An autonomous agent framework powered by LLMs that excels at solving complex tasks autonomously
Jiva is an innovative open-source framework designed to power autonomous AI agents with advanced capabilities.
Jiva represents a significant advancement in autonomous agent technology, combining the power of large language models (LLMs) with sophisticated memory systems, ethical decision-making capabilities, and temporal awareness.
Unlike traditional AI systems that require constant human guidance, Jiva agents can operate autonomously, generating, prioritizing, and executing tasks to achieve given goals. This makes Jiva ideal for a wide range of applications, from personal assistants to complex business process automation.
As an open-source framework, Jiva is continuously evolving with contributions from a growing community of developers and researchers. This collaborative approach ensures that Jiva remains at the cutting edge of AI agent technology.
Discover the powerful capabilities that make Jiva a leading autonomous agent framework
Jiva operates on a day/night cycle, allowing for a more human-like perception of time. This temporal awareness enables agents to plan activities, schedule tasks, and develop a sense of continuity that enhances their problem-solving capabilities.
Utilizes both short-term and long-term memory, powered by vector databases for efficient storage and retrieval. This sophisticated memory architecture allows agents to learn from past experiences, maintain context, and make more informed decisions.
Incorporates ethical principles into decision-making processes, ensuring responsible AI behavior. Jiva agents evaluate actions based on ethical considerations, helping to prevent harmful outcomes and align with human values.
Autonomously generates, prioritizes, and executes tasks to achieve given goals. Jiva's task management system enables agents to break down complex objectives into manageable steps, adapt to changing circumstances, and maintain progress toward goals.
Engages in cyclical learning and refinement of knowledge through regular "sleep" cycles. During these periods, agents process new information, consolidate memories, and optimize their understanding, leading to continuous improvement over time.
Modular design allows for easy integration of various input sensors. While currently supporting human input as the primary sensor, Jiva's architecture is designed to accommodate additional sensors, enabling agents to perceive and interact with their environment in more sophisticated ways.
Explore how Jiva can be applied to solve real-world problems
Jiva can serve as a sophisticated personal assistant, managing schedules, responding to emails, researching topics, and handling routine tasks with minimal human intervention.
Automate complex business workflows that require decision-making, data analysis, and coordination across multiple systems and stakeholders.
Assist in software development tasks such as code generation, debugging, documentation, and testing, accelerating the development process.
Conduct literature reviews, analyze data, generate hypotheses, and assist in research projects across various domains.
Provide intelligent, context-aware customer support that can handle complex inquiries, troubleshoot issues, and escalate when necessary.
Power autonomous systems in robotics, IoT, and other domains where intelligent decision-making and adaptation are required.
Understanding the technical foundation of Jiva
The central processing unit that coordinates all agent activities, including perception, reasoning, planning, and action selection.
Manages short-term working memory and long-term episodic and semantic memory, enabling the agent to learn from experience.
Implements the day/night cycle and provides time-awareness capabilities to the agent.
Handles task generation, prioritization, execution, and monitoring to achieve agent goals.
Evaluates actions and decisions against ethical principles to ensure responsible behavior.
Provides standardized interfaces for integrating various input sources and sensors.
We're working on a detailed architecture diagram to help you better understand Jiva's components and their interactions.
Start building with Jiva in just a few steps
# Install from PyPI
pip install jiva-agent
# Or clone the repository
git clone https://github.com/KarmaloopAI/Jiva.git
cd Jiva
pip install -e .
from jiva import Agent
# Initialize a new agent
agent = Agent(
name="Assistant",
llm_provider="openai",
api_key="your-api-key"
)
# Set a goal for the agent
agent.set_goal("Research and summarize the latest developments in AI")
# Start the agent
agent.run()
Comprehensive documentation is available to help you get started with Jiva and explore its full capabilities:
Join our growing community of developers and researchers working with Jiva:
Start creating powerful autonomous agents today