fix(plugins): share one cached handoff runtime and use version 0.3.2

docs/integrations/codex.mdx

@@ -5,7 +5,7 @@ description: "Add persistent memory to OpenAI Codex with automatic capture, auto
 
 Add persistent memory to [**OpenAI Codex**](https://openai.com/index/codex/) with the Mem0 plugin. Codex forgets everything between tasks. This plugin fixes that by connecting to Mem0's cloud memory layer via MCP, automatically capturing learnings at key lifecycle points, and retrieving relevant context on the first prompt of a session. Codex can use the search tool for recall later in the session.
 
-<Info>Current plugin version: `0.4.0`.</Info>
+<Info>Current plugin version: `0.3.2`.</Info>
 
 ## Prerequisites
 
@@ -176,10 +176,6 @@ The local `search_memories` tool accepts `query`, `top_k`, `category`, `scope` (
 
 Captured prompts and responses retain their full redacted text without a per-message character cutoff. Large extraction inputs are split across requests without dropping message text; recall output and tool-result previews have separate limits.
 
-## Session handoff
-
-The plugin can hand off supported native session context into a new Codex task through the shared importer. Handoff requires Python 3.11+ and a locally installed, signed-in Codex CLI. See [session handoff](/integrations/session-handoff) for commands, transferred content, and recovery.
-
 ## Troubleshooting
 
 - **"Connection failed"**: Verify `MEM0_API_KEY` is set: `echo $MEM0_API_KEY`