trellis-session-insight

To recall past AI assistant conversations across different sessions, use a local memory CLI to retrieve raw dialogue. This enables cross-session continuity by reading local JSONL logs to surface prior interactions and decisions without uploading data.

Yes, you can use local JSONL logs for AI memory without uploading data. The system reads local memory feedstock directly via a CLI, ensuring past dialogue retrieval and retrospective insight remain entirely private and offline.

The best way to retrieve past decisions made in prior work sessions is to guide the AI to call a local memory CLI. This fetches past dialogue from local logs, allowing you to quote, summarize, or internalize previous interactions for retrospective analysis.

You need cross-session memory for debugging recurring issues when you want to surface how a familiar problem was approached previously. Retrieving past dialogue helps identify prior solutions and maintain continuity without relying solely on current context.

Yes, cross-session memory retrieval supports multilingual prompts. The AI can process and retrieve past dialogue from local JSONL logs regardless of the language used in the original interaction or the current query.

Relying on local context limits you to the current session, whereas a memory CLI retrieves historical JSONL logs. The limitation is that without the CLI, the AI cannot access past decisions or brainstorming sessions for retrospective continuity.