GH Repository · ModelEngine-Group
nexent
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.
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agent-appagentragmcpagentic-aiagentic-ragagentic-workflowaillmagentic-frameworkharnessmulti-agentharness-engineeringPython
Nexent is a zero-code platform for auto-generating AI agents, described as built on Harness Engineering principles with unified tools, skills, memory, and orchestration. Its topics indicate support for agentic RAG, workflows, MCP, and multi-agent setups.
You want to assemble production-oriented agents without writing code, with constraints and control planes handled by the platform.
Use it to
- Auto-generate agents from a description
- Build agentic RAG pipelines
- Orchestrate multi-agent workflows
- Attach MCP tools and shared memory
- Apply constraints and feedback loops to agent runs
For Teams building LLM agents without coding
- Role
- agent-app
- Language
- Python
- Licence
- MIT
- Forks
- 727
- Open issues
- 182
- Last push
- 2026-09-15
- Latest release
- v0.1.2 · 2025-06-06
- Skills shipped
- 3
topicsagentic-frameworkzero-coderagmulti-agentmcpllm