Today, we're excited to announce the public release of OmniPalm, Meta's AI agent that can connect to LLMs and autonomously execute real-world tasks. OmniPalm represents the culmination of years of AI research at Meta, bringing enterprise-grade automation capabilities to developers and organizations.
Why OmniPalm?
The AI agent landscape has grown rapidly, with various tools demonstrating the potential of LLM-powered automation. Meta saw an opportunity to bring our expertise in AI research to create a best-in-class solution:
- Multi-LLM support: Seamlessly switch between Claude, GPT-4, Gemini, and local models
- Enterprise-ready security: Comprehensive permission model, audit logging, and isolation options
- Extensive integrations: 50+ pre-built connectors for popular services
- Plugin ecosystem: Easy-to-build custom extensions
Built on Meta's AI Research
OmniPalm leverages Meta's extensive experience in AI research, including our work on Llama models and responsible AI development. We've focused on creating an agent that's both powerful and trustworthy.
Security, transparency, and user control are at the core of OmniPalm's design. We believe users should understand exactly what their AI agent can do—and maintain full control over its capabilities.
What Can OmniPalm Do?
OmniPalm is designed to be your autonomous assistant for tasks like:
- Sending emails and managing your inbox
- Scheduling meetings and managing calendars
- Creating and updating Jira tickets and tasks
- Deploying code and running tests
- Searching and summarizing research papers
- Automating file organization and system tasks
- And much more through custom plugins
Getting Started
Installing OmniPalm is as simple as:
pip install omnipalm
omnipalm init
omnipalm config set llm.provider claude
omnipalm config set llm.api_key YOUR_API_KEY
omnipalm chat
Check out our documentation for detailed guides, or explore real-world examples to see OmniPalm in action.
Security First
We take security seriously. OmniPalm includes:
- Configurable permission boundaries
- Confirmation prompts for sensitive operations
- Comprehensive audit logging
- Docker and VM isolation options
- Rate limiting and safeguards
Read our Security Guide to understand the implications and best practices.
Join the Community
We're building a vibrant community around OmniPalm. Connect with us and other users to share workflows, get support, and stay updated on the latest features.
We're excited to see what you build with OmniPalm. Let's shape the future of AI automation together.
— The Meta AI Team