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Open-Source AI Harnesses
A framework for orchestrating tool-calling language model agents — routing, sandboxing, evaluating — that ships under an open license.
Criteria
| Criterion | What it separates | Evidence |
|---|---|---|
| License obligations | MIT / Apache-2.0 / AGPL — what the license requires of a production deployment | doc · doc |
| Tool-calling protocol | MCP, function-calling, custom — and whether arbitrary tools plug in | doc · tested |
| Sandbox & isolation model | How agent execution is contained — containers, V8 isolates, process-level | doc · tested |
| Eval harness maturity | Built-in evaluation tooling — benchmarks, scorers, test fixtures | doc · tested |
| Model agnosticism | Number of model providers supported without a custom adapter | integration list · doc |
| Self-host footprint | What it takes to run — container image size, dependencies, minimum infra | doc · tested |