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DBOS

Just Use Postgres

DBOS makes workflows durable so applications and AI agents recover from failures, storing workflow state in an existing Postgres database with no separate orchestration server. DBOS Transact is an open-source durable execution library with Python, TypeScript, Go, Rust and Java versions, and integrates with Pydantic AI, LlamaIndex, the OpenAI Agents SDK and the Vercel AI SDK.

E2B

Open-source sandboxes for running AI-generated code.

E2B gives agents secure, isolated cloud micro-VMs to execute code and commands — the execution runtime layer of the harness, used by many coding and data-analysis agents.

4 pros · 3 cons

Elastic sandboxes for running AI-generated code.

Daytona provides secure, OCI-compatible sandbox 'computers' that spin up in under 90ms — with snapshots for persistent agent state. In 2026 it moved core development to a private codebase while continuing to run as a commercial platform.

3 pros · 4 cons

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

Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

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Sources

  1. DBOS website
  2. GitHub repo (Python)