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Maxim AI (Bifrost)

Bifrost: open-source LLM, MCP and agent gateway.

Maxim AI builds Bifrost, an open-source (Apache-2.0) AI gateway written in Go that acts as an LLM gateway, MCP gateway and agent gateway. It exposes one OpenAI-compatible API across providers including OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure, Mistral, Groq and Ollama, with automatic failover, load balancing, semantic caching, virtual keys, budgets and an MCP 'Code Mode'. The project claims under 200 microseconds of overhead at 5k RPS. Enterprise deployments add clustering, guardrails, adaptive load balancing and private networking.

People

Serverless cloud built for AI and agentic compute.

Modal lets teams run inference, fine-tuning and arbitrary agent workloads as serverless Python without managing infrastructure — a common substrate for harness backends at scale.

4 pros · 4 cons

Durable execution for long-running agent workflows.

Temporal's durable execution engine is widely adopted to make agent pipelines reliable: state survives crashes, retries are automatic, and workflows run for minutes or months. A key piece of serious harness infrastructure.

$430M total · $300M Series D (Feb 2026) at $5B valuation

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Durable functions and workflows for AI agents.

Inngest runs agent logic as durable steps — queueing, retries, concurrency control and human-in-the-loop waits — without operating your own workflow infrastructure.

4 pros · 5 cons

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Built on · 1

Sources

  1. GitHub repository and README
  2. Bifrost product page