BSE_Code 1.6.0

🤖 BSE-Code

The AI coding assistant that lives in your terminal — works with ANY LLM, zero lock-in, zero compromise.

Chat with your codebase, read and write files, run shell commands, connect MCP servers, build reusable skills, persist project memory, and pick up right where you left off — all from a gorgeous interactive REPL.

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✨ Why BSE-Code?

🌐 Any LLM, anywhere	OpenRouter, OpenAI, Anthropic, Google AI, Ollama, LM Studio, Local AI Foundry, or any OpenAI-compatible endpoint
🆓 Start for free	OpenRouter's free tier gives you Gemini 2.5 Pro, Llama 4, DeepSeek R1 — no credit card
🏠 Fully local	Ollama or LM Studio — no API key, no data leaving your machine
🧠 Context-aware	Project memory, skills, and MCP tools are all injected automatically into every session
💾 Session persistence	Save and resume conversations per project — never lose context again
🎨 Beautiful terminal UI	6 built-in themes, interactive slash picker, history navigation, full cursor editing
⚡ Instant shell access	!git status, !npm run build — run any command without leaving the chat
📂 File injection	@src/auth.ts — drop any file or directory straight into your prompt

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🚀 Install

via .NET tool (NuGet)

Requires .NET 10 SDK.

dotnet tool install --global BSE_Code

Update to the latest version:

dotnet tool update --global BSE_Code

via npm

Requires Node.js 18+. No .NET SDK needed — the binary is bundled.

npm install -g bse-code

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🌐 Supported Providers

#	Provider	Models	API Key
1	🔀 OpenRouter	100+ models, free tier available	Yes (free at openrouter.ai)
2	🟢 OpenAI	GPT-4o, o3, o1, GPT-3.5	Yes
3	🟣 Anthropic	Claude 3.7/3.5 Sonnet, Haiku, Opus	Yes
4	🔵 Google AI	Gemini 2.5 Pro/Flash, 2.0, 1.5	Yes (free tier)
5	🦙 Ollama	llama3, mistral, qwen, deepseek…	❌ No (local)
6	🖥️ LM Studio	Any model loaded in LM Studio	❌ No (local)
7	🏭 Local AI Foundry	Phi-4, Phi-3.5 Mini, and more	❌ No (local)
8	⚙️ Custom	Any OpenAI-compatible endpoint	Optional

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🧙 First-run Setup

On first run, an interactive wizard walks you through everything:

1. 🎯 Pick a provider
2. 🔗 Set the base URL (pre-filled for known providers)
3. 🔑 Enter your API key (skipped for local providers)
4. 🤖 Browse available models and pick one
5. 💾 Everything saved to ~/.bse-code/config.json

Re-run the wizard any time:

bse-code --config

⚡ Quick-start by provider

🔀 OpenRouter — free models, no credit card

bse-code --config
# Select [1] OpenRouter
# Get a free key at: https://openrouter.ai/keys
# Pick Gemini 2.5 Pro, Llama 4, DeepSeek R1 — all free!

🦙 Ollama — fully local, zero cost

ollama pull llama3.2
bse-code --config
# Select [5] Ollama → accept default URL → pick your model

🟢 OpenAI

bse-code --config
# Select [2] OpenAI → https://platform.openai.com/api-keys

🟣 Anthropic

bse-code --config
# Select [3] Anthropic → https://console.anthropic.com/settings/keys

🔵 Google AI (Gemini)

bse-code --config
# Select [4] Google AI → https://aistudio.google.com/app/apikey

🖥️ LM Studio

# 1. Open LM Studio, load a model, start the local server
bse-code --config
# Select [6] LM Studio → accept default URL (http://localhost:1234/v1)

🏭 Local AI Foundry

bse-code --config
# Select [7] Local AI Foundry → accept default URL (http://localhost:5272/v1)

⚙️ Custom endpoint

bse-code --config
# Select [8] Custom → enter your URL, key, and model name

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💻 Usage

🔁 Interactive REPL (recommended)

bse-code

  ╭──────────────────────────────────────────╮
  │   ██████╗ ███████╗███████╗                │
  │   ██╔══██╗██╔════╝██╔════╝                │
  │   ██████╔╝███████╗█████╗   ─ code         │
  │   ██╔══██╗╚════██║██╔══╝                  │
  │   ██████╔╝███████║███████╗                │
  │   ╚═════╝ ╚══════╝╚══════╝                │
  ╰──────────────────────────────────────────╯
  provider: OpenRouter
  model   : google/gemini-2.5-pro-exp-03-25:free
  theme   : default
  cwd     : my-project
  🧠 skills : 2 loaded
  🔌 mcp    : 5 tools from 1 server(s)
  💾 memory : 1 BSE.md file(s) loaded
  type /help for commands · /exit to quit 🚀

 my-project (main) ❯

⚡ One-shot mode

bse-code -p "explain the auth flow in src/auth/"
bse-code -p "list all TODO comments" --output-format json

🏳️ All CLI flags

bse-code                              # 🔁 Interactive REPL
bse-code -p "<prompt>"                # ⚡ One-shot prompt
bse-code --model <model-id>           # 🤖 Override model for this session
bse-code --theme <name>               # 🎨 Set color theme for this session
bse-code --output-format json|text    # 📄 Output format (one-shot only)
bse-code --config                     # ⚙️  Re-run the setup wizard
bse-code --version, -v                # 🔢 Show version
bse-code --help, -h                   # ❓ Show help

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🪄 Special Input Prefixes

Two power-user shortcuts that make BSE-Code feel like a real dev tool:

@ — File & directory injection

Drop any file or folder straight into your prompt. Tab-completes paths as you type.

@src/auth.ts explain this file
@src/auth/ summarize all files in this folder
@README.md what's missing from this doc?

Directories inject up to 20 files automatically — perfect for asking about a whole module at once.

! — Shell passthrough

Run any shell command instantly, no AI involved, output right in your terminal.

!git status
!dotnet build
!npm run test
!ls -la src/

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⌨️ REPL Slash Commands

🔧 Core

Command	Description
/clear	🧹 Wipe conversation history — fresh start
/model [id]	🤖 Show current model or switch to a new one mid-session
/compact [hint]	🗜️ Ask the AI to summarize history and trim tokens
/stats	📊 Show session stats (duration, turns, tool calls, messages, model, provider, theme, skills, MCP tools)
/tools	🔧 List all available built-in and MCP tools
/help	❓ Show all commands
/exit or /quit	👋 Quit

🎨 Appearance

Command	Description
/theme	🎨 List all available themes with active marker
/theme <name>	🎨 Switch theme — persisted to config

🧠 Skills

Command	Description
/skills	📋 List all loaded skills (user + project level)
/<skill-name>	▶️ Invoke a skill
/<skill-name> @file.ts	▶️ Invoke a skill with a file argument

🔌 MCP

Command	Description
/mcp	🔌 List all connected MCP servers and their tools
/mcp reload	🔄 Hot-reload MCP servers without restarting

💾 Memory

Command	Description
/memory	💾 Show all loaded BSE.md files
/memory add <text>	✏️ Append a note to ./BSE.md instantly
/memory refresh	🔄 Reload all BSE.md files and refresh the system prompt
/init	🎉 Scaffold a BSE.md in the current directory

📁 Sessions

Command	Description
/save <tag>	💾 Save the current conversation with a tag
/resume	📂 List all saved sessions for this project
/resume <tag>	▶️ Restore a saved session and pick up where you left off

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🎮 Interactive Input — Feels Like a Real Shell

The REPL has a fully interactive input reader. No more typing blind.

/ — Slash command picker

Type / and an inline menu pops up instantly:

  /  ↑↓ navigate · Enter select · Esc cancel
  ▶ /clear                🧹 clear conversation history
    /model                🤖 show or switch model
    /compact              🗜️  summarize history to save tokens
    /theme                🎨 list or set color theme
    /skills               🧠 list loaded skills
    /mcp                  🔌 list MCP servers and tools
    /memory               💾 show loaded BSE.md files
    /save                 💾 save conversation
    /resume               ▶️  list or resume a saved session
    …

• ⬆️⬇️ Arrow keys navigate the list
• ⌨️ Type more characters to filter live — /th narrows to /theme
• ↩️ Enter selects, Esc cancels and lets you type manually
• ⇥ Tab completes the top match
• 🧠 Your skills appear right alongside built-in commands

📜 History navigation

• ⬆️⬇️ arrows cycle through previous inputs — just like your shell
• Your current draft is preserved when you browse back

✏️ Full cursor editing

• ⬅️➡️ move the cursor anywhere in the line
• Home / End jump to start or end instantly
• Backspace / Delete work at any cursor position

⇥ Tab completion

• On /<cmd> — completes or opens the slash picker
• On @<path> — completes file and directory paths from the filesystem

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🧠 Skills — Reusable AI Workflows

Skills are markdown files that give the AI reusable instructions or workflows. Write once, invoke from any project.

📂 Locations (both are loaded and merged):

• ~/.bse-code/skills/ — user-level, available in every project
• .bse-code/skills/ — project-level, scoped to this repo

Example skill (.bse-code/skills/review.md):

# Code Review

Review the provided code for:
- Correctness and logic errors
- Performance issues
- Security vulnerabilities
- Code style and readability

Provide specific, actionable feedback with line references.

Invoke it:

/review
/review @src/PaymentService.cs

Skills are also injected into the system prompt automatically — the AI always knows what skills are available. 🚀

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💾 Project Memory (BSE.md)

BSE.md files are loaded automatically at startup and injected into every session's system prompt. Teach the AI about your project once — it remembers forever. Similar to Claude's CLAUDE.md and Gemini's GEMINI.md.

🏗️ Hierarchy — all three are merged:

File	Scope
~/.bse-code/BSE.md	🌍 Global — your personal preferences across all projects
./BSE.md	📁 Project — tech stack, commands, coding standards
./BSE.local.md	🔒 Local overrides — add to .gitignore

Scaffold one instantly:

bse-code
/init

This creates a BSE.md template with sections for project overview, tech stack, dev commands, and coding standards — ready to fill in.

Add notes on the fly:

/memory add always use async/await, never .Result or .Wait()
/memory add run `dotnet test` before committing

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🔌 MCP (Model Context Protocol)

Connect any external tool or service to BSE-Code via MCP servers. GitHub, databases, Slack, custom APIs — if it speaks MCP, it works here. Tools are discovered automatically and made available to the AI.

Config file: ~/.bse-code/mcp.json

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/dir"],
      "disabled": false
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "your-token"
      }
    }
  }
}

• MCP tools are available to the AI as mcp__serverName__toolName
• Hot-reload without restarting: /mcp reload 🔄
• Inspect what's connected: /mcp
• Disable a server without removing it: "disabled": true

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🔨 Built-in AI Tools

The AI can use these tools autonomously to get things done:

Tool	What it does
📖 read_file	Read any file's contents
✏️ Write	Write or create a file (auto-creates parent directories)
🖥️ Bash	Execute shell commands — cross-platform (cmd.exe on Windows, bash on Unix)
📂 list_dir	List files and subdirectories at a path
🔍 glob	Find files matching a glob pattern (e.g. src/**/*.cs)
🔎 grep	Search files with a regex pattern (up to 200 matches, recursive by default)
🔌 mcp__*__*	Any tool from your connected MCP servers

Tool calls are shown inline as the AI works — you see exactly what it's doing in real time. ✓ or ✗ per call.

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💾 Session Management

Never lose a good conversation. Save any session with a tag and resume it later — even across restarts.

/save auth-refactor

/resume
# shows all saved sessions for this project:
#   auth-refactor   2025-04-24 14:32   18 messages   [gpt-4o]
#   bug-hunt        2025-04-23 09:15   31 messages   [claude-3-5-sonnet]

/resume auth-refactor
# ▶️  Resumed session 'auth-refactor' (18 messages) — welcome back!

Sessions are stored per-project in ~/.bse-code/sessions/ using a SHA-256 hash of the project path — no collisions, no mess. Each session records the tag, model, timestamp, working directory, and full message history.

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📊 Session Statistics

See exactly what's happening in your session:

/stats

  Session stats 📊
    ⏱  duration   : 00:23:41
    💬 turns      : 12
    🔧 tool calls : 34
    📨 messages   : 47
    🤖 model      : google/gemini-2.5-pro-exp-03-25:free
    🌐 provider   : OpenRouter
    🎨 theme      : dracula
    🧠 skills     : 3
    🔌 mcp tools  : 8

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🗜️ Conversation Compaction

Running low on context? Compact the conversation into a tight summary without losing the important bits.

/compact
/compact focus on the auth changes we made

The AI summarizes the conversation, the history is trimmed, and you keep going — same context, way fewer tokens. 🎯

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🎨 Themes

Six beautiful built-in themes. Switch any time, persisted automatically.

Theme	Accent	Vibe
default	🩵 Cyan	Classic terminal
dracula	💜 Magenta/Purple	Dark and moody
monokai	💛 Yellow	Warm and punchy
ocean	💙 Blue	Cool and calm
forest	💚 Green	Fresh and focused
light	🩵 Dark on light	For light terminals

Each theme customizes accent, prompt, response, tool calls, success/error states, skills, MCP, and git branch colors.

/theme dracula          # switch and persist
bse-code --theme ocean  # one session only

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⚙️ Configuration

Config file: ~/.bse-code/config.json

{
  "provider": "OpenRouter",
  "api_key": "sk-or-...",
  "model": "google/gemini-2.5-pro-exp-03-25:free",
  "base_url": "https://openrouter.ai/api/v1",
  "theme": "default"
}

For local providers — no API key needed:

{
  "provider": "Ollama",
  "api_key": "local",
  "model": "llama3.2",
  "base_url": "http://localhost:11434/v1",
  "theme": "forest"
}

🌍 Environment variables

Environment variables always override the config file — great for CI/CD or switching contexts fast.

Variable	Description
BSE_PROVIDER	Provider name (OpenRouter, OpenAI, Anthropic, Google, Ollama, LmStudio, LocalAiFoundry, Custom)
BSE_API_KEY	API key for the selected provider
BSE_MODEL	Model ID to use
BSE_BASE_URL	Override the API base URL

🔄 Legacy variables OPENROUTER_API_KEY, OPENROUTER_MODEL, OPENROUTER_BASE_URL are still accepted for backwards compatibility.

PowerShell (persist):

[System.Environment]::SetEnvironmentVariable('BSE_PROVIDER', 'OpenAI', 'User')
[System.Environment]::SetEnvironmentVariable('BSE_API_KEY', 'your-key', 'User')
[System.Environment]::SetEnvironmentVariable('BSE_MODEL', 'gpt-4o', 'User')

Bash (persist):

export BSE_PROVIDER="Ollama"
export BSE_MODEL="llama3.2"
# No BSE_API_KEY needed for local providers

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📁 File Structure

~/.bse-code/
├── config.json          # ⚙️  Provider, API key, model, base URL, theme
├── mcp.json             # 🔌 MCP server definitions
├── BSE.md               # 🌍 Global memory (injected into every session)
├── skills/
│   └── *.md             # 🧠 User-level skills (available in all projects)
└── sessions/
    └── <project-hash>/  # 💾 Saved conversations, isolated per project
        └── *.json

.bse-code/               # Project-level (commit this to your repo)
├── BSE.md               # 📁 Project memory
└── skills/
    └── *.md             # 🧠 Project-level skills

./BSE.md                 # 📁 Project memory (root level, same as above)
./BSE.local.md           # 🔒 Local overrides — add to .gitignore

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📦 Dependencies

Package	Version
OpenAI	2.10.0

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📄 License

MIT