Hermes Agent Just Became a Project Manager (Kanban Update)
Use project-state views like Kanban to make long-running agent work legible and recoverable.
Nemanja Mirkovic10 minTranscript found
Quick learning frame
Read this before watching.
Agent ops treats agents like services: observable state, queues, permissions, logs, recovery, and post-run review.
Agent work needs visible state, not just chat transcripts.
Skill you build: Setting up and driving a multi-agent Kanban workflow in Hermes so an orchestrator dispatches dependent subtasks (research before writing/design) to role-specific agent profiles via natural-language instructions.
Watch for the shift from claim to mechanism. The learning value is the point where the transcript reveals a repeatable action, tool boundary, context move, review habit, or artifact.
Concept diagram
Where this video fits.
01Gateway
02Session
03Queue
04Tools
05Logs
06Recovery
Deep lesson
Turn this video into working knowledge.
1,431 cleaned transcript words reviewed across 454 timed caption segments.
Thesis
Hermes Agent Just Became a Project Manager (Kanban Update) teaches a practical hermes + agent ops move: Use project-state views like Kanban to make long-running agent work legible and recoverable.
The goal is not to remember the video. The goal is to extract the operating principle, tie it to timestamped evidence, test how far the claim transfers, and make something reusable.
0:00
Why Kanban matters
“I was about to make a video how you can use Claude code or Codex to orchestrate complex workflows that depend on each other. For example, you could have one parent task and five subtasks that depend on...”
Hermes' new Kanban board turns agents into a Trello-style team where a parent task fans out into dependent or parallel subtasks, mirroring the orchestration the creator built manually for Claude/Codex. Sketch one content task you do and map which steps must run in sequence versus which could run in parallel before touching the tool.
3:48
Install and trigger
“if this appears up here. What you will notice when you use Hermes is that it's usually slower than Claude code or Codex. That's because it has a lot more skills. It has a different routing how it...”
Setup requires running /update to pull the latest skills, then the Hermes Kanban init and dashboard generation; afterward a plain voice or text instruction with 'use the Kanban board' makes the orchestrator read profiles and assign role agents. Run /update, generate the dashboard, then give a multi-step request that explicitly says to use the Kanban board and name the agents.
6:40
Dependency execution
“weird. So, you can see here, I can't really see things clearly. You can use this to comment. So, for example, if you don't like the output, you can tell it to change it, change certain things. So,...”
The orchestrator creates parent and child cards with per-agent descriptions and worker logs, and runs research first because the post and image depend on it; you can request parallelism or set it in agents.md/hermes.md. Open a card to read its description and worker log, and add a line to your agents.md telling it to run independent steps in parallel.
01
Gateway
Start with this video's job: Use project-state views like Kanban to make long-running agent work legible and recoverable. Treat "Gateway" as the outcome you are trying to make visible, not a topic label. Anchor it to 0:00, where the video says: “I was about to make a video how you can use Claude code or Codex to orchestrate complex workflows that depend on each other. For example, you could have one parent task and five subtasks that depend on...”
02
Session
Use "Session" to locate the part of the hermes + agent ops workflow the video is demonstrating. Ask what changes in your real setup if this claim is true. Anchor it to 3:48, where the video says: “if this appears up here. What you will notice when you use Hermes is that it's usually slower than Claude code or Codex. That's because it has a lot more skills. It has a different routing how it...”
03
Queue
Turn "Queue" into the reusable artifact for this lesson: An ops checklist for running and recovering local agent work. This is where watching becomes something you can inspect and reuse.
04
Tools
Use "Tools" as the application surface. Decide whether the idea touches a browser flow, a local file, a model choice, a source document, a UI, or a review step.
05
Logs
Use "Logs" to prove the lesson. The evidence should connect back to the video title, transcript anchors, and a concrete output, not a generic best-practice claim.
06
Recovery
Use "Recovery" to carry the idea forward: save the prompt, checklist, diagram, or operating rule that would make the next agent run better.
Example
Source-backed work packet
Convert the video into a scoped task that includes the transcript claim, target workflow, acceptance criteria, and proof. The output should be an ops checklist for running and recovering local agent work..
Example
Claim vs. demo brief
Separate what the speaker claims, what the demo actually proves, and what still needs outside verification before you adopt the workflow.
Example
Teach-back module
Transform the lesson into a definition, a mechanism diagram, one misconception, one practice exercise, and a check-for-understanding question.
Do not learn it wrong
Treating the title as the lesson without checking what the transcript actually says.
Letting the prompt drift into generic advice that could apply to any video in the playlist.
Copying the tool setup without identifying the operating principle that transfers to your own stack.
Skipping the artifact, which means the learning never becomes operational or inspectable.
Do not count this as learned until these are true.
01
State the transcript-backed claim in your own words: Use project-state views like Kanban to make long-running agent work legible and recoverable.
02
Explain the practical stakes without hype: Agent work needs visible state, not just chat transcripts.
03
Map the idea onto the Gateway -> Session -> Queue -> Tools -> Logs -> Recovery sequence and name the weakest link.
04
Produce the artifact and include the evidence that proves it: An ops checklist for running and recovering local agent work.
Put it into practice
Give this grounded prompt to Codex or Claude after watching.
You are helping me turn one specific YouTube video into real, durable learning.
Source video:
- Title: Hermes Agent Just Became a Project Manager (Kanban Update)
- URL: https://www.youtube.com/watch?v=EFvamS0vfJg
- Topic: Hermes + Agent Ops
- My current learning frame: Recreate the demo by giving Hermes a single voice instruction that turns a blog or X post into a research brief plus an X image, requiring it to use the Kanban board and assign a writer and designer, then inspect the cards to confirm research ran before the dependent outputs.
- Why this matters: Agent work needs visible state, not just chat transcripts.
Transcript anchors from this exact video:
- 0:00 / Evidence 1: "I was about to make a video how you can use Claude code or Codex to orchestrate complex workflows that depend on each other. For example, you could have one parent task and five subtasks that depend on..."
- 1:44 / Evidence 2: "and it tells you to do the Hermes Kanban in it. I just did that and then after that, Hermes dashboard and you will get a dashboard like this. Granted, it's not the best looking thing in the..."
- 3:48 / Evidence 3: "if this appears up here. What you will notice when you use Hermes is that it's usually slower than Claude code or Codex. That's because it has a lot more skills. It has a different routing how it..."
- 6:40 / Evidence 4: "weird. So, you can see here, I can't really see things clearly. You can use this to comment. So, for example, if you don't like the output, you can tell it to change it, change certain things. So,..."
- 8:59 / Evidence 5: "in the end, I would say this did a decent job minus my little auth error, but in any case, in my next video, I'll show you how you can use a similar system with GitHub issues and..."
Your task:
1. Use the transcript anchors above as the primary source packet. If you add outside context, label it clearly as outside context and keep it secondary.
2. Create a source-check table with columns: timestamp, claim, what the demo proves, confidence, and what still needs verification.
3. Extract the actual teachable claims from the video. Do not invent claims that are not supported by the title, lesson frame, or transcript anchors.
4. Build a reusable learning artifact: An ops checklist for running and recovering local agent work.
5. Include:
- a plain-English definition of the core idea
- a diagram or structured model using this sequence: Gateway -> Session -> Queue -> Tools -> Logs -> Recovery
- 3 concrete examples that apply the video idea to real agentic work
- 2 failure modes the video helps prevent
- a checklist I can use the next time I run Codex or Claude
- one practical exercise with a clear done signal
6. Add a "learning transfer" section: what changes in my workflow tomorrow if I actually learned this?
7. Add a "source check" section that cites which transcript anchor supports each major takeaway.
Quality bar:
- Make this specific to "Hermes Agent Just Became a Project Manager (Kanban Update)", not a generic Hermes + Agent Ops essay.
- Prefer operational examples, failure modes, and reusable artifacts over broad definitions.
- Call out uncertainty instead of smoothing over weak evidence.
- If evidence is weak, say what transcript segment or timestamp needs review instead of guessing.
- Finish with a concise artifact I could paste into my learning app.
Misconceptions
What to stop believing.
A chat UI is an agent operating system.
A chat UI is only the surface. Ops requires state, logs, permissions, queues, and recovery.
Swarms are automatically more powerful.
Parallel agents help only when work is separable and verifiable.
Practice studio
Learning only counts when you make something.
01
Transcript evidence map
Separate what the video actually says from what you already believe about the topic.
3 source-backed takeaways with timestamps, confidence, and a transfer note.02
One useful artifact
Apply the video to a real workflow and produce an ops checklist for running and recovering local agent work..
A reusable artifact with a done signal and one verification step.03
Teach-back card
Explain the lesson to someone who has not watched the video yet.
A 90-second explanation, one diagram, one example, and one misconception to avoid.
Recall check
Answer first, then reveal — without rewatching.
What is the exact setup sequence to enable the Hermes Kanban board, and what command must you run first and why?
In the demo, why does the orchestrator do the research card before the post and image cards, and how could you have made some of those steps run faster?
Why does the creator say Hermes profiles are powerful for cost, and what tradeoff did he note about Hermes' speed versus Claude Code/Codex?
Source shelf
Use the video as a doorway, then verify with primary sources.