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๐Ÿฆ SimhaCLI

AI-Powered Coding Agent for Your Terminal

PyPI version Python 3.10+ License: MIT

Built by Narasimha Naidu Korrapati

Features โ€ข Installation โ€ข Configuration โ€ข Commands โ€ข Tools


๐Ÿ“– Overview

SimhaCLI is a powerful terminal-based AI coding agent that brings the intelligence of Large Language Models directly into your development workflow. It reads your code, executes tools, manages sessions, and streams its thinking โ€” all inside your terminal.

SimhaCLI๐Ÿฆ  starting  refactor my auth module
โ ฆ ๐Ÿฆ Simha is working... (2.1s)
๐Ÿ’ญ SimhaCLI thinking (1.3s) The user wants to refactor the auth module...  โ–Œ
๐Ÿ’ญ thought for 1.3s

I'll read the existing auth module first and then suggest improvements.
SimhaCLI๐Ÿฆ  complete in 14.2s  8821 tokens (8120 prompt + 701 completion)

โœจ Features

๐Ÿค– Intelligent Agentic Loop

  • Multi-turn reasoning โ€” autonomously calls tools, reads results, and continues until the task is done
  • Parallel tool execution โ€” runs multiple tool calls simultaneously with asyncio.gather
  • Context compression โ€” auto-summarises history when the context window fills up
  • Loop detection โ€” detects and breaks repetitive behaviour automatically
  • Truncation recovery โ€” handles finish_reason: length gracefully, continues or retries
  • Git context awareness โ€” system prompts include current branch, status, and recent commits

๐Ÿ“Ž File Attachments

  • Attach files to prompts โ€” use @attach file.txt or @attach path/to/file.py
  • Multiple file support โ€” attach multiple files in a single prompt
  • Smart summary โ€” shows attachment count and total size
  • Auto-inclusion โ€” file contents are automatically included in the model context

๐Ÿ’ญ Thinking Display

  • Live reasoning โ€” streaming ๐Ÿ’ญ display shows what the model is thinking in grey italic text
  • Running timer โ€” see how long the model has been reasoning
  • Collapsed summary โ€” freezes as ๐Ÿ’ญ thought for X.Xs when reasoning completes (models with extended thinking)

โฑ๏ธ Performance Visibility

  • Live working spinner โ€” โ ฆ ๐Ÿฆ Simha is working... (10.1s) shows elapsed time
  • Total request timer โ€” complete time shown on every response
  • Token tracking โ€” complete in 12.4s 8375 tokens (8119 prompt + 256 completion)

๐Ÿ› ๏ธ 16 Built-in Tools

Category Tools
๐Ÿ“– Read read_file, list_dir, glob, grep
โœ๏ธ Write write_file, edit_file
๐Ÿ–ฅ๏ธ Shell shell (40+ blocked dangerous commands)
๐ŸŒ Web web_search, web_fetch
๐Ÿ’พ Memory todos (task management), memory (persistent key-value)
๐Ÿค– Sub-agents codebase_investigator, code_reviewer, test_generator, bug_fixer, refactorer

๐Ÿ”Œ MCP (Model Context Protocol)

  • Connect to any MCP server via stdio or HTTP/SSE transport
  • Tools discovered automatically at startup
  • Manage connections live with /mcp
  • Pre-configured examples for GitHub, PostgreSQL, Supabase, and Playwright
  • Vercel deployment uses CLI (npm install -g vercel) โ€” no MCP needed

๐Ÿš€ Development Workflows

End-to-end automation with a single command or natural language:

Action Description
fullstack GitHub โ†’ Push โ†’ Install โ†’ Env โ†’ Build โ†’ README โ†’ DB โ†’ Deploy โ†’ Tests
github Create a GitHub repository
push Commit and push code changes
install_deps Auto-detect and install dependencies (npm, yarn, pip, cargo, etc.)
env_setup Create .env file from template or with custom variables
build Auto-detect and run build commands
readme Generate README.md for the project
database Set up PostgreSQL or Supabase database
deploy Deploy to Vercel
tests Run Playwright E2E tests

Just ask in natural language:

  • "Deploy my app to Vercel"
  • "Create a GitHub repo and push my code"
  • "Set up the database for my project"
  • "Build and deploy my full stack app"

Works with MCP servers when configured, falls back to CLI tools automatically.

๐Ÿ’พ Session Management

  • Every chat is saved automatically to your local data directory โ€” list them with /sessions, read one with /history <n>, and continue it with /resume <n>
  • Pick up where you left off from the shell: simhacli --continue (latest chat in this directory) or simhacli --resume <id>
  • Create mid-task checkpoints (/checkpoint / /restore <id>)
  • Undo the last file edit (/undo)

๐Ÿ”’ Safety & Approval

  • Configurable approval policy โ€” from on_request to fully autonomous yolo
  • Shell command allowlist/blocklist
  • Environment variable masking (API keys, tokens, secrets never leaked to the model)
  • Tool permissions โ€” /permissions command to manage tool access (allow/deny specific tools)
  • Allowed/denied tools โ€” configure allowed_tools and denied_tools in config.toml

๐Ÿงฉ VS Code Extension

  • Sidebar chat backed by the same agent (simhacli serve): same tools, approvals, saved chats, models and API key
  • Selection-aware: selected code is added to your message automatically, and Modify / Review / Explain with SimhaCLI appear in the editor's code-action menu
  • Approval cards with a real diff view, Revert for the latest changes, in-panel chat history, colour-coded approval modes
  • Opens on the right (Secondary Side Bar) and can move to the left. Requires VS Code 1.106+
  • See vscode-extension/README.md for setup and settings

๐Ÿš€ Project Initialization

  • /init command โ€” deeply analyzes project structure and generates:
    • AGENTS.md โ€” coding conventions and project guidelines for AI agents
    • SIMHACLI.md โ€” SimhaCLI-specific project context and instructions
  • Smart detection โ€” identifies languages, frameworks, and project patterns
  • Context-aware โ€” future sessions automatically load these instruction files

๐Ÿš€ Installation

Prerequisites

  • Python 3.10+
  • An API key (OpenRouter, OpenAI, Gemini, or any OpenAI-compatible endpoint)
pip install simhacli
simhacli                          # interactive mode
simhacli "fix the bug in app.py"  # single prompt
simhacli --help                   # show all options

Install from Source

git clone https://github.com/naidu199/SimhaCLI.git
cd SimhaCLI
pip install -e .
simhacli

โš™๏ธ Configuration

SimhaCLI looks for configuration in two places (project overrides global):

Location Purpose
~/.simhacli/config.toml Global defaults
<project>/.simhacli/config.toml Per-project overrides

Minimal config.toml

[model]
name = "openrouter/free"
temperature = 1.0

api_key = "your_api_key_here"
api_base_url = "https://openrouter.ai/api/v1"

Set credentials interactively

simhacli
> /credentials

Full config.toml Reference

[model]
name = "openrouter/free"   # any OpenAI-compatible model
temperature = 1.0

api_key = "sk-..."
api_base_url = "https://openrouter.ai/api/v1"

max_turns = 72                  # max agentic loop turns per request
max_tool_output_tokens = 50000  # truncate large tool outputs
approval = "on_request"         # see Approval Policies below
hooks_enabled = true
auto_save_sessions = true   # save every chat locally for /sessions, /history, /resume
developer_instructions = "Always prefer TypeScript over JavaScript."
user_instructions = "Be concise."

# Restrict which tools the agent can use
# allowed_tools = ["read_file", "write_file", "shell"]

[shell_environment]
ignore_default_excludes = false
exclude_patterns = ["*KEY*", "*TOKEN*", "*SECRET*"]

# Add MCP servers
[mcp_servers.filesystem]
command = "npx"
args = ["-y", "@modelcontextprotocol/server-filesystem", "/home/user/projects"]

# HTTP/SSE transport
[mcp_servers.my_remote]
url = "http://localhost:8000/sse"

# Add lifecycle hooks
[[hooks]]
name = "format_on_write"
trigger = "after_tool"
command = "black {file}"
enabled = true

Approval Policies

Policy Behaviour
on_request Ask before shell commands and file writes (default)
always Ask before every tool call
auto_approve Auto-approve everything
auto_edit Auto-approve file edits, ask for shell
on_failure Only ask if the tool fails
yolo Never ask โ€” fully autonomous
never Block all tool calls

๐Ÿ’ฌ Commands

Type any of these during an interactive session:

Command Description
/help Show all commands
/exit / /quit Exit SimhaCLI
/clear Clear conversation history
/config Display current configuration
/stats Show session statistics and token usage
/tools List available tools
/mcp Show MCP server connection status
/model <name> Switch model (saves to project config)
/approval <policy> Change approval policy
/credentials / /creds View or update API key / base URL
/permissions Manage tool access permissions (allow/deny/reset)
/init Analyze project and generate AGENTS.md and SIMHACLI.md files
/save Save current session to disk (chats also save automatically)
/sessions [all] List saved chats, newest first (/sessions delete <n>)
/history [n|id] Show a saved chat's messages (default: current chat)
/resume [n|id] Continue a saved chat (no argument: pick from the list)
/checkpoint Create a checkpoint of the current session
/restore <id> Restore a checkpoint
/undo Undo the last file edit (interactive selective revert)
/run <command> / !<cmd> Execute a terminal command directly
/workflow <name> [args] Run development workflows (fullstack, github, push, etc.)
/bot Show Telegram bot configuration and setup instructions

๐Ÿค– Telegram Bot

Access SimhaCLI remotely from your phone via Telegram:

Command Description
simhacli bot setup Interactive setup: configure bot token and user IDs
simhacli bot start Start the Telegram bot (runs in foreground)
simhacli bot status Show current bot configuration

After setup, your bot will accept messages and commands directly in Telegram. Allowed users can chat with SimhaCLI via the bot.


๐Ÿ”ง Custom Tools

Drop a Python file into <project>/.simhacli/tool/ and SimhaCLI picks it up automatically:

from tools.base import Tool, ToolResult
from pydantic import Field

class MyTool(Tool):
    name = "my_tool"
    description = "Does something useful"

    class Arguments(Tool.Arguments):
        message: str = Field(description="Input message")

    async def execute(self, args: Arguments) -> ToolResult:
        return ToolResult.success_result(f"Got: {args.message}")

Adding Custom MCP Servers

  1. Open .simhacli/config.toml

  2. Add a new section following one of the patterns:

    Python (recommended):

   [mcp_servers.my_tool]
   command = "uvx"
   args = ["mcp-server-package-name"]
   enabled = true

Node:

   [mcp_servers.my_tool]
   command = "npx"
   args = ["-y", "@scope/server-name"]
   enabled = true
  1. Restart SimhaCLI
  2. Browse more MCPs: https://github.com/modelcontextprotocol/servers

๐Ÿ–ฅ๏ธ CLI Options

simhacli [OPTIONS] [PROMPT]

Options:
  -c, --cwd DIRECTORY  Set the working directory for the agent
  -r, --resume ID      Continue a saved chat (number from /sessions, or session id / prefix)
  --continue           Continue the most recent chat in this directory
  -v, --version        Show the version and exit
  --help               Show this message and exit

Commands:
  bot    Manage the SimhaCLI Telegram bot
  serve  Run SimhaCLI as a backend for editor extensions (JSON over stdin/stdout)

๐Ÿ“ Changelog

v1.6.0 (October 7, 2026)

  • simhacli serve: headless backend for editor extensions (newline-delimited JSON over stdin/stdout)
  • VS Code extension (vscode-extension/, installed separately from its .vsix; needs SimhaCLI 1.6.0+): sidebar chat, selection actions, approval cards with diff view, chat history, revert
  • Chats are saved automatically; /sessions, /history, /resume, and --resume / --continue to pick one up again
  • Safety fixes: shell commands that need approval now prompt under the default policy; actions with no approval handler are denied; allow/deny tool lists are enforced; .. paths can no longer escape the workspace; shell injection in the fullstack workflow closed
  • Fixes: orphaned tool calls no longer break a session, large tool output is no longer cleared before the model sees it, /stats, /undo, /run and config saving crashes, Python 3.10 support, wrong MCP package names for sequential-thinking and fetch
  • Fixed: simhacli "<prompt>" failed with "No such command" since the bot subcommand was added
  • Tool calls are reported as soon as they start (before approval), not only after they finish

v1.5.3 (October 2, 2026)

  • Config Saving: Saving config now preserves existing TOML comments and has better error handling
  • read_file: Improved code extraction and display logic
  • Windows: Consistent console encoding configuration

v1.5.2 (April 5, 2026)

  • Image Attachments & Multimodal Messaging in Telegram Bot: Send photos and get AI analysis with vision-capable models
  • Enhanced Real-time Progress: Live spinners, tool call tracking, and progressive status updates in Telegram
  • Improved Response Formatting: Better loading indicators and agent output presentation

v1.5.0 (April 1, 2026)

  • Telegram Bot Integration: Access SimhaCLI remotely from your phone
    • simhacli bot setup โ€” interactive configuration of bot token and allowed users
    • simhacli bot start โ€” start the Telegram bot (runs in foreground)
    • simhacli bot status โ€” show current bot configuration
    • /bot command โ€” show bot setup instructions directly in SimhaCLI
  • User Authentication: Telegram bot restricts access to allowed user IDs
  • Real-time Bot Status: Visual indicators for bot configuration and readiness
  • Improved Configuration Management: Better error handling and setup guidance

v1.4.0 (March 20, 2026)

  • Complete Command System Overhaul: New Command pattern with registry for better extensibility

  • New Commands:

    • /undo โ€“ Undo file changes with interactive selective revert menu
    • /run <command> / !<cmd> โ€“ Execute terminal commands directly
    • /workflow <name> [args] โ€“ Run development workflows (fullstack, github, push, etc.)
  • Live Context Usage Display: See real-time token count vs context window in TUI

  • Enhanced Context Management: Actual token counting, pruning at 75%, improved compression at 75% threshold

  • Improved Undo: Interactive menu for selective file reversion with safety checks

  • Better Model Switching: /model now preserves config file comments and updates system prompt

  • Refactored Architecture: Cleaner separation with CommandHandler and command registry

  • Enhanced Error Messages: System prompts include context management feedback

v1.3.0 (March 18, 2026)

  • Development Workflows: 10 end-to-end workflow actions (fullstack, github, push, install_deps, env_setup, build, readme, database, deploy, tests)
  • Natural Language Routing: Agent automatically maps user requests to workflow actions
  • Supabase MCP Support: Full Supabase integration alongside PostgreSQL
  • Smart Auto-Detection: Package managers, build commands, and project types detected automatically
  • MCP Setup Guide: Comprehensive MCP_SETUP_GUIDE.md with step-by-step instructions
  • Preserved Config Comments: Changing model via /model no longer strips comments from config.toml
  • Enhanced Error Messages: All MCP errors now show setup instructions with config snippets
  • Security Improvements: Placeholder values in configs, .gitignore protection for sensitive data

v1.2.0 (March 17, 2026)

  • New /init Command: Deeply analyzes projects and generates AGENTS.md and SIMHACLI.md instruction files for better context-aware coding
  • New /permissions Command: Manage tool access permissions directly from the CLI
  • File Attachment Support: Attach files to prompts using @attach file syntax
  • Git Context Integration: System prompts now include git context (branch, status) for enhanced understanding
  • Enhanced Error Handling: Improved error handling and logging throughout the agent
  • Tool Permission Status: TUI now displays tool permission status (allowed/denied)

v1.1.0 (January 27, 2026)

  • Initial public release on PyPI
  • 16 built-in tools for file operations, shell commands, web access, and sub-agents
  • MCP (Model Context Protocol) support
  • Session management with save/resume/checkpoint/restore
  • Configurable approval policies
  • Thinking display with live reasoning visualization
  • Token tracking and performance metrics


Made with โค๏ธ by Narasimha Naidu Korrapati

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