---
name: Save Thread
slug: save-thread
category: Automation
description: Save Thread preserves the old name while falling back to a resumable handoff in portable Agent Plugins environments. Use it when a runtime cannot reliably import the full session transcript and you need a checkpoint instead.
github: "https://github.com/nowledge-co/community/tree/main/nowledge-mem-agent-plugin/skills/save-thread"
language: Python
stars: 166
forks: 35
install: "npx degit https://github.com/nowledge-co/community/tree/main/nowledge-mem-agent-plugin/skills/save-thread ~/.claude/skills/save-thread"
installs_to: ~/.claude/skills/save-thread
source_path: nowledge-mem-agent-plugin/skills/save-thread/SKILL.md
collection_size: 25
category_size: 2226
collection_url: "https://dirskills.com/collections/nowledge-co/community"
added: 2026-09-08T05:34:49.345Z
last_synced: 2026-09-08T05:34:49.345Z
canonical_url: "https://dirskills.com/skills/save-thread"
---

# Save Thread

Save Thread preserves the old name while falling back to a resumable handoff in portable Agent Plugins environments. Use it when a runtime cannot reliably import the full session transcript and you need a checkpoint instead.

**Install:**

```bash
npx degit https://github.com/nowledge-co/community/tree/main/nowledge-mem-agent-plugin/skills/save-thread ~/.claude/skills/save-thread
```

## README

# Save Thread (Deprecated Compatibility)

> Preserve the old skill name without pretending a generic skill runtime can always import the real session transcript.

## Status

This skill name is **deprecated** and kept only for compatibility.

Use `save-handoff` for portable Agent Plugins or other generic skill environments.

## Why This Cannot Promise Real Thread Save

A shared skills package works across many agent runtimes. In many of them, a skill can influence prompting but cannot read the host agent's real session transcript through a stable programmatic API.

That means this package must not promise a lossless thread import when the runtime may not expose:

- readable session files
- a transcript/history API
- a native importer surface wired for that specific agent

If we claimed real thread save here, users would believe later retrieval reflects the actual full session when it may only contain a summary.

## What To Do Instead

In portable Agent Plugins environments, treat `save-thread` as an alias for `save-handoff`:

- save a concise resumable handoff with `nmem t create`
- state clearly that this is a handoff summary, not a transcript-backed import
- never present the result as the full original session

## When Real Thread Save Is Feasible

Use a dedicated native connector when the runtime has a real transcript importer.

Examples include Nowledge connectors such as:

- Gemini CLI
- Claude Code

In those environments, `nmem t save --from <runtime>` can read local session files on the client machine and upload normalized thread messages to Mem.

## When To Use Which Save Surface

Use **save-handoff** when:

- you are in a portable Agent Plugins environment without host transcript access
- you want a restart point, checkpoint, or concise continuation summary
- the runtime does not have a proven native thread importer

Use a native **save-thread** only when:

- the agent has a dedicated Nowledge connector for that runtime
- real transcript import is actually implemented for that runtime
- you want the actual session captured for later search and inspection

## Usage In Portable Plugin Environments

Create a structured handoff instead of pretending to save the real thread:

```bash
nmem --json t create   -t "Session Handoff - <topic>"   -c "Goal: ... Decisions: ... Files: ... Risks: ... Next: ..."   -s generic-agent
```

## Response Format

After successful save in a portable Agent Plugins environment:

```
✓ Handoff saved
Title: {title}
Summary: {content}
Thread ID: {thread_id}
```

Always explain that this compatibility skill creates a resumable handoff, not a real transcript import.

## Native Connector

These skills work in any agent via CLI. For auto-recall, auto-capture, and graph tools, check if your agent has a native Nowledge Mem connector — run the `check-integration` skill or see https://mem.nowledge.co/docs/integrations