<p align="center">
  <img src="https://github.com/user-attachments/assets/304ad402-5ddc-441b-a4b9-55ff9eec72be" alt="LocalAgent Logo" width="220"/>
</p>

<h1 align="center">LOCAL AGENT</h1>
<h3 align="center"><em>AI that stays where it belongs — on your machine.</em></h3>

<div align="center">
  
[![Go Report Card](https://goreportcard.com/badge/github.com/mudler/LocalAgent)](https://goreportcard.com/report/github.com/mudler/LocalAgent)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![GitHub stars](https://img.shields.io/github/stars/mudler/LocalAgent)](https://github.com/mudler/LocalAgent/stargazers)
[![GitHub issues](https://img.shields.io/github/issues/mudler/LocalAgent)](https://github.com/mudler/LocalAgent/issues)
  
</div>

## TAKE BACK CONTROL

**LocalAgent** is an AI platform that runs 100% on your hardware. No clouds. No data sharing. No compromises.

Built for those who value privacy as non-negotiable, LocalAgent lets you deploy intelligent agents that never phone home. Your data stays where you put it — period. Are you tired of agent wrappers to cloud APIs? me too.

## WHY LOCALAGENT?

- **✓ TRUE PRIVACY** — Everything runs on your hardware, nothing leaves your machine
- **✓ MODEL FREEDOM** — Works with local LLM formats (GGUF, GGML) you already have
- **✓ BUILD YOUR WAY** — Extensible architecture for custom agents with specialized skills
- **✓ SLICK INTERFACE** — Clean web UI for hassle-free agent interactions
- **✓ DEV-FRIENDLY** — Comprehensive REST API for seamless integration
- **✓ PLAYS WELL WITH OTHERS** — Optimized for [LocalAI](https://github.com/mudler/LocalAI)
- **✓ RUN ANYWHERE** — Linux, macOS, Windows — we've got you covered

## THE LOCAL ECOSYSTEM

LocalAgent is part of a trinity of tools designed to keep AI under your control:

- [**LocalAI**](https://github.com/mudler/LocalAI) — Run LLMs on your hardware
- [**LocalRAG**](https://github.com/mudler/LocalRAG) — Local Retrieval-Augmented Generation
- [**LocalAgent**](https://github.com/mudler/LocalAgent) — Deploy AI agents that respect your privacy

## Features

### Powerful WebUI

![Screenshot from 2025-03-11 22-50-24](https://github.com/user-attachments/assets/cd5228a3-4e67-4271-8fce-eccd229e6e58)
![Screenshot from 2025-03-11 22-50-06](https://github.com/user-attachments/assets/0a5ddb03-85ff-4995-8217-785d3249ffb1)
![Screenshot from 2025-03-11 22-49-56](https://github.com/user-attachments/assets/65af8ee6-ed2b-4e60-8906-ea12b28ecc58)


### Connectors ready-to-go

<p align="center">
  <img src="https://github.com/user-attachments/assets/4171072f-e4bf-4485-982b-55d55086f8fc" alt="Telegram Logo" width="60"/>
  <img src="https://github.com/user-attachments/assets/9235da84-0187-4f26-8482-32dcc55702ef" alt="Discord Logo" width="220"/>
  <img src="https://github.com/user-attachments/assets/a88c3d88-a387-4fb5-b513-22bdd5da7413" alt="Slack Logo" width="220"/>
  <img src="https://github.com/user-attachments/assets/d249cdf5-ab34-4ab1-afdf-b99e2db182d2" alt="IRC Logo" width="220"/>
  <img src="https://github.com/user-attachments/assets/52c852b0-4b50-4926-9fa0-aa50613ac622" alt="Github Logo" width="220"/>
</p>

## QUICK START

### One-Command Docker Setup

The fastest way to get everything running — LocalRAG, LocalAI, and LocalAgent pre-configured:

```bash
docker-compose up
```

> No API keys. No cloud subscriptions. No external dependencies. Just AI that works.

### Manual Launch

Run the binary and you're live:

```bash
./localagent
```

Access your agents at `http://localhost:3000`

### Environment Configuration

| Variable | What It Does |
|----------|--------------|
| `LOCALAGENT_MODEL` | Your go-to model |
| `LOCALAGENT_MULTIMODAL_MODEL` | Optional model for multimodal capabilities |
| `LOCALAGENT_LLM_API_URL` | OpenAI-compatible API server URL |
| `LOCALAGENT_API_KEY` | API authentication |
| `LOCALAGENT_TIMEOUT` | Request timeout settings |
| `LOCALAGENT_STATE_DIR` | Where state gets stored |
| `LOCALAGENT_LOCALRAG_URL` | LocalRAG connection |
| `LOCALAGENT_ENABLE_CONVERSATIONS_LOGGING` | Toggle conversation logs |
| `LOCALAGENT_API_KEYS` | A comma separated list of api keys used for authentication |

## INSTALLATION OPTIONS

### Pre-Built Binaries

Download ready-to-run binaries from the [Releases](https://github.com/mudler/LocalAgent/releases) page.

### Source Build

Requirements:
- Go 1.20+
- Git

```bash
# Clone repo
git clone https://github.com/mudler/LocalAgent.git
cd LocalAgent

# Build it
go build -o localagent

# Run it
./localagent
```

## CONNECTORS

Link your agents to the services you already use. Configuration examples below.

### GitHub Issues

```json
{
  "token": "YOUR_PAT_TOKEN",
  "repository": "repo-to-monitor",
  "owner": "repo-owner",
  "botUserName": "bot-username"
}
```

### Discord

After [creating your Discord bot](https://discordpy.readthedocs.io/en/stable/discord.html):

```json
{
  "token": "Bot YOUR_DISCORD_TOKEN",
  "defaultChannel": "OPTIONAL_CHANNEL_ID"
}
```
> Don't forget to enable "Message Content Intent" in Bot settings!

### Slack

Use the included `slack.yaml` manifest to create your app, then configure:

```json
{
  "botToken": "xoxb-your-bot-token",
  "appToken": "xapp-your-app-token"
}
```

### Telegram

Get a token from @botfather, then:

```json
{ 
  "token": "your-bot-father-token" 
}
```

### IRC

Connect to IRC networks:

```json
{
  "server": "irc.example.com",
  "port": "6667",
  "nickname": "LocalAgentBot",
  "channel": "#yourchannel",
  "alwaysReply": "false"
}
```

## REST API

### Agent Management

| Endpoint | Method | Description | Example |
|----------|--------|-------------|---------|
| `/agents` | GET | List all available agents | [Example](#get-all-agents) |
| `/status/:name` | GET | View agent status history | [Example](#get-agent-status) |
| `/create` | POST | Create a new agent | [Example](#create-agent) |
| `/delete/:name` | DELETE | Remove an agent | [Example](#delete-agent) |
| `/pause/:name` | PUT | Pause agent activities | [Example](#pause-agent) |
| `/start/:name` | PUT | Resume a paused agent | [Example](#start-agent) |
| `/settings/export/:name` | GET | Export agent config | [Example](#export-agent) |
| `/settings/import` | POST | Import agent config | [Example](#import-agent) |
| `/api/agent/:name/config` | GET | Get agent configuration | |
| `/api/agent/:name/config` | PUT | Update agent configuration | | 

### Chat Interactions

| Endpoint | Method | Description | Example |
|----------|--------|-------------|---------|
| `/chat/:name` | POST | Send message & get response | [Example](#send-message) |
| `/notify/:name` | GET | Send notification to agent | [Example](#notify-agent) |
| `/sse/:name` | GET | Real-time agent event stream | [Example](#agent-sse-stream) |

<details>
<summary><strong>Curl Examples</strong></summary>

#### Get All Agents
```bash
curl -X GET "http://localhost:3000/agents"
```

#### Get Agent Status
```bash
curl -X GET "http://localhost:3000/status/my-agent"
```

#### Create Agent
```bash
curl -X POST "http://localhost:3000/create" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "my-agent",
    "model": "gpt-4",
    "system_prompt": "You are an AI assistant.",
    "enable_kb": true,
    "enable_reasoning": true
  }'
```

#### Delete Agent
```bash
curl -X DELETE "http://localhost:3000/delete/my-agent"
```

#### Pause Agent
```bash
curl -X PUT "http://localhost:3000/pause/my-agent"
```

#### Start Agent
```bash
curl -X PUT "http://localhost:3000/start/my-agent"
```

#### Export Agent
```bash
curl -X GET "http://localhost:3000/settings/export/my-agent" --output my-agent.json
```

#### Import Agent
```bash
curl -X POST "http://localhost:3000/settings/import" \
  -F "file=@/path/to/my-agent.json"
```

#### Send Message
```bash
curl -X POST "http://localhost:3000/chat/my-agent" \
  -H "Content-Type: application/json" \
  -d '{"message": "Hello, how are you today?"}'
```

#### Notify Agent
```bash
curl -X GET "http://localhost:3000/notify/my-agent" \
  -d "message=Important notification"
```

#### Agent SSE Stream
```bash
curl -N -X GET "http://localhost:3000/sse/my-agent"
```
Note: For proper SSE handling, you should use a client that supports SSE natively.

</details>

### Agent Configuration Reference

```json
{
  "name": "my-agent",
  "model": "gpt-4",
  "multimodal_model": "gpt-4-vision",
  "hud": true,
  "standalone_job": false,
  "random_identity": false,
  "initiate_conversations": true,
  "identity_guidance": "You are a helpful assistant.",
  "periodic_runs": "0 * * * *",
  "permanent_goal": "Help users with their questions.",
  "enable_kb": true,
  "enable_reasoning": true,
  "kb_results": 5,
  "can_stop_itself": false,
  "system_prompt": "You are an AI assistant.",
  "long_term_memory": true,
  "summary_long_term_memory": false
}
```

## LICENSE

MIT License — See the [LICENSE](LICENSE) file for details.

---

<p align="center">
  <strong>LOCAL PROCESSING. GLOBAL THINKING.</strong><br>
  Made with ❤️ by <a href="https://github.com/mudler">mudler</a>
</p>
