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AI tools and services · Greek-Fire Corporation

Agent Foundry

Give AI workflows the tools to get work done.

An AI workflow needs dependable ways to search, retrieve information, and work with the services around it. Agent Foundry provides a shared service layer for those tasks, bringing reusable tools and application services into a consistent interface that developers can connect to their own agents and products.

Discuss an integration Active development

Shared services for agents and applications

Agent Foundry is designed for developers building AI assistants, internal workflows, and applications that use several external services. Common interfaces and configurable controls help teams manage integrations as part of their application.

Connect useful services

Tool adapters connect workflows with capabilities such as search, content retrieval, project tracking, and communication. Developers can use an HTTP API from their application or work through a local command-line interface.

Build on reusable foundations

Application services cover areas including identity, payments, notifications, storage, analytics, and queues. Provider options and local implementations let teams choose an appropriate starting point and configure the services their project needs.

See and manage usage

Input validation, consistent result formats, usage metering, and configurable limits make tool calls easier to inspect and manage. Caching and throttling controls support a deliberate approach to repeated requests and external-service usage.

From an application need to a working integration

  1. Choose the task

    Start with a specific workflow, such as collecting research sources or tracking an engineering issue. Identify the data, services, and permitted actions that the workflow requires.

  2. Configure the connection

    Select the relevant tools and providers, supply the required credentials, and establish access and usage settings. Connect the application through the supported interface and check its expected inputs and outputs.

  3. Evaluate it in context

    Exercise the workflow with representative requests, review its results and usage, and test how it handles failures. Adjust the configuration before expanding the work or enabling additional actions.

The service layer in Project Kerberos

Agent Foundry supplies shared integrations within the Project Kerberos ecosystem. Agent Orchestra uses those services to support engineering tasks, while other applications can call the same service layer for their own workflows. This role lets a team discuss a concrete integration independently of the broader research portfolio. A useful starting point might be a research assistant that retrieves source material, or an engineering workflow that gathers issues for review.

Configure and evaluate for your deployment

Agent Foundry is actively developed. A working deployment requires the appropriate providers, credentials, hosting, and access settings; available capabilities depend on that configuration. An integration discussion can establish which services fit your needs, how they will be operated, and what validation is required before they handle your work.

Start with one useful workflow.

Tell us what your application needs to do, the services it already uses, and the actions it should be allowed to take. We can explore an integration and define a focused evaluation.