From 56ac4c656feaa022999773b5c5105f8fdd3c7728 Mon Sep 17 00:00:00 2001
From: Sreeram Sreedhar <ssreedh9@asu.edu>
Date: Mon, 13 Apr 2026 23:07:44 -0700
Subject: [PATCH] updated readme

---
 packages/tools/README.md | 32 --------------------------------
 1 file changed, 32 deletions(-)

diff --git a/packages/tools/README.md b/packages/tools/README.md
index d3306a8f..0c622af3 100644
--- a/packages/tools/README.md
+++ b/packages/tools/README.md
@@ -409,42 +409,10 @@ const addResult = await tools.addMemory({
 
 ### Mastra Usage
 
-> **⚠️ Breaking Change in v2.0.0**: The Mastra integration API has been updated to use object-based parameters instead of positional parameters for better clarity. See the migration guide below.
-
 Add persistent memory to [Mastra](https://mastra.ai) AI agents. The integration provides processors that:
 - **Input Processor**: Fetches relevant memories and injects them into the system prompt before LLM calls
 - **Output Processor**: Optionally saves conversations to Supermemory after responses
 
-#### Migration from v1.x to v2.0.0
-
-**v1.x (old API with positional parameters):**
-```typescript
-// Old API - DEPRECATED
-withSupermemory(config, "user-123", "conv-456", { mode: "full" })
-new SupermemoryInputProcessor("user-123", "conv-456", { mode: "full" })
-createSupermemoryProcessors("user-123", "conv-456", { mode: "full" })
-```
-
-**v2.0.0 (new API with object parameters):**
-```typescript
-// New API - clearer with explicit key-value pairs
-withSupermemory(config, {
-  containerTag: "user-123",
-  customId: "conv-456",
-  mode: "full"
-})
-new SupermemoryInputProcessor({
-  containerTag: "user-123",
-  customId: "conv-456",
-  mode: "full"
-})
-createSupermemoryProcessors({
-  containerTag: "user-123",
-  customId: "conv-456",
-  mode: "full"
-})
-```
-
 #### Quick Start with `withSupermemory` Wrapper
 
 The simplest way to add memory to a Mastra agent - wrap your config before creating the Agent: