
Digger
by Digger · Self-hostable Terraform CI/CD and background computers for AI agents
43.4 — BenchRank score out of 100
Screenshots of Digger
Homepage
Overview
Digger is self-hostable, open source infrastructure tooling. Its Terraform CI/CD orchestrator plans on every pull request, applies on merge, detects drift, and manages state with rollback, running inside your own CI so secrets stay in your environment. A second product, opencomputer, provides background computers for AI agents that hibernate when idle and wake when needed.
- Best for
- Platform teams running Terraform who want PR automation and drift detection inside their own CI
- Pricing
- No prices or plans are shown in the captured text; the site describes the tooling as open source and self-hostable.
- Runs on
- Self-hosted
Strengths and trade-offs
Strengths
- Runs in your CI, so secrets stay in your environment
- Plan on every PR, apply on merge, drift detection
- State management with rollback included
- Open source and self-hostable
Trade-offs
- Terraform only; no other IaC tooling mentioned
- You supply and maintain the CI system it runs in
- No pricing or plans published on the captured page
- The AI-agent computers product is described only in outline
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 0 out of 100
- API quality
- 55 out of 100
- Documentation
- 90 out of 100
- Agent friendliness
- 47 out of 100
- Changelog
- 0 out of 100
- Marketing site structure
- 70 out of 100
- Operational trust
- 40 out of 100
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
- Openness
- 85 out of 100
- Maintenance
- 100 out of 100
This doesn’t look right — report a problem with Digger’s score
Alternatives in Orchestration & Scheduling
Ranked 1
80.8 — BenchRank score out of 100Prefect
Prefect · Python-decorator workflow orchestration for data, ML and agents
Best for: Python data and ML teams that want scheduled, self-retrying pipelines without hosting a scheduler
Ranked 2
79.4 — BenchRank score out of 100Temporal
Temporal · Durable execution for workflows, AI agents and long-running jobs
Best for: Engineering teams running long workflows, pipelines or AI agents that must survive crashes and retries
Ranked 3
78 — BenchRank score out of 100Inngest
Inngest · Durable execution for background jobs, workflows and AI agents
Best for: Teams adding retries, flow control and step-level tracing to background jobs and AI agents.


