#227 · Primary category: AI Agents & Automation

nexent

agent agentic-ai agentic-framework agentic-rag agentic-workflow ai harness harness-engineering llm mcp multi-agent rag

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Project last updated:08/29/26

GitHub Stars

5.8K

Forks

724

Contributors

237

License

MIT

Why we included this project

Teams that need agents to behave reliably in production, not just in a demo, will find a lot to like here. You describe an agent in plain language and Nexent assembles the pieces for you, handling tools, skills, memory, and the multi-step workflow, then wraps everything in guardrails, feedback loops, and a control plane to keep it on task. The zero-code angle helps non-specialists get started, but the Harness Engineering approach is the real substance: you get an opinionated framework rather than stitching LangChain-style chains together yourself. It deploys on Docker or Kubernetes in your own infrastructure, which matters if you cannot route sensitive work through a hosted service. For small teams, it is worth a look when you want production behavior over quick prototyping.

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