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Another day, another new AI agent harness is released. Only this time, it's one that aims to solve a growing enterprise problem as AI agents proliferate: enabling greater developer control of agents and tools, while reducing cost. TrueFoundry, a San Francisco B2B machine learning startup co-founded in 2021 by former Meta and Google engineers, has released its own custom TrueForge harness under the permissive MIT License on Github. Thus, it can be used with any of a developer (or their parent enterprise's) preferred AI models, forked, modified, self-hosted and incorporated into commercial products. The company states in a blog post that when it used TrueForge paired with the open source GLM-5.2 LLM to successfully complete 11 of 14 tasks on DevRev’s Enterprise-Bench — testing multi-step tool use across CRM, issue tracking, and document management systems — it cost 75% less than achieving the same results with Anthropic's Claude Managed Agents harness powered by Claude Opus 4.8 ($2.90 compared to $11.80). Using the same model in each harness, Opus 4.8, TrueFoundry still claims a cost savings of roughly 30% using TrueForge compared to Claude Managed Agents ($8.50 vs $11.80). Why is TrueFoundry giving this powerfully efficient harness away for free? "We’ve had this ask from a bunch of customers," said Anuraag Gutgutia, TrueFoundry’s co-founder and COO, in an exclusive interview with VentureBeat. "You have an ability where you bring in agents and MCPs — can we also get something where you can actually launch these managed agents? I think that is the need we are satisfying. It is not a replacement. People will use this alongside other harnesses, like the cloud-managed ones or the commercial-provider-managed ones, but this will serve as a way for people to use them in a vendor-neutral way and also at a lower cost.” Indeed, TrueFoundry already offers a paid "AI Gateway" for enterprises centrally controlling model and MCP access, credentials, permissions, budgets and observability. TrueForge, by contrast, handles what happens above that gateway: the loop that lets a model repeatedly reason, call tools, receive results and continue working until a task is complete. For enterprise developers, the practical proposition is that they can start locally with a single command and SQLite, then move the same agent harness into a shared deployment using Docker Compose or Helm with Postgres and Redis. TrueFoundry explicitly warns that the local configuration is intended only for use on a developer’s machine, not as an internet-facing production service. Gutgutia said the company ultimately wants its AI Gateway to become the common layer beneath whichever agents and harnesses an enterprise chooses. “There will be a set of companies that will use our harness as the way to launch managed agents,” he said, while others may continue using Claude, other open-source harnesses or internal systems. “But all that traffic should still be flowing through our gateway.” Context m…
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