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Agentforge

AgentForge is a GPL-3.0 Python low-code framework for defining, testing and iterating autonomous AI agents and multi-agent cognitive architectures. It combines configurable agents, YAML-based Cogs for workflow orchestration and branching, optional memory, persona files, prompt templates and integrations with hosted and local language-model providers.

Independent OpenViST project profile, based on linked sources.

Agentforge — 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 AgentForge when an AI-agent project needs configuration-driven orchestration, distinct agent roles, optional memory or multiple model backends. The project is especially relevant when developers want to move from a simple agent experiment to a reusable multi-agent architecture.

Who it is for

  • Python developers building autonomous AI agents.
  • Teams designing multi-agent workflows with specialized roles.
  • Builders who need configurable prompts, personas and optional agent memory.
  • Developers combining hosted LLM APIs with local models through Ollama or LM Studio.

Documented uses

  • Define agents with YAML prompt and configuration files.
  • Compose reusable multi-agent workflows and branching logic with Cogs.
  • Add contextual memory to agents and workflows.
  • Assign different hosted or local LLM providers to different agents.
  • Edit prompts during development without restarting the system.
Before you choose

Requirements & limits

The repository is public and the project is licensed under GNU GPL v3.0. The documentation describes CLI and self-hosted use. The supplied material does not specify pricing, account requirements, service availability or hardware requirements.

  • Python is the documented implementation language.
  • Cogs provide the main composition layer for multi-agent workflows, branching and memory.
  • Agents can use different LLMs, including OpenAI, Google Gemini, Anthropic Claude, Ollama and LM Studio integrations.
  • The quickstart includes a no-credential debug smoke test, while a separate guide covers a first real model run.
  • The exact provider configuration, supported models and local execution requirements require review of the project documentation.

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
AgentforgeDefine agents with YAML prompt and configuration files.CLI, Self-hosted, ServerThe repository is public and the project is licensed under GNU GPL v3.0. The documentation describes CLI and self-hosted use. The supplied material does not specify pricing, account requirements, service availability or hardware 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.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
3 October 2026
Original website title
DataBassGit/AgentForge · Official homepage title · retained in its source language
How we review sourcesSuggest a correction