diff --git a/README.md b/README.md
index dd9ce311..4397eb61 100644
--- a/README.md
+++ b/README.md
@@ -39,6 +39,21 @@
 
 
 Swarms is an enterprise grade and production ready multi-agent collaboration framework that enables you to orchestrate many agents to work collaboratively at scale to automate real-world activities.
+## ✨ Feature Comparison
+
+| Category | Features | Benefits |
+|----------|----------|-----------|
+| 🏢 Enterprise Architecture | • Production-Ready Infrastructure<br>• High Reliability Systems<br>• Modular Design<br>• Comprehensive Logging | • Reduced downtime<br>• Easier maintenance<br>• Better debugging<br>• Enhanced monitoring |
+| 🤖 Agent Orchestration | • Hierarchical Swarms<br>• Parallel Processing<br>• Sequential Workflows<br>• Graph-based Workflows<br>• Dynamic Agent Rearrangement | • Complex task handling<br>• Improved performance<br>• Flexible workflows<br>• Optimized execution |
+| 🔄 Integration Capabilities | • Multi-Model Support<br>• Custom Agent Creation<br>• Extensive Tool Library<br>• Multiple Memory Systems | • Provider flexibility<br>• Custom solutions<br>• Extended functionality<br>• Enhanced memory management |
+| 📈 Scalability | • Concurrent Processing<br>• Resource Management<br>• Load Balancing<br>• Horizontal Scaling | • Higher throughput<br>• Efficient resource use<br>• Better performance<br>• Easy scaling |
+| 🛠️ Developer Tools | • Simple API<br>• Extensive Documentation<br>• Active Community<br>• CLI Tools | • Faster development<br>• Easy learning curve<br>• Community support<br>• Quick deployment |
+| 🔐 Security Features | • Error Handling<br>• Rate Limiting<br>• Monitoring Integration<br>• Audit Logging | • Improved reliability<br>• API protection<br>• Better monitoring<br>• Enhanced tracking |
+| 📊 Advanced Features | • SpreadsheetSwarm<br>• Group Chat<br>• Agent Registry<br>• Mixture of Agents | • Mass agent management<br>• Collaborative AI<br>• Centralized control<br>• Complex solutions |
+| 🔌 Provider Support | • OpenAI<br>• Anthropic<br>• ChromaDB<br>• Custom Providers | • Provider flexibility<br>• Storage options<br>• Custom integration<br>• Vendor independence |
+| 💪 Production Features | • Automatic Retries<br>• Async Support<br>• Environment Management<br>• Type Safety | • Better reliability<br>• Improved performance<br>• Easy configuration<br>• Safer code |
+| 🎯 Use Case Support | • Task-Specific Agents<br>• Custom Workflows<br>• Industry Solutions<br>• Extensible Framework | • Quick deployment<br>• Flexible solutions<br>• Industry readiness<br>• Easy customization |
+
 
 ----
 
diff --git a/swarms/tools/e2b_tool.py b/swarms/tools/e2b_tool.py
deleted file mode 100644
index 5f8ef4d9..00000000
--- a/swarms/tools/e2b_tool.py
+++ /dev/null
@@ -1,91 +0,0 @@
-import subprocess
-import sys
-from loguru import logger
-from typing import Tuple, Union, List
-from e2b_code_interpreter import CodeInterpreter
-
-# load_dotenv()
-
-
-# Helper function to lazily install the package if not found
-def lazy_install(package: str) -> None:
-    try:
-        __import__(package)
-    except ImportError:
-        logger.warning(f"{package} not found. Installing now...")
-        subprocess.check_call(
-            [sys.executable, "-m", "pip", "install", package]
-        )
-
-
-# Ensure e2b_code_interpreter is installed lazily
-lazy_install("e2b_code_interpreter")
-
-
-def code_interpret(
-    code_interpreter: CodeInterpreter, code: str
-) -> Union[Tuple[List[str], List[str]], None]:
-    """
-    Runs AI-generated code using the provided CodeInterpreter and logs the process.
-
-    Args:
-        code_interpreter (CodeInterpreter): An instance of the CodeInterpreter class.
-        code (str): The code string to be executed.
-
-    Returns:
-        Union[Tuple[List[str], List[str]], None]: A tuple of (results, logs) if successful,
-        or None if an error occurred.
-
-    Raises:
-        ValueError: If the code or code_interpreter is invalid.
-    """
-    if not isinstance(code_interpreter, CodeInterpreter):
-        logger.error("Invalid CodeInterpreter instance provided.")
-        raise ValueError(
-            "code_interpreter must be an instance of CodeInterpreter."
-        )
-    if not isinstance(code, str) or not code.strip():
-        logger.error("Invalid code provided.")
-        raise ValueError("code must be a non-empty string.")
-
-    logger.info(
-        f"\n{'='*50}\n> Running the following AI-generated code:\n{code}\n{'='*50}"
-    )
-
-    try:
-        exec_result = code_interpreter.notebook.exec_cell(
-            code,
-            # on_stderr=lambda stderr: logger.error(f"[Code Interpreter stderr] {stderr}"),
-            # on_stdout=lambda stdout: logger.info(f"[Code Interpreter stdout] {stdout}")
-        )
-
-        if exec_result.error:
-            logger.error(
-                f"[Code Interpreter error] {exec_result.error}"
-            )
-            return None
-        else:
-            logger.success("Code executed successfully.")
-            # return exec_result.results, exec_result.logs
-            # return exec_result.results
-            prompt = f"{exec_result.results}: {exec_result.logs}"
-            return prompt
-
-    except Exception:
-        logger.exception(
-            "An error occurred during code interpretation."
-        )
-        return None
-
-
-# # from e2b_code_interpreter import CodeInterpreter
-
-# interpreter = CodeInterpreter()
-# code = "print('Hello, World!')"
-
-# result = code_interpret(interpreter, code)
-
-# if result:
-#     results = result
-#     print("Execution Results:", results)
-#     # print("Execution Logs:", logs)