mahanai 7.6.1

MahanAI: terminal AI agent for NVIDIA NIM (OpenAI-compatible), tools, streaming, /api-key, safety prompts.

MahanAI

A terminal AI agent with a plugin ecosystem, gateway server, and full multi-model support.

📖 Docs · 🐛 Issues · 🔌 Plugin Store

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What is MahanAI?

MahanAI is a terminal AI agent you install with pip. It gives you a powerful chat interface, agentic tool use (run commands, read/write files, search the web), and a local gateway server that makes all your configured AI providers available as a single unified API endpoint — so any tool that speaks OpenAI or Anthropic format can point at it.

On top of that: a plugin system (.mmd files) with a GitHub-backed store, custom themes (.mai files), conversation branching, effort levels, plan mode, and 60+ slash commands.

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Install

pip install mahanai
mahanai

That's it. An onboarding wizard runs on first launch to help you pick a model and set up API keys.

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Highlights

• Gateway server — expose all your providers behind one OpenAI/Anthropic-compatible endpoint; works with Cursor, Continue, LM Studio, Claude Code, and more
• Plugin store — install community .mmd plugins with /store install, publish your own with /store upload
• Custom themes — write .mai theme files with gradients, color aliases, and display name overrides
• Multi-model — Claude (via Claude Code), NVIDIA NIM, OpenAI Codex, Ollama, and any OpenAI-compatible endpoint
• Agentic tools — shell commands, file read/write/edit, web search, Python REPL, URL fetch — all with approval prompts and inline diffs
• Plan mode & effort levels — /plan on to outline before acting; /effort high for deeper reasoning
• Conversation branching — save and restore conversation states to explore multiple paths
• Searchable chat history — search saved chats by keyword with /history search <query>
• Shell history awareness — inject your recent bash/zsh history into context with /shell-history inject
• Cost tracking — /cost shows session token usage and estimated spend
• Desktop notifications — get pinged when a long generation finishes

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Gateway Server

Start a local HTTP server that routes requests to the right backend automatically:

mahanai --server                          # OpenAI-compatible on port 8080
mahanai --server --type anthropic         # Anthropic-compatible
mahanai --server --port 9000 --api-key sk-gaming

Point any OpenAI-compatible client at http://localhost:8080 and use model IDs like claude-sonnet-4-6, meta/llama-3.3-70b-instruct, or your Ollama model name — MahanAI routes and converts formats automatically, including SSE streaming end-to-end.

A browser-based chat UI is also available at http://localhost:8080 when the server is running.

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Models

Switch models interactively with /models or quick-switch with /mode claude / /mode default.

Provider	How to connect
Claude (Opus, Sonnet, Haiku)	Install Claude Code and sign in
NVIDIA NIM (Llama 3.3 70B)	/api-key-nvidia your-key
OpenAI Codex	/codex-login (browser OAuth, no API key needed)
Ollama	/add-ollama name localhost 11434
Any OpenAI-compatible API	/custom http://your-server/v1 model-name

Default model on first launch: Claude Haiku 4.5

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Plugins

Plugins are .mmd files that register new slash commands. They can delegate to Claude Code, MahanAI itself, or the shell.

# Install from the store
/store install mahancreate/maifoundation.example.mahmod

# Load a local plugin
/plugin-load path/to/my-plugin.mmd

# Browse the store
/store browse
/store search compact

Publishing your own plugin is one command:

/store upload path/to/my-plugin.mmd

This creates a public GitHub repo, pushes the .mmd file, and tags it so it shows up in /store browse.

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Themes

Four built-in themes (midnight, light, midnight-cb, light-cb) plus full custom theme support via .mai files:

/themes midnight          # switch theme
/theme-load mytheme.mai   # load a custom theme

A .mai theme file looks like this:

theme.name        = my-theme
theme.pretty.name = My Custom Theme

blue = #5B8DEF
gold = #F5C842

ascii-art.default.color = gradient("blue -> gold")
message.ai.color        = color("blue")
message.user.color      = color("gold")
message.ai.name         = text("assistant")

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Project Config (.mahanairc)

Place a .mahanairc in any project directory and MahanAI loads it automatically — pre-loading context files, auto-installing plugins, and activating dev kit extras scoped to that workspace.

load(location="context.md" type=context)
load(location="plugins/my-plugin.mmd" type=mmd)
load(python-dev-kit)

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Key Commands

Command	Description
/models	Interactive model picker
/effort <low|medium|high|very-high>	Set reasoning depth
/plan on|off	Outline approach before every response
/auto on|off	Autonomous mode (skip approval prompts)
/branch save <name>	Snapshot conversation state
/branch load <name>	Restore a snapshot
/cost	Show session token usage and cost
/memory add <text>	Save a persistent memory
/history search <query>	Search saved chat sessions
/shell-history inject	Add recent shell history to context
/store browse	Browse the plugin store
/cmd	Fuzzy-search all 60+ commands
/init	Generate a MAHANAI.md workspace context file

Full command reference: mahancreate.github.io/mahanai

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API Keys

Provider	How
NVIDIA NIM	/api-key your-key or MAHANAI_API_KEY=...
NVIDIA direct	/api-key-nvidia your-key
Claude	Handled by Claude Code — no extra config
OpenAI Codex	/codex-login (browser OAuth)

Keys are stored in ~/.config/mahanai/config.json (Linux/macOS) or %APPDATA%\MahanAI\config.json (Windows).

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Environment Variables

Variable	Purpose
MAHANAI_API_KEY	Override saved server API key
MAHANAI_MODEL	Override default model
MAHANAI_STREAM	Set to 0 to disable streaming
MAHANAI_CONFIG_DIR	Override config directory
NO_COLOR	Disable terminal colors

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License

MIT © The MahanAI Foundation