DataBassGit
AgentForge is an open-source, low-code framework designed for rapid development and testing of AI-powered autonomous agents and complex cognitive architectures.
At a Glance
- AI Developers
- Machine Learning Engineers
- Open Source Researchers
- SaaS Automation Teams
AI Tools by DataBassGit
(1)AgentForge
Low Code AI Agent Framework
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Products & Services
A low-code framework for rapid development, testing, and iteration of AI-powered autonomous agents and cognitive architectures.
An API/architecture for evaluating AI alignment, trustworthiness, and heuristic objectives in systems.
An open-source initiative to create a chain-of-thought (CoT) reasoning dataset for finetuning LLMs.
Market Position
A low-code, open-source alternative to frameworks like AutoGPT and BabyAGI, focusing on production-grade cognitive architectures and multi-agent orchestration.
Leadership
Founders
Alejandro Zambrano (Ansel Anselmi)
Computer Science Engineer. Technical Lead of AgentForge. Developer of Dignity and contributor to ACE Framework. Won LangChain x GPT Agents Hackathon.
John Smith
SaaS/Infosys Analyst. Co-founder of AgentForge. Involved in data synthesis and framework strategy.
Chad Phillips
Systems Engineer. Co-founder of AgentForge. Expertise in systems architecture and open-source AI projects.
Executive Team
Alejandro Zambrano
Technical Lead & Co-founder
Computer Science Engineer with focus on cognitive architectures and AGI frameworks.
John Smith
SaaS Analyst & Co-founder
Strategic analyst focused on SaaS development and data-driven AI systems.
Founding Story
Developed by a team of engineers and analysts to simplify the creation of intelligent, model-agnostic agents through a declarative system of 'Cogs' and flexible memory architectures.
Business Model
Revenue Model
Open-source (GPLv3). The project is self-funded and community-driven with no current fee-based revenue model reported.
Pricing Tiers
Full access to the framework, docs, and community support via GitHub and Discord.
Target Markets
- AI Developers
- Machine Learning Engineers
- Open Source Researchers
- SaaS Automation Teams
- Customer Service Automation
- AI Research Assistance
- Content Creation & Management
- Complex Process Automation
- Synthetic Data Generation