docs: Updated the sisyphus system docs to have a pro-tip of configuring an IDE MCP server to improve performance
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@@ -2,7 +2,7 @@
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An AI agent that assists you with your coding tasks.
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This agent is designed to be delegated to by the **[Sisyphus](../sisyphus/README.md)** agent to implement code specifications. Sisyphus
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This agent is designed to be delegated to by the **[Sisyphus](../sisyphus/README.md)** agent to implement code specifications. Sisyphus
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acts as the coordinator/architect, while Coder handles the implementation details.
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## Features
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@@ -13,4 +13,28 @@ acts as the coordinator/architect, while Coder handles the implementation detail
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- 🧐 Advanced code analysis and improvement suggestions
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- 📊 Precise diff-based file editing for controlled code modifications
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It can also be used as a standalone tool for direct coding assistance.
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It can also be used as a standalone tool for direct coding assistance.
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## Pro-Tip: Use an IDE MCP Server for Improved Performance
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Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
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an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
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server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
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them), and modify the agent definition to look like this:
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```yaml
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# ...
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mcp_servers:
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- jetbrains # The name of your configured IDE MCP server
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global_tools:
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# Keep useful read-only tools for reading files in other non-project directories
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- fs_read.sh
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- fs_grep.sh
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- fs_glob.sh
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# - fs_write.sh
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# - fs_patch.sh
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- execute_command.sh
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# ...
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```
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@@ -2,7 +2,7 @@
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An AI agent specialized in exploring codebases, finding patterns, and understanding project structures.
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This agent is designed to be delegated to by the **[Sisyphus](../sisyphus/README.md)** agent to gather information and context. Sisyphus
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This agent is designed to be delegated to by the **[Sisyphus](../sisyphus/README.md)** agent to gather information and context. Sisyphus
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acts as the coordinator/architect, while Explore handles the research and discovery phase.
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It can also be used as a standalone tool for understanding codebases and finding specific information.
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@@ -13,3 +13,25 @@ It can also be used as a standalone tool for understanding codebases and finding
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- 📂 File system navigation and content analysis
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- 🧠 Context gathering for complex tasks
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- 🛡️ Read-only operations for safe investigation
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## Pro-Tip: Use an IDE MCP Server for Improved Performance
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Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
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an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
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server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
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them), and modify the agent definition to look like this:
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```yaml
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# ...
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mcp_servers:
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- jetbrains # The name of your configured IDE MCP server
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global_tools:
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- fs_read.sh
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- fs_grep.sh
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- fs_glob.sh
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- fs_ls.sh
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- web_search_loki.sh
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# ...
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```
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@@ -2,7 +2,7 @@
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An AI agent specialized in high-level architecture, complex debugging, and design decisions.
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This agent is designed to be delegated to by the **[Sisyphus](../sisyphus/README.md)** agent when deep reasoning, architectural advice,
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This agent is designed to be delegated to by the **[Sisyphus](../sisyphus/README.md)** agent when deep reasoning, architectural advice,
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or complex problem-solving is required. Sisyphus acts as the coordinator, while Oracle provides the expert analysis and
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recommendations.
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@@ -15,3 +15,25 @@ It can also be used as a standalone tool for design reviews and solving difficul
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- ⚖️ Tradeoff analysis and technology selection
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- 📝 Code review and best practices advice
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- 🧠 Deep reasoning for ambiguous problems
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## Pro-Tip: Use an IDE MCP Server for Improved Performance
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Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
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an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
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server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
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them), and modify the agent definition to look like this:
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```yaml
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# ...
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mcp_servers:
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- jetbrains # The name of your configured IDE MCP server
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global_tools:
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- fs_read.sh
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- fs_grep.sh
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- fs_glob.sh
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- fs_ls.sh
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- web_search_loki.sh
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# ...
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```
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@@ -1,6 +1,6 @@
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# Sisyphus
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The main coordinator agent for the Loki coding ecosystem, providing a powerful CLI interface for code generation and
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The main coordinator agent for the Loki coding ecosystem, providing a powerful CLI interface for code generation and
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project management similar to OpenCode, ClaudeCode, Codex, or Gemini CLI.
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_Inspired by the Sisyphus and Oracle agents of OpenCode._
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@@ -16,3 +16,26 @@ Sisyphus acts as the primary entry point, capable of handling complex tasks by c
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- 💻 **CLI Coding**: Provides a natural language interface for writing and editing code.
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- 🔄 **Task Management**: Tracks progress and context across complex operations.
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- 🛠️ **Tool Integration**: Seamlessly uses system tools for building, testing, and file manipulation.
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## Pro-Tip: Use an IDE MCP Server for Improved Performance
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Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
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an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
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server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
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them), and modify the agent definition to look like this:
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```yaml
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# ...
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mcp_servers:
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- jetbrains
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global_tools:
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- fs_read.sh
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- fs_grep.sh
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- fs_glob.sh
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- fs_ls.sh
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- web_search_loki.sh
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# - execute_command.sh
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# ...
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```
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