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NEXENT
Zero-code platform for production-grade AI agents
MIT
ABOUT
Building production AI agents requires stitching together LLM APIs, tool integrations, memory systems, MCP servers, and orchestration logic — a steep learning curve that slows adoption. Nexent provides a zero-code platform that auto-generates agents from declarative specifications. Teams define goals and constraints, and Nexent produces the complete agent with tools, skills, memory, and multi-agent workflows, dramatically reducing development time while maintaining production-grade reliability.
INSTALL
pip install nexentINTEGRATION GUIDE
1. Generate a customer-facing support agent from a requirements document — Nexent auto-configures tools, MCP servers, and escalation workflows
2. Deploy a multi-agent research team where a coordinator agent delegates to specialized researcher, writer, and fact-checker agents
3. Create an internal knowledge agent connected to company docs, databases, and APIs — no manual tool registration needed
4. Build a RAG pipeline agent that ingests documents, generates embeddings, and responds to queries with source citations
5. Auto-generate a code review agent with skills for security scanning, performance analysis, and linting — defined in one declarative spec
TAGS
pythonagentsmulti-agentmcpragworkflowlow-codeorchestratorharness-engineering