 replaced a CRM, a security firm, a content team, and a personal chef -- with the exact prompts to copy every piece.
February 17th