Maxim's open-source AI gateway Bifrost, developed in Go, provides an OpenAI-compatible interface that equips n8n workflows with automatic failover, semantic caching, and granular governance. Routing n…
Bifrost Gateway, an open-source project by Maxim, centralizes control for AI providers and MCP servers, offering both an AI gateway and an MCP gateway. It supports multiple connection protocols, authe…
Multi-agent systems fail in production between 41% and 87% of the time, with roughly 79% of failures traced to coordination and specification issues rather than model quality, according to data from M…
AI observability is the practice of recording detailed per-request data—prompt, model version, tokens, cost, latency, tool calls, and output quality—to diagnose why an AI system produced a particular …
Maxim's Bifrost project introduces an enterprise MCP gateway with built-in security, including OAuth 2.0, RBAC, and tool access control. The gateway ensures that LLM tool calls are not automatically e…
Maxim's Bifrost team argues that AI governance must precede AI gateway deployment. The company's platform enforces organizational decisions about model access, data handling, and budget allocation, tu…
Bifrost, an open-source tool from Maxim, introduces MCP Tool Groups to solve the authorization and cost problems caused by uncurated tool access in MCP-based agent deployments, where a benchmark showe…
Multi-agent AI systems in production are failing due to distributed systems problems like deadlocks, not AI model quality, according to industry reports. LangChain's 2026 State of Agent Engineering su…
Bifrost, an open-source AI gateway written in Go, can handle thousands of concurrent LLM requests on Kubernetes with only 11 microseconds of overhead per request at 5,000 requests per second. The gate…