Does this create a new entry every time I save?

No, it performs an 'upsert' operation, meaning it updates a single evolving memory record in HydraDB for that specific session rather than creating duplicates.

What exactly is stored in HydraDB during a save?

The skill saves the current buffered session history, including all dialogue turns and context discussed up to that point in the conversation.

Can I specify which session to save?

Yes, you can provide an optional session-id as an argument. If omitted, the skill defaults to the most recently active session tracked by the plugin.

How do I verify that my session was saved correctly?

Upon completion, the skill returns a confirmation message specifying exactly how many turns were saved or updated in your HydraDB instance.

Session Memory Saver for HydraDB

Name: Session Memory Saver for HydraDB
Author: usecortex

byusecortex

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Gestión de Bases de Datos

Synchronizes and preserves full Claude Code conversation history as persistent session-level memory within HydraDB.

The save-session skill bridges the gap between ephemeral AI conversations and long-term project memory by persisting entire Claude Code sessions into HydraDB. It allows developers to capture the full context of a coding session—including logic, decisions, and progress—into a single evolving memory record that can be recalled or synced later. This is particularly useful for complex, multi-turn development tasks where maintaining continuity across different environments or project phases is essential, ensuring that no valuable context is lost when a local session ends.

Características Principales

01Intelligent upserting to maintain a single evolving session record

020 GitHub stars

03Deep integration with the HydraDB workspace sync ecosystem

04One-click persistence of full conversation buffers to HydraDB

05Real-time confirmation of saved conversation turns

06Support for custom session identifiers or automated recent tracking

Casos de Uso

01Preserving complex architectural reasoning for future retrieval

02Syncing development context and progress across different machines

03Archiving session history to build a searchable knowledge base of coding decisions

Características Principales

01Intelligent upserting to maintain a single evolving session record

020 GitHub stars

03Deep integration with the HydraDB workspace sync ecosystem

04One-click persistence of full conversation buffers to HydraDB

05Real-time confirmation of saved conversation turns

06Support for custom session identifiers or automated recent tracking

Casos de Uso

01Preserving complex architectural reasoning for future retrieval

02Syncing development context and progress across different machines

03Archiving session history to build a searchable knowledge base of coding decisions