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Nexent

Nexent is a public, MIT-licensed Python framework and zero-code platform for generating AI agents. It unifies tools, skills, memory and orchestration, with documented constraints, feedback loops and control planes.

Independent OpenViST project profile, based on linked sources.

Nexent — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Nexent when an AI project needs a structured agent-building framework that brings together tools, skills, memory and orchestration, particularly when self-hosted deployment is appropriate.

Who it is for

  • Teams building agentic applications without manually creating complex orchestration flows.
  • Developers working with agentic RAG, MCP or multi-agent workflows.
  • Operators deploying an agent platform through Docker or Kubernetes.

Documented uses

  • Generate AI agents from reusable tools, skills and memory components.
  • Coordinate multi-agent workflows through orchestration capabilities.
  • Develop retrieval-oriented agent workflows using documented memory and agentic RAG scope.
  • Deploy the platform in Docker or Kubernetes environments.
Before you choose

Requirements & limits

The repository is public and MIT-licensed. Documented self-hosted paths use Docker or Kubernetes; no account or pricing requirement is provided.

  • Docker deployment lists Docker 24+ and Docker Compose v2+ as prerequisites.
  • Kubernetes deployment lists Kubernetes 1.24+ and Helm 3+ as prerequisites.
  • The documented minimum Docker resources are 4 CPU cores, 8 GiB memory and 40 GiB disk.
  • Offline image packages and internal-registry workflows are documented for deployment environments with separate image-loading or image-pushing needs.
  • MCP, agentic RAG and multi-agent workflow support are identified in the repository scope, but no concrete workflow configuration is supplied.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
NexentGenerate AI agents from reusable tools, skills and memory components.Cloud, Docker, Self-hosted, ServerThe repository is public and MIT-licensed. Documented self-hosted paths use Docker or Kubernetes; no account or pricing requirement is provided.
AgeniteDefine typed tools with JSON Schema validation and error handling.CLI
VeldraCreate an agent with a policy, tools, skills, knowledge base and reasoning method.Self-hostedThe documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
1 October 2026
Original website title
ModelEngine-Group/nexent · Official homepage title · retained in its source language
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