NVIDIA, Google, IBM, Anthropic release agent tools: speeds dev

Four major vendors published open, production-focused agent tooling this week. Anthropic released Bloom, an open-source pipeline for automated behavioral evaluations of frontier models (Dec 21, 2025). IBM Research launched CUGA on Hugging Face as an Apache-2.0, configurable agent framework focused on reliability and recovery (Dec 15, 2025). Google introduced the Agent Development Kit (ADK) for TypeScript — a code-first SDK and CLI for building and deploying agents (Dec 17, 2025). NVIDIA announced Nemotron 3 with Nano (≈30B), Super (≈100B) and Ultra (≈500B) model sizes, plus libraries for efficient multi-agent systems (Dec 15, 2025).

Bloom generates targeted evaluation suites and was validated across 16 frontier models using 100-rollout suites to quantify behavior elicitation. CUGA exposes tool registries, OpenAPI and MCP integrations, and Langflow widgets to compose recoverable planners and executors. Google ADK provides TypeScript bindings, a CLI, and runtime patterns for agent state, tools, and observability. NVIDIA says Nemotron 3 can deliver up to 4x throughput gains and supports a 1M-token context for long-horizon reasoning.

What’s next: expect faster prototyping, more reproducible safety testing, and a rise in multi-agent experiments. Engineering teams should plan for agent observability, tool-level access controls, and performance testing with long-context workloads before production rollouts.

Why It Matters

• Faster delivery: Google ADK’s code-first TypeScript SDK and CLI enable standard CI/CD for agent code, shortening time-to-production.
• Automated safety testing: Anthropic’s Bloom builds targeted eval suites (16 models, 100-rollout suites), cutting manual testing and improving detection of misaligned behaviors.
• Operational resilience: IBM’s CUGA adds configurable recovery, tool registries and OpenAPI/MCP integrations to make planners and executors more robust and easier to integrate.
• Lower inference cost at scale: NVIDIA’s Nemotron 3 family (Nano/Super/Ultra) targets up to 4x throughput gains and a 1M-token context, reducing compute per agent for scaled multi-agent deployments.