TrueFoundry Releases Open-Source TrueForge AI Agent Harness Claiming Up to 75% Cost Reduction

TrueFoundry debuts open-source AI agent harness, claiming up to 75% lower costs

Analysts say TrueForge could make the most sense for high-volume workloads and regulated industries, where model flexibility can lower token costs, while managed services may remain cheaper for smaller deployments. TrueFoundry has launched TrueForge, an open-source agent harness that lets developers build and run AI agents using models from different providers, positioning it as an alternative to Anthropic's Claude Managed Agents. The San Francisco-based enterprise AI infrastructure startup was founded in 2021 by a team that included former Meta engineers. It initially focused on software for deploying machine-learning models before expanding into generative AI infrastructure. An agent harness is the software layer that manages how an AI agent interacts with the underlying model and external tools. Anthropic's Claude Managed Agents provide this functionality as a hosted service for long-running agent workloads on the Claude Platform.

TrueFoundry's open source AI agent harness TrueForge boasts 30%-75% cheaper task completion than Claude Managed Agents

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 management is where TrueForge tries to cut waste TrueForge's architecture centers on context engineering -- controlling how much information gets sent back into the model on every step of an agent run. That includes delaying the loading of MCP tool schemas until they are needed, delegating isolated tasks to subagents, moving oversized tool results into files instead of stuffing them into the active context window, processing structured results through code, and automatically compacting long-running conversations. The documentation sets the default compaction threshold at 50,000 tokens, though it can be changed per agent. TrueForge also treats the sandbox differently from runtimes that keep an agent inside an isolated environment throughout its run. The core agent loop remains on the TrueForge server; a sandbox is provisioned as a tool only when the agent needs to execute code or work with files. TrueFoundry says that reduces unnecessary compute and allows a server to run more agents concurrently. The company argues those choices directly reduce model spending. How TrueForge compares to Claude Managed Agents and other leading orchestration harnesses Open source does not automatically mean governed For enterprise buyers, one of the most important distinctions is between TrueForge by itself and TrueForge connected to TrueFoundry's commercial AI Gateway. The open-source harness can run independently. But it does not magically inherit an organization's enterprise access policies on its own. "If you are using just the open source version of our agent harness, yes, you will need to put the right controls therein or in front of some other internal control system," Gutgutia told VentureBeat. When paired with TrueFoundry's gateway, the company says agents can inherit the identities and access controls already attached to models, MCP servers, tools, skills and other agents. Gutgutia described the gateway as the place where enterprise SSO, identity providers and granular permissions can be centrally enforced rather than reimplemented separately for every agent. That distinction is likely to be important for platform engineering teams evaluating the project. TrueForge is free software; TrueFoundry's governance layer is the commercial control plane around it. TrueFoundry says NetApp was a beta user of the harness and contributed requirements during development. Gutgutia said NetApp's IT organization has used the technology for incident response and faster ticket triage, while also exposing internal agents as self-service tools for developers. He also identified Automattic as an early user. Background on TrueFoundry and its business to date TrueFoundry was founded in 2021 to help enterprises deploy and operate machine-learning models, including Kubernetes-based model serving, training and infrastructure management. Its three co-founders -- Nikunj Bajaj, Abhishek Choudhary and Anuraag Gutgutia -- previously worked at Meta and WorldQuant, respectively. Gutgutia said the founders' common experience was working around mature systems where infrastructure and controls were designed to prevent costly mistakes -- an idea they believed would become increasingly important as AI moved into production inside large companies. As generative AI spread through enterprise software, TrueFoundry expanded from that MLOps foundation toward managing LLM applications and, increasingly, the models, tools and agents around them. By 2025, the company had made its AI Gateway a central part of the business: a layer sitting between enterprise applications and model providers that handles routing, authentication, access controls, observability, budgets, guardrails and failover. That evolution has been backed by roughly $21 million in outside financing. TrueFoundry raised a $19 million Series A in February 2025 led by Intel Capital, with participation from existing investors Eniac Ventures and Peak XV's Surge, as well as Jump Capital and angel investors including Gokul Rajaram and Mohit Aron. The round brought total financing to about $21 million, according to Intel Capital's announcement. At the time, TrueFoundry said its customer base had grown fourfold year over year and that it was managing more than 1,000 clusters for machine-learning workloads. The business has since become increasingly oriented around large-scale enterprise AI traffic. In VentureBeat's January 2026 coverage of TrueFoundry's TrueFailover launch, the company said it had more than 30 paid customers worldwide, had exceeded $1.5 million in annual recurring revenue during the prior year and was processing more than 10 billion requests per month through its AI Gateway. Customers and deployments cited by TrueFoundry have included NetApp, Siemens Healthineers, ResMed, Automation Anywhere, Nvidia, Games24x7 and others; Gutgutia also named NetApp, Siemens, Synopsys and Automation Anywhere among Fortune 1000 organizations working with the company in his interview with VentureBeat. TrueFoundry has also been expanding through acquisition. In June 2026 it acquired UK-based Seldon AI, a longtime MLOps vendor whose Seldon Core software has been used for production model serving and inference. As the acquisition shows, rather than treating traditional ML, LLMs, tools and agents as separate infrastructure categories, TrueFoundry is trying to put them behind a common deployment and governance layer. TrueForge extends that strategy upward into the agent runtime itself. Until now, TrueFoundry's commercial center of gravity has largely been the control plane underneath enterprise AI workloads -- deciding which users and applications can access which models and tools, routing requests, enforcing policy, monitoring spend and keeping services available. TrueForge gives the company an open-source runtime above that layer where agents can actually execute. Gutgutia described the relationship as complementary: organizations can run TrueForge independently or continue using other agent harnesses, while TrueFoundry's longer-term business opportunity is to provide the common governance and infrastructure underneath whichever agents enterprises choose.