OmniAgent
An agent capable of self-evolving and dynamically hardening security
OmniAgent is an open-source self-evolving AI agent framework that autonomously improves its skills, memory, context understanding, and underlying brain model through continuous user interaction. Unlike static agents, it implements full-dimensional evolution across four areas: proactive memory that learns user preferences, real-time skill creation and repair, personalized context adaptation, and online reinforcement learning for its core decision-making model. The framework includes enterprise-grade safety features with four-layer dynamic security scanning, dynamic multi-agent collaboration (Sentinel for planning, Guardian for safety review), and a dual-layer reflexion architecture that converts failures into learning experiences.
Key Features
Use Cases
- 01Autonomous coding assistant that writes, executes, tests, and auto-corrects code until programs run successfully
- 02Multi-source research agent that searches the web, validates information across sources, and produces annotated reports
- 03System administration with safe shell command execution and automatic risk interception for destructive operations
- 04Multi-channel conversational AI accessible via CLI, web UI, Feishu, Discord, and Telegram with persistent session memory
- 05Self-improving personal assistant that learns user preferences and behavior patterns over time without manual retraining
- 06Complex task orchestration with dynamic concurrent tool execution and dependency resolution for reduced latency
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OmniAgent — FAQ
What is OmniAgent?+
OmniAgent is an open-source AI agent framework that continuously evolves its capabilities, memory, and decision-making model through user interaction. Unlike traditional agents with fixed behavior, it autonomously creates new skills, learns user preferences, and improves its underlying brain model via online reinforcement learning.
How do I install OmniAgent?+
Install OmniAgent using pip with 'pip install -e .' in the cloned repository, then run 'omniagent onboard' for interactive setup to configure your LLM provider and API key. Start the agent with 'omniagent chat' for terminal mode or 'omniagent serve' for the web UI.
Which LLM providers does OmniAgent support?+
OmniAgent supports DeepSeek, OpenAI, Anthropic Claude, Ollama, Gemini, OpenRouter, vLLM, SGLang, and custom providers. You can configure your preferred provider and model in the config.yaml file or during the onboarding process.
Do I need an API key to use OmniAgent?+
Yes, you need an API key from at least one supported LLM provider (DeepSeek, OpenAI, Anthropic, etc.) or a locally running model through Ollama. The onboard command will guide you through entering your API credentials during initial setup.
Is OmniAgent free to use?+
OmniAgent is free and open-source under the GPL-3.0 license. However, you will incur costs from your chosen LLM provider based on their API pricing, unless you use a local model through Ollama.
What Python version is required for OmniAgent?+
OmniAgent requires Python 3.11 or higher to run. Ensure your Python environment meets this requirement before installation.
How do I install OmniAgent?+
Open the source repository on GitHub and follow its README. OmniAgent is a agent — MCP Agents Market links you directly to the official repo.
Is OmniAgent free?+
OmniAgent is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.