Skip to main content

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

Project description

(M MahanAI)

MahanAI

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

PyPI version Python License: MIT Downloads

📖 Docs · 🐛 Issues · 🔌 Plugin Store


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.


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.


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
  • 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

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.


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


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.


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")

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)

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
/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


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).


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

License

MIT © The MahanAI Foundation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mahanai-7.5.0.tar.gz (86.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mahanai-7.5.0-py3-none-any.whl (90.8 kB view details)

Uploaded Python 3

File details

Details for the file mahanai-7.5.0.tar.gz.

File metadata

  • Download URL: mahanai-7.5.0.tar.gz
  • Upload date:
  • Size: 86.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for mahanai-7.5.0.tar.gz
Algorithm Hash digest
SHA256 2e38da017a6fc78a0afcf60dab72fa071019d120cdee661a7ac6cbab64e4e7d7
MD5 3be0002ef6a3a92b26f61226845af875
BLAKE2b-256 22a323a71f9fdb43ef287401bc5899d90ea3c2ebb9b73a5242835bd3d9e972ab

See more details on using hashes here.

File details

Details for the file mahanai-7.5.0-py3-none-any.whl.

File metadata

  • Download URL: mahanai-7.5.0-py3-none-any.whl
  • Upload date:
  • Size: 90.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for mahanai-7.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e5dcf5b50357fb1e7238a96f2deb0f10d6fe90df85c46a161f6e21e93b6cfb56
MD5 e7dc37c8f85492bd9a72f76799e7a3f2
BLAKE2b-256 204eaf56887c3a21e86338debea8196d675e7bdfc7e6c757ee31d6c10a1cb96f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page