Solana Agent is the first self-learning AI Agent framework.

Unlike traditional AI assistants that forget conversations after each session, Solana Agent maintains a rich, searchable memory system that grows smarter with every interaction.

Why This Matters:

• 📈 Continuous Learning: Evolves with every new interaction
• 🎯 Context-Aware: Recalls past interactions for more relevant responses
• 🔄 Self-Improving: Builds knowledge and improves reasoning automatically
• 🧠 Knowledge Base: Add domain-specific knowledge for better reasoning
• 🏢 File Context: Upload propriety files to be part of the conversation
• 🛡️ Secure: Secure and private memory and data storage

Experience Agentic IQ!

🔄 Real-time AI Interactions

• Streaming text-based conversations
• Real-time voice-to-voice conversations

🧠 Memory System and Extensibility

• Advanced AI memory combining conversational context, knowledge base, and parallel tool calling
• Create custom tools for extending the Agent's capabilities like further API integrations

🔍 Multi-Source Search and Reasoning

• Internet search via Perplexity
• X (Twitter) search using Grok
• Conversational memory powered by Zep
• Conversational message history using MongoDB (on-prem or hosted)
• Knowledge Base (KB) using Pinecone with reranking - available globally or user-specific
• Upload CSVs to be processed into summary reports and stored in the Knowledge Base (KB) using Gemini
• Comprehensive reasoning combining multiple data sources

🧠 Advanced Memory Architecture

• Built-in episodic memory vs LangChain's basic memory types
• Persistent cross-session knowledge retention
• Automatic self-learning from conversations
• Knowledge Base to add domain specific knowledge
• CSV file uploads to perform document context search

🏢 Enterprise Focus

• Production-ready out of the box in a few lines of code
• Enterprise-grade deployment options for all components and services
• Simple conventions over complex configurations

🛠️ Simplified Development

• No chain building required
• Python plain functions vs complex chaining
• Fewer moving parts equals more stable applications
• Smaller repo size by 1000x: Solana Agent @ ~500 LOC vs LangChain @ ~500,000 LOC

🚀 Performance

• Optimized for real-time streaming responses
• Built-in voice processing capabilities
• Multi-source search with automatic reasoning synthesis

You can install Solana Agent using pip:

pip install solana-agent

• Each public method has a docstring for real-time IDE hinting

• Solana Agent Copilot - Solana Token AI Copilot using streaming text conversations
• CometHeart - AI Companion and Business Coach on mobile using voice-to-voice conversations

• Solana Agent Example App - See as source of documentation

Contributions to Solana Agent are welcome! Please feel free to submit a Pull Request.

This project is licensed under the MIT License - see the LICENSE file for details.