Agent Forge is an open-source toolkit enabling developers to rapidly scaffold, configure, and deploy AI agents. It provides command-line generators, customizable configuration files for tool and API integrations, runtime orchestration of multi-agent workflows, and built-in deployment templates. With its modular architecture, users can extend agents with custom logic, connect to various data sources, and automate end-to-end tasks across domains.
AI Platforms & Frameworks
Development Environment
Workflow Automation
#AI agent development
#Chatbot Framework
#Docker-Integration
#Serverless Functions
#local testing
#CI/CD tools
#YAML configuration
#boilerplate reduction
#multi-agent system
#custom plugins
#Automated Workflows
#research assistant
#customer support bots
#scaffold commands
#logging and debugging
#modular architecture
#configuration-driven integration
#vector databases
#enhanced development speed
...
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Agent Forge
Agent Forge is an open-source toolkit enabling developers to rapidly scaffold, configure, and deploy AI agents. It provides command-line generators, customizable configuration files for tool and API integrations, runtime orchestration of multi-agent workflows, and built-in deployment templates. With its modular architecture, users can extend agents with custom logic, connect to various data sources, and automate end-to-end tasks across domains.
AI Platforms & Frameworks
Development Environment
Workflow Automation
#AI agent development
#Chatbot Framework
#Docker-Integration
#Serverless Functions
#local testing
#CI/CD tools
#YAML configuration
#boilerplate reduction
#multi-agent system
#custom plugins
#Automated Workflows
#research assistant
#customer support bots
#scaffold commands
#logging and debugging
#modular architecture
#configuration-driven integration
#vector databases
#enhanced development speed
...
Featured
What is Agent Forge?
Agent Forge streamlines the entire lifecycle of AI agent development by offering CLI scaffold commands to generate boilerplate code, conversation templates, and configuration settings. Developers can define agent roles, attach LLM providers, and integrate external tools such as vector databases, REST APIs, and custom plugins using YAML or JSON descriptors. The framework enables local execution, interactive testing, and packaging agents as Docker images or serverless functions for easy deployment. Built-in logging, environment profiles, and VCS hooks simplify debugging, collaboration, and CI/CD pipelines. This flexible architecture supports creating chatbots, autonomous research assistants, customer support bots, and automated data processing workflows with minimal setup.
Who will use Agent Forge?
- AI developers
- Machine learning engineers
- DevOps teams
- Chatbot designers
- Automation engineers
How to use the Agent Forge?
- Step1: Install Agent Forge via pip or clone the GitHub repo and set up your Python environment
- Step2: Scaffold a new agent project with `forge new
` - Step3: Edit the generated configuration file to define agent roles, LLM providers, and tool integrations
- Step4: Implement custom logic in the agent's handler modules
- Step5: Test the agent locally using `forge run` and iterate
- Step6: Package the agent into Docker or serverless artifacts with `forge build`
- Step7: Deploy to your cloud environment or on-premise infrastructure
Platform
- mac
- windows
- linux
Agent Forge's Core Features & Benefits
The Core Features
- CLI scaffolding
- Configuration-driven tool integration
- Multi-agent orchestration
- Local testing and logging
- Docker & serverless packaging
- Environment profiles
- VCS hooks
The Benefits
- Accelerates agent development
- Modular and extensible
- Streamlines deployment
- Supports CI/CD workflows
- Reduces boilerplate code
Agent Forge's Main Use Cases & Applications
- Customer support chatbots
- Autonomous research assistants
- Data pipeline automation
- Interactive marketing agents
- Internal IT helpdesk bots
FAQs of Agent Forge
Agent Forge Company Information
- FrostLogic AB
Agent Forge Reviews
5/5
Agent Forge's Main Competitors and alternatives?
- LangChain Agents
- AutoGPT
- Microsoft Semantic Kernel
- Haystack
- Rasa
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