Agent Development
Agent Development is the central workspace for building, configuring, and managing AI agents. Agents are the core of Nexent—they understand your needs and execute tasks on your behalf.
Quick Navigation
This module contains the following four configuration pages:
| Page | Description |
|---|---|
| Model Configuration | Connect and manage AI models, including LLMs, embedding models, vision-language models, rerank models, and speech models (TTS and STT) |
| Knowledge Configuration | Create knowledge bases and upload documents in various formats, enabling agents to retrieve your private data |
| Memory Configuration | Configure the multi-level memory system for cross-conversation knowledge retention and personalized service |
| Agent Configuration | Create agents, configure collaborative agents, select tools, write prompts, then debug and publish |
Main Steps
- Configure Models – Add the AI models you need in Model Management
- Prepare Knowledge Bases – Create knowledge bases and upload relevant documents
- Configure Memory – Enable memory features so agents can remember important information
- Build the Agent – Create an agent, select tools and collaborative agents, write the business description
- Debug and Publish – Test the agent's performance, save when satisfied, and publish
Need Help?
If you encounter any issues, refer to our FAQ or ask in GitHub Discussions.