TrueForge Wants to Unshackle Your AI Agents
A new open-source agent harness lets you swap AI models freely and claims up to 75% lower costs, if you run more of the stack yourself.
Building an AI agent today often means marrying yourself to one model provider and hoping the relationship stays affordable. TrueFoundry, a San Francisco enterprise infrastructure startup founded in 2021 by a team that included former Meta engineers, thinks that arrangement deserves a prenup. Its answer is TrueForge, an open-source agent harness aimed squarely at Anthropic's hosted Claude Managed Agents.
What an agent harness actually is
An agent harness is the plumbing. It is the software layer that manages how an AI agent talks to the underlying model and to external tools. Anthropic offers this as a hosted service on its Claude Platform for long-running agent jobs. TrueForge does the same thing, but with a twist. You can run it on your own infrastructure, and it is not tied to a single model vendor.
TrueForge supports OpenAI and Anthropic models plus more than 20 others. Developers can bring their own API keys and their own Model Context Protocol servers. MCP, if you have not met it, is an emerging standard for connecting AI models to tools and data sources. There is also a hosted version with usage-based pricing for those who would rather not manage the machinery.
The cost claim, with the fine print
TrueFoundry says TrueForge can cut total agent operating costs by 50%, though its own benchmark tells a more nuanced story. In a 14-task DevRev Enterprise-Bench test, TrueForge and Claude Managed Agents each finished about 11 tasks using Anthropic's Opus 4.8. TrueForge averaged $8.50 per run against $11.80 for Claude Managed Agents, roughly 30% cheaper.
The gap widened when TrueForge switched to the GLM-5.2 model. That setup averaged $2.90 per run while completing about the same number of tasks, which works out to around 75% less. The headline number, in other words, comes from using a cheaper model rather than from the harness alone. Worth noting: TrueFoundry ran the benchmark itself, so the figures have not been independently validated across larger production workloads.
Why this matters
The appeal here is control. Separating the agent runtime from the model provider means you can change models without rebuilding all your tool integrations and governance around them. "TrueForge gives enterprises more control and less vendor lock-in," said Pareekh Jain, CEO of Pareekh Consulting. He points to a practical pattern: route simple tasks to cheaper or open-source models, and save the expensive ones for jobs that truly need them.
For regulated industries, the separation could be especially handy. Lian Jye Su, chief analyst at Omdia, notes it lets companies plug in their own controls for budgets, access, and observability rather than leaning entirely on the model vendor's.
The catch is that freedom comes with chores. Run TrueForge yourself and you also maintain the runtime and make sure the environment meets your regulatory obligations. As Su puts it, you take on more of the stack.
When self-hosting pays off
Whether it saves money depends heavily on usage, Jain said. Costs climb as agents use larger contexts or repeatedly call models and tools, and self-hosting adds infrastructure and monitoring bills of its own. Su expects token consumption to be the biggest single cost, so self-hosting looks best when you can lean on lower-cost open-weight models and already have the engineering muscle to run agents at scale.
Jain agrees the math favors high-volume agents running continuously, where there is room to route work across models. For smaller or unpredictable workloads, a managed service may still win because the provider absorbs the operational overhead.
What's next
Could agent harnesses become an infrastructure category all their own, the way Kubernetes did for containers? Possibly, but not yet. Su said the technology lacks the standardization needed to become a fully model-agnostic layer, and the industry still needs agreement on how runtimes handle context, model routing, tool use, and security. Jain expects a category to emerge but doubts it will converge neatly, since vendors will keep adding features to stand out. Standards like MCP could still make models and tools more portable between platforms. For now, TrueForge is a bet that enterprises want the option to walk away from any one model, and are willing to do a little more housekeeping to keep it.