Xiaomi MiMo Code: Free Coding Agent That Remembers Your Project, Forget OpenCode

You are helping me turn one specific YouTube video into real, durable learning.

Source video:
- Title: Xiaomi MiMo Code: Free Coding Agent That Remembers Your Project, Forget OpenCode
- URL: https://www.youtube.com/watch?v=QVKErH52Z0A
- Topic: Codex + Claude Workflows
- My current learning frame: Install MIMO code via the free Mimo Auto channel, run a plan-mode exploration on a real multi-file project, then close the session and reopen it the next day to check whether the persistent memory actually recalls prior architecture decisions.
- Why this matters: New playlist item from AI Stack Engineer; queued for transcript-backed review, topic mapping, and a practical learning artifact.

Transcript anchors from this exact video:
- 0:00 / Evidence 1: "Xiaomi just put out a terminal coding agent called MIMO code. And the one thing worth paying attention to is the memory. Most coding agents you use today have a short attention span. You open a session, you..."
- 1:37 / Evidence 2: "tasks. Xiaomi ran their own benchmarks, pairing MIMO code with their MIMO v2.5 Pro model against Claude Code with Claude Sonnet 4.6. On the standard tests, they reported numbers slightly ahead. So 82% versus 79 on SWEBench verified,..."
- 3:52 / Evidence 3: "agent doesn't have to relearn your project from zero. That's the difference you feel. The context management sits right next to that. When your context gets close to the limit, instead of just falling over, MIMO code rebuilds..."
- 5:32 / Evidence 4: "command. And there's also an npm install if you'd rather go that route, which installs their CLI package globally. I'll grab the install line, paste it into the terminal, and let it finish. Once it's installed, the first..."
- 7:08 / Evidence 5: "can read, write, run commands. plan is read only. So it explores your code and designs a solution without touching anything which is the one I reach for first on anything real. And compose is the orchestration mode..."
- 8:48 / Evidence 6: "one, and see if the memory holds up the way they say. That's the only test that counts. All right, so that's it from the video, and I hope you enjoyed it. If you did, please like this..."

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: A routing matrix for when to use Codex, Claude, browser checks, or manual review.
5. Include:
   - a plain-English definition of the core idea
   - a diagram or structured model using this sequence: Inspect -> Plan -> Edit -> Verify -> Review -> Route
   - 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 "Xiaomi MiMo Code: Free Coding Agent That Remembers Your Project, Forget OpenCode", not a generic Codex + Claude Workflows 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.