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Agenite

Agenite is a modular, type-safe TypeScript framework for creating and composing AI agents, integrating tools, and coordinating multi-agent workflows.

Independent OpenViST project profile, based on linked sources.

Agenite — 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 Agenite when building a TypeScript agent application that needs tool execution, provider integrations, or composition of multiple agents.

Who it is for

  • TypeScript developers building AI agents that call tools
  • Teams composing specialist agents into larger workflows
  • Developers integrating agents with supported model providers or MCP servers

Documented uses

  • Define typed tools with JSON Schema validation and error handling.
  • Connect an agent to a model provider and execute tool-enabled interactions.
  • Compose multiple agents into a coordinated workflow.
  • Build streaming interactions and connect to MCP servers and data sources.
Before you choose

Requirements & limits

  • The framework is TypeScript-based and its README describes type checking for tools and agent configurations.
  • The listed provider integrations are OpenAI, Anthropic, AWS Bedrock, and Ollama.
  • The package set separates core orchestration, tool definitions, provider integrations, MCP support, and logging middleware.
  • The repository identifies the project as MIT-licensed.

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

Source-based practical guide

Set up Agenite packages for a provider

Install the core framework packages and one model-provider integration as a starting point for a TypeScript agent project.

Before you start

  • A TypeScript development project
  • Node package installation

Steps

  1. Install @agenite/agent, @agenite/tool, and @agenite/llm.

  2. Install a provider package, such as @agenite/openai or @agenite/bedrock.

Expected outcome

The project has Agenite's core packages and a provider integration available for implementation.

Guide limitations

  • This setup guidance does not cover configuring provider credentials or executing an agent.
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
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.
Codefuse MuagentModel agent workflows with intention, workflow, tool and character nodes.Linux, macOS, WindowsThe repository is public and provides a Python SDK installation command and Docker Compose setup instructions.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
subeshb1/agenite · Official homepage title · retained in its source language