AgentiLoopGo

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🎉 We just shipped release v0.0.2 for Mac, Windows and Linux!

Take it for a spin! Read the README and see how long it takes you to get AgentiLoop up and running. If you hit any issues, let us know. We'd love your feedback.

Bonus: A Rust version is available too: AgentiLoopCLI → https://github.com/AgentiLoop/AgentiLoopCLI

Try both and tell us which one does it better: Go or Rust? 🐹 vs 🦀

💖 Sponsor AgentiLoop

Like what you see? Help keep AgentiLoop fast and cross-platform. Sponsor us on GitHub Sponsors → AgentiLoop. Tiers and perks are in the Sponsorship guide.

AgentiLoop is an AI coding agent that runs in your terminal, in the spirit of Claude Code. You describe what you want in plain language. The agent reads your files, edits code and runs commands to get it done, and it asks your permission before it changes anything.

It's written in Go and runs on macOS, Linux and Windows. It is the Go twin of AgentiLoopCLI (Rust): same features, same options, same settings, session and MCP files, so you can switch between them freely. It works with Claude (Anthropic), OpenAI, local models through Ollama or LM Studio, and oMLX on Apple Silicon.

Created with AgentiLoop Agent! This is our baby. Prebuilt binaries for macOS, Linux and Windows are on the Releases page, or compile it from source with Go.

🚀 New here? Up and running in 5 minutes

No Rust, no Go, no compiling. You download one file, give it an API key and start chatting. Follow the steps in order.

1. Download AgentiLoop

First find out which file you need:

Your computer	File to download
Mac with Apple Silicon (M1, M2, M3, M4…)	`agentiloop-macos-arm64.tar.gz`
Mac with an Intel chip	`agentiloop-macos-x86_64.tar.gz`
Linux, 64-bit PC	`agentiloop-linux-x86_64.tar.gz`
Linux on ARM (Raspberry Pi 4/5, ARM servers)	`agentiloop-linux-arm64.tar.gz`
Windows 10/11	`agentiloop-windows-x86_64.zip`

Not sure? On Mac or Linux, run uname -m. arm64 or aarch64 means arm64, and x86_64 means x86_64.

macOS and Linux. Open Terminal and paste these lines. This example uses the Apple Silicon file, so change macos-arm64 in the first three lines if yours is different:

curl -LO https://github.com/AgentiLoop/AgentiLoopGo/releases/download/v0.0.2/agentiloop-macos-arm64.tar.gz
tar xzf agentiloop-macos-arm64.tar.gz
mkdir -p ~/.local/bin && mv agentiloop-macos-arm64/agentiloop ~/.local/bin/

That puts the program in ~/.local/bin, a folder in your home directory. Step 3 tells your terminal to look there.

Windows. Open PowerShell (Start menu → type "PowerShell") and paste:

Invoke-WebRequest https://github.com/AgentiLoop/AgentiLoopGo/releases/download/v0.0.2/agentiloop-windows-x86_64.zip -OutFile agentiloop.zip
Expand-Archive agentiloop.zip -DestinationPath $HOME\agentiloop -Force
$p = [Environment]::GetEnvironmentVariable("Path", "User")
[Environment]::SetEnvironmentVariable("Path", "$p;$HOME\agentiloop\agentiloop-windows-x86_64", "User")

The last two lines add AgentiLoop to your PATH. Close PowerShell and open a new window so it picks up the change.

2. Get an API key

AgentiLoop is the agent. The "brain" is an AI model that you connect it to. Pick one:

Option	Where to get it	Cost
Claude (recommended)	console.anthropic.com → Create Key. It starts with `sk-ant-`	Pay per use
OpenAI	platform.openai.com/api-keys. It starts with `sk-`	Pay per use
Ollama (runs on your own computer)	Install from ollama.com, then run `ollama pull qwen2.5-coder`	Free, no key

Copy the key somewhere safe. You'll paste it in the next step.

3. Save your settings in your shell profile

Your shell profile is a small text file that your terminal reads every time it opens a new window. Put your settings there and you only have to do this once. If you skip it, you'd have to type your key again in every new terminal. That's the #1 reason people get stuck.

Which file is it?

System	Shell (default)	Profile file
macOS (Catalina 10.15 and newer)	zsh	`~/.zshrc`
Most Linux distros	bash	`~/.bashrc`
Linux or Mac with zsh	zsh	`~/.zshrc`
fish shell	fish	`~/.config/fish/config.fish`
Windows	PowerShell	none needed, see below

Not sure which shell you use? Run echo $SHELL. ~ means your home folder, so ~/.zshrc is e.g. /Users/you/.zshrc. Files that start with a dot are hidden in Finder and file browsers, which is normal.

Open the file. Use one of these (they create the file if it doesn't exist yet):

nano ~/.zshrc                        # works everywhere, right in the terminal
touch ~/.zshrc && open -e ~/.zshrc   # macOS: opens it in TextEdit

(Linux with bash: use ~/.bashrc instead of ~/.zshrc.)

Add these lines at the bottom. Keep only the key line you need, and paste your real key between the quotes:

# AgentiLoop
export PATH="$HOME/.local/bin:$PATH"

export ANTHROPIC_API_KEY="sk-ant-paste-your-key-here"          # Claude
# export OPENAI_API_KEY="sk-paste-your-key-here"               # OpenAI
# export OPENAI_BASE_URL="http://localhost:11434/v1"           # Ollama (no key needed)

Save and close. In nano: Ctrl-O, Enter, then Ctrl-X. In TextEdit: ⌘S, then close the window.

Load it. Either open a new terminal window, or run:

source ~/.zshrc

fish uses a different syntax. Put this in ~/.config/fish/config.fish:

fish_add_path $HOME/.local/bin
set -gx ANTHROPIC_API_KEY "sk-ant-paste-your-key-here"

Windows (PowerShell). Windows has no profile file to edit for this. Save the key as a user environment variable instead:

setx ANTHROPIC_API_KEY "sk-ant-paste-your-key-here"
# or: setx OPENAI_API_KEY "sk-..."   /   setx OPENAI_BASE_URL "http://localhost:11434/v1"

Then close PowerShell and open a new window. setx doesn't affect the window it runs in. You can also do this with the mouse: Start → Edit environment variables for your account → New….

🔒 Keep your key private. Don't commit your profile file to git or paste the key into chats. On a Mac you can keep it in the Keychain instead; see Step 2 of the Quick start.

4. Check that it works

agentiloop --version

You should see agentiloop 0.0.2. Now check that the key is loaded:

echo $ANTHROPIC_API_KEY | cut -c1-10    # macOS / Linux: should print sk-ant-...

$env:ANTHROPIC_API_KEY.Substring(0,10)  # Windows PowerShell

If it prints nothing, go back to step 3. The key isn't loaded yet.

5. Your first session

Go to a project folder and start the full-screen interface:

Start with a new, empty test folder so you can try it safely. For a real project, cd into that project's folder instead (for example cd ~/code/my-app).

mkdir -p ~/agentiloop-test
cd ~/agentiloop-test
agentiloop --tui

Using Ollama? Tell it the provider and a model you've pulled: agentiloop -p openai -m qwen2.5-coder --tui.

Now just type what you want in plain English and press Enter. Some good first prompts:

explain what this project does
list the files in src and tell me which one is the entry point
find the TODO comments and summarize them
add a --verbose flag to the command-line parser
run the tests and fix anything that fails
create a README.md for this project

Before the agent changes a file or runs a command, it asks you. Press y for yes, n for no, a to always allow that tool for the session, or Esc to skip the step. Press Ctrl-C to quit. Next time, a plain agentiloop starts the same way and picks up your last conversation.

Just want one answer without the chat? Pass the question as an argument:

agentiloop "explain what this project does"

What can it do? (tools)

The agent works with five built-in tools. You don't call them yourself. You describe the goal, and the agent picks the tool:

Tool	What it does	Asks first?
`read_file`	Reads a file (with line numbers)	No
`list_dir`	Lists the files in a folder	No
`write_file`	Creates a new file or overwrites one	Yes
`edit_file`	Changes an exact piece of text in a file	Yes
`bash`	Runs a shell command, like tests, builds or `git` (`sh -c` on Mac/Linux, `cmd /C` on Windows)	Yes

Want more tools, like web search, databases or GitHub? Add MCP servers; see Adding tools with MCP.

The help command

agentiloop --help lists every option:

$ agentiloop --help
AgentiLoop — a cross-platform agentic coding loop for your terminal.

Usage: agentiloop [OPTIONS] [PROMPT]...

Arguments:
  [PROMPT]...  One-shot prompt. If omitted, starts an interactive REPL

Options:
  -p, --provider PROVIDER   Model backend (PROVIDER): anthropic, openai (OpenAI-compatible: OpenAI, Ollama,
                            LM Studio, Groq, OpenRouter, … via OPENAI_BASE_URL), or omlx (local
                            oMLX server, http://localhost:8000/v1). Defaults to the last one used,
                            then auto-detected from which credentials are set. [env: AGENTILOOP_PROVIDER]
  -m, --model MODEL         MODEL id to use. Defaults to the last model used with this provider
                            (~/.agentiloop/settings.json), then the provider's default. [env: AGENTILOOP_MODEL]
      --yes                 Skip all permission prompts (dangerous; intended for CI). Never remembered. [env: AGENTILOOP_YES]
      --max-turns N         Max provider round-trips (N) per prompt [default: last used, then 50]
      --compact-at TOKENS   Summarize the conversation once a request reaches this many input TOKENS (0 = never)
                            [default: last used, then 150000] [env: AGENTILOOP_COMPACT_AT]
  -C, --cwd DIR             Working directory (DIR) the agent operates in (defaults to cwd)
  -r, --resume ID           Resume a saved session by ID (see /sessions)
  -c, --continue            Resume the most recent session for this working directory
                            (the default for interactive launches; kept for scripts)
      --new                 Start a new session instead of continuing the last one in this directory
      --tui                 Full-screen terminal UI instead of the line REPL. Remembered. [env: AGENTILOOP_TUI]
      --no-tui              Use the line REPL even if the TUI was used last time
      --no-mcp              Don't start MCP servers from ~/.agentiloop/mcp.json / ./.mcp.json. [env: AGENTILOOP_NO_MCP]
  -h, --help                Print help
  -V, --version             Print version

Inside a session, type /help to see the chat commands (/model, /sessions, /resume, /clear, /compact, /mcp, /exit). The full reference is in All options and Commands inside the chat.

Stuck? Quick fixes

You see	Fix
`command not found: agentiloop`	`~/.local/bin` isn't on your PATH. Add the `export PATH=...` line from step 3, then open a new terminal. On Windows, open a new PowerShell window
`Error: no provider credentials found`	No key is loaded. Redo step 3, then check it with step 4
macOS: "agentiloop" cannot be opened / unidentified developer	This happens if you downloaded with a browser instead of `curl`. Run `xattr -d com.apple.quarantine ~/.local/bin/agentiloop`
Windows: Windows protected your PC	Click More info → Run anyway
`401` / `invalid x-api-key` / authentication error	The key is wrong or has spaces or quotes in it. Copy it again and check the line in your profile
Ollama: model not found	Run `ollama list` and pass the exact name with `-m`
It keeps using an old model or provider	It remembers your last choices. Pass `-p` / `-m` to change them, or delete `~/.agentiloop/settings.json` to reset

Still stuck? Open an issue and paste the command and the error. We'll help.

Quick start

Three steps: install it, give it a model, run it.

Step 1: Install

Download: grab the archive for your platform from Releases, unpack it and put agentiloop (agentiloop.exe on Windows) on your PATH.

Or build it: if you don't have Go yet (1.25 or newer), install it from go.dev/dl. Then:

go install github.com/AgentiLoop/AgentiLoopGo/cmd/agentiloop@latest

or from a clone:

git clone https://github.com/AgentiLoop/AgentiLoopGo.git
cd AgentiLoopGo
go install ./cmd/agentiloop

This builds the program and puts an agentiloop command on your PATH, in ~/go/bin (%USERPROFILE%\go\bin on Windows). No C compiler is needed.

Not installing? Everything in this README also works from inside the repo folder. Wherever you see agentiloop <options>, type go run ./cmd/agentiloop <options> instead.

Step 2: Connect a model

AgentiLoop needs a model to talk to. Pick one of these:

I want to use…	Do this
Claude (Anthropic)	`export ANTHROPIC_API_KEY=sk-ant-...`
OpenAI	`export OPENAI_API_KEY=sk-...`
Ollama, LM Studio, or any OpenAI-compatible server	`export OPENAI_BASE_URL=http://localhost:11434/v1` (use your server's address; no key needed for local servers)
oMLX (local models on Apple Silicon)	Usually nothing. Start oMLX, then run AgentiLoop with `-p omlx` (see below)

For Claude you can use a normal API key (sk-ant-api…) or a Claude Code token (sk-ant-oat01-…, which you get from claude setup-token). AgentiLoop detects which kind it is.

oMLX details. When oMLX runs on the same Mac, AgentiLoop reads the server port and API key from oMLX's own settings file (~/.omlx/settings.json), so you don't need to export anything. If oMLX runs on another machine, or you want to override those settings, export them yourself:

export OMLX_BASE_URL=http://192.168.1.50:7777/v1   # the oMLX server's address (or OMLX_PORT=7777 for localhost)
export OMLX_API_KEY=...                            # the API key from oMLX's settings

If oMLX has API key verification turned off, no key is needed.

An export only lasts for the terminal tab you typed it in. To make it permanent, add the line to your shell profile (~/.zshrc on macOS). On a Mac you can keep the key in the Keychain rather than in the file:

# one time: store the key in your Keychain
security add-generic-password -a "$USER" -s ANTHROPIC_API_KEY -w "sk-ant-..."

# in ~/.zshrc: load it for every new terminal
export ANTHROPIC_API_KEY="$(security find-generic-password -a "$USER" -s ANTHROPIC_API_KEY -w 2>/dev/null)"

Step 3: Run it

Go to the project you want to work on and start AgentiLoop:

cd ~/my-project
agentiloop --tui

--tui opens the full-screen interface, which we recommend. Type what you want, e.g. "find where the config file is loaded and add a --verbose flag", and press Enter.

You'll see the agent's replies, each tool it uses (🔧) and each result (✓ or ✖). The box at the bottom shows what it's doing right now, for example ✻ Thinking... 12s. Before it writes a file or runs a command, it asks you:

y: yes, this time
n: no
a: always allow this tool for the rest of the session
Esc: skip this step, but keep going

Three ways to use it

Mode	Command	Good for
TUI (full screen)	`agentiloop --tui`	Everyday use: scrolling history, live status, clickable links
Chat (line by line)	`agentiloop`	Simple terminals, or if you prefer plain text
One-shot	`agentiloop "explain this project"`	One question: it answers, then exits. Handy in scripts

Keys in the TUI: Enter sends · ↑ / ↓ go through earlier prompts · PgUp / PgDn or the mouse wheel scrolls · Ctrl-U clears the line · Ctrl-C quits.

It remembers your setup

You only type your options once. AgentiLoop saves how you launched it, so next time a plain agentiloop starts the same way:

agentiloop -p anthropic --tui    # first time: choose provider and TUI
agentiloop                       # from now on: same provider, same model, TUI, and your last conversation

What it remembers:

Provider (-p) and TUI on/off (--tui / --no-tui)
Model: the last one you used, separately for each provider. Switching back to a provider brings back its model.
Limits: --max-turns and --compact-at
Your conversation: it picks up the last conversation in the current folder, if that conversation used the same provider. The earlier messages are shown again on screen, so you can scroll back and see where you left off

To change something, pass the new option. It applies right away and is remembered from then on:

agentiloop -p omlx        # switch to oMLX (its last-used model comes back too)
agentiloop -m <model>     # switch model
agentiloop --no-tui       # back to the line-by-line chat
agentiloop --new          # start a fresh conversation (the old one stays saved)

Some things are never remembered on purpose:

--yes: skipping permission prompts has to be a deliberate choice every time
--no-mcp, -C and one-shot prompts
API keys: those stay in your shell profile

To forget everything, delete ~/.agentiloop/settings.json.

All options

Every option can also be set with an environment variable, shown in the second column. An option you type always beats a remembered value.

Option	Env variable	What it does
`-p, --provider <name>`	`AGENTILOOP_PROVIDER`	`anthropic`, `openai` or `omlx`. If you don't set one, AgentiLoop uses the last one, or detects it from your keys (Anthropic first, then OpenAI, then oMLX)
`-m, --model <id>`	`AGENTILOOP_MODEL`	Which model to use
`--tui` / `--no-tui`	`AGENTILOOP_TUI`	Full-screen interface on / off
`--new`		Start a new conversation instead of continuing
`-c, --continue`		Continue the last conversation here (already the default)
`-r, --resume <id>`		Reopen a specific conversation (find ids with `/sessions`)
`-C, --cwd <folder>`		Work in a different folder than the one you're in
`--yes`	`AGENTILOOP_YES`	Don't ask before running tools. ⚠️ Only for trusted, automated use
`--no-mcp`	`AGENTILOOP_NO_MCP`	Don't start MCP servers (see below)
`--max-turns <n>`		Max steps the agent may take per request (default 50)
`--compact-at <tokens>`	`AGENTILOOP_COMPACT_AT`	When to summarize a long conversation (default 150000, `0` = never)
`-h` / `-V`		Help / version

Some examples:

agentiloop -p openai -m gpt-4o-mini "summarize this repo"    # one question with a specific model
agentiloop -C ../other-repo --tui                            # work on another project
agentiloop --yes "run the tests and fix any failures"        # unattended, no prompts

Which model is used? The first one that applies wins:

-m on the command line
the model of the conversation you're continuing
the last model you used with this provider
the provider's default: claude-sonnet-5 for Anthropic, gpt-4o-mini for OpenAI, or the first model oMLX offers

Commands inside the chat

Type these at the prompt, in the TUI or the chat:

Command	What it does
`/model`	Show available models. `/model 3` or `/model <id>` switches (and is remembered)
`/sessions`	List your saved conversations, newest first
`/resume <n or id>`	Reopen one of them
`/clear`	Clear the conversation and start a new one
`/compact`	Summarize the conversation now to free up space
`/mcp`	Show connected MCP servers and their tools
`/help`	List these commands
`/exit`	Quit

Long conversations

Models can only read so much at once. When a conversation gets big (by default, when a request reaches 150,000 tokens), AgentiLoop asks the model to summarize it so far and carries on from the summary. You'll see a 📦 note when that happens. /compact does it on demand, and --compact-at 0 turns it off.

Adding tools with MCP (optional)

MCP servers give the agent extra tools, like database access, web search or your own scripts. List them in a JSON file:

~/.agentiloop/mcp.json: available in every project
.mcp.json in a project folder: only in that project. If a name appears in both files, this one wins.

The format is the same one Claude Code, Claude Desktop and Agent! use, so you can copy existing configs:

{ "mcpServers": {
    "Local":  { "command": "my-mcp-server", "args": ["--flag"], "env": { "API_KEY": "${MY_KEY}" } },
    "Remote": { "url": "https://example.com/mcp", "headers": { "Authorization": "Bearer ${TOKEN}" } }
} }

How it works:

Two kinds of server. A server with a command is a local program that AgentiLoop starts for you. A server with a url is reached over HTTP. Newer "Streamable HTTP" and older "SSE" servers both work; a URL ending in /sse (or "transport": "sse") selects the older style.
Tool names. Each server tool shows up for the agent as mcp_<server>_<tool>, e.g. mcp_Local_search.
Secrets. ${VAR} (or ${VAR:-default}) is filled in from your environment, so keys don't need to be in the file.
Permissions. MCP tools ask permission like any other tool, unless the server marks a tool as read-only.
Turning servers off. Add "disabled": true to skip one server, or run with --no-mcp to skip them all.
Safety. Plain http:// is only allowed for localhost; remote servers need https://.

Type /mcp to see which servers connected, their tools, and any errors.

Where things are saved

Everything lives in ~/.agentiloop/. Set AGENTILOOP_HOME to use a different folder, e.g. a separate test profile.

File	What's in it
`settings.json`	Remembered provider, models and options. Delete it to reset
`sessions/`	Your conversations, one file each
`mcp.json`	Your MCP servers
`history.txt`	Prompts you've typed (for ↑ / ↓)

Other environment variables

You'll rarely need these:

Variable	Use
`ANTHROPIC_BASE_URL`	Send Anthropic requests to a proxy or compatible server
`ANTHROPIC_OAUTH_TOKEN`	Alternative to `ANTHROPIC_API_KEY` for a Claude Code token
`OMLX_BASE_URL`, `OMLX_PORT`, `OMLX_API_KEY`	oMLX server address and key. They override `~/.omlx/settings.json`, which is read by default (port 8000 if neither is set)
`AGENTILOOP_LOG=debug` (or `RUST_LOG=debug`)	Show debug logs, including token usage per request

For developers

Build and test

go build -o agentiloop ./cmd/agentiloop   # → ./agentiloop
go test ./...                             # runs offline, no API keys needed

Cross-compiling needs nothing extra, for example GOOS=windows GOARCH=amd64 go build ./cmd/agentiloop.

The tests don't touch the network. The agent loop runs against a scripted fake model, and the streaming parsers against a local test server. The TUI is drawn on tcell's simulated screen. The MCP client is tested against a bundled example server over all three connection types (stdio, HTTP, SSE). You can run that server yourself to try MCP by hand:

go run ./examples/mcp-example-server --http 8791   # or --sse 8792, or --stdio

How the code is organized

The project is split into five packages, and each one builds on the ones before it:

Package	What's in it
`core`	The heart: the agent loop, messages, the tool and provider interfaces, permissions, sessions, summarizing
`provider`	Talks to the models: Anthropic, OpenAI-compatible servers, oMLX
`tools`	Built-in tools: `read_file`, `write_file`, `edit_file`, `list_dir`, `bash`
`mcp`	The MCP client, ported from Agent!'s Swift AgentMCP
`cmd/agentiloop`	The `agentiloop` program: options, chat, TUI, settings

core, provider, tools and mcp use only the Go standard library, so they can be embedded in other programs.

Dependencies

Everything that isn't the TUI or the command line is standard library. The agentiloop program adds:

Module	Used for
`github.com/spf13/pflag`	Command-line options
`github.com/peterh/liner`	The line-by-line chat
`github.com/gdamore/tcell/v2`, `github.com/mattn/go-runewidth`	The TUI
`github.com/yuin/goldmark`, `github.com/alecthomas/chroma/v2`	Markdown and code highlighting

Roadmap

License

PolyForm Noncommercial 1.0.0. You may use, change and share this software for personal and noncommercial purposes. Commercial use, including building or selling commercial versions, is reserved to AgentiLoop. Contact AgentiLoop for a commercial license.

Name		Name	Last commit message	Last commit date
.github		.github
cmd/agentiloop		cmd/agentiloop
core		core
docs/sponsors		docs/sponsors
examples/mcp-example-server		examples/mcp-example-server
mcp		mcp
provider		provider
tools		tools
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
README_de.md		README_de.md
README_es.md		README_es.md
README_fr.md		README_fr.md
README_ja.md		README_ja.md
README_ko.md		README_ko.md
README_ru.md		README_ru.md
README_zh.md		README_zh.md
agentiloop.txt		agentiloop.txt
go.mod		go.mod
go.sum		go.sum

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AgentiLoopGo

🎉 We just shipped release v0.0.2 for Mac, Windows and Linux!

💖 Sponsor AgentiLoop

🚀 New here? Up and running in 5 minutes

1. Download AgentiLoop

2. Get an API key

3. Save your settings in your shell profile

4. Check that it works

5. Your first session

What can it do? (tools)

The help command

Stuck? Quick fixes

Quick start

Step 1: Install

Step 2: Connect a model

Step 3: Run it

Three ways to use it

It remembers your setup

All options

Commands inside the chat

Long conversations

Adding tools with MCP (optional)

Where things are saved

Other environment variables

For developers

Build and test

How the code is organized

Dependencies

Roadmap

License

About

Releases

Sponsor this project

Packages

Contributors

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AgentiLoopGo

🎉 We just shipped release v0.0.2 for Mac, Windows and Linux!

💖 Sponsor AgentiLoop

🚀 New here? Up and running in 5 minutes

1. Download AgentiLoop

2. Get an API key

3. Save your settings in your shell profile

4. Check that it works

5. Your first session

What can it do? (tools)

The help command

Stuck? Quick fixes

Quick start

Step 1: Install

Step 2: Connect a model

Step 3: Run it

Three ways to use it

It remembers your setup

All options

Commands inside the chat

Long conversations

Adding tools with MCP (optional)

Where things are saved

Other environment variables

For developers

Build and test

How the code is organized

Dependencies

Roadmap

License

About

Topics

Resources

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Releases

Sponsor this project

Packages

Contributors

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