Today’s session focused on recovering a complete local LLM session data loss incident using Claude Code memory, rather than rewriting code anew. Although the incident itself was straightforward, it highlighted the practical benefits of our accumulated memory system during the recovery process.
Observing the emergence of Telegram research skills
Initially, I received an update on the progress of the `/market-ledger-news-top3` skill running on Telegram, detailing a sequential search process starting with U.S. stock, bond, and real estate news followed by Korean market updates, culminating in deeper dives into specific topics like declining Seoul apartment transactions and factors behind falling prices in Gangnam. Despite numerous search queries appearing without visible results initially leading to a "nothing found" comment, the process was actually progressing normally through its research phases. Confirmation of accurate Korean results shortly thereafter ensured a seamless conclusion to this phase.
A local model session was completely lost.
The issue arose next. While working with the `qwen3-4b-hermes` model in a local terminal, a typo when attempting the `/new` command resulted in it being interpreted as `/clear`, effectively resetting the session context. Any progress details or guidelines from the previous session were entirely lost. Faced with this, a request was made to reassess the current situation: "I accidentally typed `/new` incorrectly, forgetting the context of our previous discussion; please help us understand where we stand now.
Restoring Project Context from Memory Files
For situations like this, I typically kept the project background documentation in memory files. This time, I reviewed three specific files: one containing the progress status of the Telegram Stock Analysis Bot project, another outlining cost-minimization principles for the blog automation project, and a third detailing the decision to postpone AdSense application until after posting 30 articles. Revisiting these three files alone provides a comprehensive understanding of the current project status and operational constraints.
| Memory file | Recovered content |
|---|---|
| blogger-automation-cost-minimization.md | Prefer local models (e.g., Ollama exaone3.5:7.8b) over paid APIs |
| blogger-automation-adsense-30-posts.md | Decision made to propose applying for AdSense once 30 EN blog posts are reached (currently 14) |
| blogger-automation-launchd-desktop-tcc.md | Reason for moving the project outside of ~/Desktop |
I compiled and resubmitted the consolidated findings. The rationale behind the project's location, considerations for cost principles when making proposals, and even the specific AdSense application threshold criteria were all clarified at once.
Creating a handover document for the upcoming session
Following context recovery, I received a request to create a document titled "hermes_handoff.md" summarizing the conversation details. The aim was to leave a readily accessible reference document even if local model sessions were lost again. After confirming the existence of the `~/blogger-automation` project folder, I drafted and saved a handover document outlining the incident timeline, project background, and next steps within this folder.
Trouble Shooting
| Symptoms | Cause | Solution method |
|---|---|---|
| The conversation context of the local LLM terminal session is completely reset. | Tried typing `/new` but accidentally executed `/clear` due to a typo. | Review and reconstruct context by re-accessing the memory file (project background, principles, decisions) related to "Claude Code". |
| Misinterprets as "not progressing" based solely on Telegram research skill logs | Search query logs are visible, but result outputs appear later, making intermediate progress unclear. | Wait a moment longer to confirm normal Korean output is displayed, concluding there are no issues. |
Reflections / Next Steps
The necessity for accumulating memory became apparent in these moments. Although preventing errors entirely remains out of reach, we confirmed that recovery costs could be significantly reduced through just a few searches. Establishing a routine for local models to read handover documents upon session initiation could eliminate the need for such recovery processes altogether. This initial experiment, documented in hermes_handoff.md, marks our first step in this direction.
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