OmniPalm: Your AI Agent
Meta's autonomous assistant that connects to LLMs and executes real-world tasks.
Powerful AI automation for developers and enterprises.
An AI agent that runs on your machine and autonomously executes tasks
Built by Meta AI, OmniPalm brings powerful automation capabilities to developers and enterprises with cutting-edge AI technology.
LLM Integration
Connect to Claude, GPT-4, Gemini, or local models through Ollama and LM Studio. Switch providers without changing your workflows.
API Connections
Integrate with Gmail, Slack, Jira, Notion, and 50+ other services. Authenticate once and let OmniPalm handle the rest.
Browser Automation
Navigate websites, fill forms, extract data, and automate web-based workflows. Built on Playwright for reliable cross-browser support.
File Management
Read, write, organize, and search files on your local system. Process documents, manage downloads, and maintain your file structure.
Terminal Access
Execute shell commands, run scripts, manage processes, and interact with CLI tools. Full access to your development environment.
Local & Private
Everything runs on your machine. Your data stays local, your history is private, and you control what permissions to grant.
Built for developers and power users
Multi-LLM Support
Connect to Claude, GPT-4, Gemini, or run local models with Ollama and LM Studio. Switch between providers seamlessly.
Extensive Integrations
Facebook, Instagram, WhatsApp, Messenger, Threads, and the entire Meta ecosystem. Unified automation.
Autonomous Execution
Chain tasks together, run complex workflows, make decisions based on context, and remember previous interactions.
What can OmniPalm do for you?
Schedule meetings, send emails, manage calendar
Automate your daily communication and scheduling tasks. OmniPalm can draft emails, find meeting times that work for everyone, send calendar invites, and keep your inbox organized.
- Draft and send emails with context-aware responses
- Find optimal meeting times across multiple calendars
- Create meeting agendas and send summaries
> Schedule a team standup for tomorrow at 10am with
Alice, Bob, and Charlie. Include a Zoom link.
# OmniPalm checks calendars...
✓ All participants available tomorrow 10:00-10:30 AM
# Creating meeting...
✓ Created: "Team Standup"
📅 Tomorrow, 10:00 AM - 10:30 AM
📍 Zoom: https://zoom.us/j/123456789
👥 Alice, Bob, Charlie
✓ Calendar invites sent to all participantsDeploy code, run tests, manage issues, review PRs
Streamline your development workflow with automated deployments, test runs, and issue management. OmniPalm integrates with GitLab, Jira, and your CI/CD pipelines.
- Deploy to staging or production environments
- Run test suites and analyze results
- Create and update issues, review pull requests
> Deploy the feature/auth branch to staging after
running the test suite
# Pulling latest changes...
✓ Checked out feature/auth (3 commits ahead)
# Running tests...
✓ 156 tests passed
✓ Coverage: 87.3%
# Deploying to staging...
✓ Build successful
✓ Deployed to staging.example.com
📊 Deployment Summary:
Branch: feature/auth
Commit: a1b2c3d
URL: https://staging.example.comSearch papers, summarize content, track citations
Accelerate your research workflow by automatically searching academic databases, summarizing papers, and organizing your references.
- Search arXiv, Semantic Scholar, and PubMed
- Generate summaries and extract key findings
- Organize references and export to BibTeX
> Find the top 5 papers on transformer architectures
from 2024 and summarize their main contributions
# Searching arXiv and Semantic Scholar...
✓ Found 234 papers, ranking by citations
📄 Top Papers:
1. "Efficient Transformers: A Survey" (2.1k citations)
→ Comprehensive review of efficiency methods
2. "Flash Attention 2" (1.8k citations)
→ 2x faster attention computation
3. "Mixture of Experts Scaling" (1.5k citations)
→ Sparse MoE for 10x model capacity
✓ Full summary saved to ~/research/transformers-2024.md
✓ BibTeX exported to ~/research/refs.bibMonitor systems, run scripts, handle notifications
Set up automated workflows that monitor your systems, respond to events, and execute complex multi-step operations.
- Monitor server health and respond to alerts
- Execute scheduled tasks and cron jobs
- Process data pipelines and generate reports
> When CPU usage exceeds 80%, alert me on Slack
and generate a system report
# Setting up monitor...
✓ CPU monitor active (threshold: 80%)
# 2 hours later...
⚠️ Alert: CPU at 87% on prod-server-01
# Generating report...
📊 System Report:
CPU: 87% (web process: 45%, db: 32%)
Memory: 6.2GB / 8GB
Top processes: nginx, postgres, node
✓ Alert sent to #ops-alerts
✓ Report saved to ~/reports/cpu-alert-2024-01-15.mdHow OmniPalm Works
A clean, modular architecture that separates concerns and enables extensibility.
Installation & Setup
Get OmniPalm running in minutes with pip, or use Docker for isolated deployment.
Quick Start
# Install OmniPalm
pip install omnipalm
# Initialize configuration
omnipalm init
# Configure your LLM
omnipalm config set llm.provider claude
omnipalm config set llm.api_key YOUR_API_KEY
# Start the agent
omnipalm startSystem Requirements
- Python 3.10 or higher
- 4GB RAM minimum (8GB recommended)
- Linux, macOS, or Windows
Docker Installation
# Pull the official image
docker pull meta/omnipalm:latest
# Run with configuration volume
docker run -d \
--name omnipalm \
-v ~/.omnipalm:/root/.omnipalm \
-e OMNIPALM_LLM_API_KEY=YOUR_KEY \
meta/omnipalm:latest
# Interact with the agent
docker exec -it omnipalm omnipalm chatSecurity & Privacy Notice
OmniPalm runs with the permissions you grant it. Understand the security implications before enabling features:
- Runs on your local machine with your user permissions
- Can access files, terminal, and configured APIs
- Stores interaction history locally
- You control what integrations and permissions to enable
Seamless Meta ecosystem integration
Deep integration with Meta's family of apps and services for unified automation.
Ready to get started?
Get OmniPalm today and automate your workflows with Meta's AI technology.