| Name | solana-agent JSON |
| Version |
1.4.2
JSON |
| download |
| home_page | None |
| Summary | Build self-learning AI Agents |
| upload_time | 2025-02-18 09:37:14 |
| maintainer | None |
| docs_url | None |
| author | Bevan Hunt |
| requires_python | <4.0,>=3.9 |
| license | MIT |
| keywords |
ai
openai
ai agents
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# Solana Agent
[](https://pypi.org/project/solana-agent/)
Solana Agent is the first self-learning AI Agent framework.
## Why Solana Agent?
### 🧬 The First Self-Learning AI Agent
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!**
## Features
🔄 **Real-time AI Interactions**
- Streaming text-based conversations
- Real-time voice-to-voice conversations
🧠 **Memory System and Extensibility**
- Advanced AI memory combining conversational context, conversational facts, knowledge base, file search, 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 fact search powered by Zep
- Conversational message history using MongoDB (on-prem or hosted)
- Knowledge Base (KB) using Pinecone with reranking by Cohere - available globally or user-specific
- File uploading and searching using OpenAI like for PDFs
- Upload CSVs to be processed into summary reports and stored in the Knowledge Base (KB) using Gemini
- Comprehensive reasoning combining multiple data sources
## Why Choose Solana Agent Over LangChain?
### 🎯 Key Differentiators
🧠 **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
- 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
## Installation
You can install Solana Agent using pip:
```bash
pip install solana-agent
```
## Documentation
* Each public method has a docstring for real-time IDE hinting
## Production Apps
* [Solana Agent Copilot](https://ai.solana-agent.com) - Solana Token AI Copilot using streaming text conversations
* [CometHeart](https://cometheart.com) - AI Companion and Business Coach on mobile using voice-to-voice conversations
## Example Apps
* [Solana Agent Example App](https://github.com/truemagic-coder/solana-agent-app) - See as source of documentation
## Contributing
Contributions to Solana Agent are welcome! Please feel free to submit a Pull Request.
## License
This project is licensed under the MIT License - see the LICENSE file for details.
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