emerging 8 vendors · 2 documents

Open-Source AI Harnesses

A framework for orchestrating tool-calling language model agents — routing, sandboxing, evaluating — that ships under an open license.

Reviewed 2026-09-01 by M. Foremski

Vendor rankings

8 vendors scored
#1
LangChain 19/33 pts
58%
#2
CrewAI 8/33 pts
24%
#3
Delta Projects 6/33 pts
18%
#4
BidSwitch 4/33 pts
12%
#5
AdKernel 4/33 pts
12%
#6
Smadex 3/33 pts
9%
#7
Adelphic (Viant) 2/33 pts
6%
#8
Kayzen 1/33 pts
3%

Scored on 5 universal + 6 category criteria. Evidenced = 3 pts, asserted = 1 pt, no claim = 0.

Claims matrix

Vendor Score Pricing transparencyIntegration breadthData portabilityCompliance postureDocumentation quality License obligationsTool-calling protocolSandbox & isolation modelEval harness maturityModel agnosticismSelf-host footprint
LangChain 58%
CrewAI 24%
Delta Projects 18%
BidSwitch 12%
AdKernel 12%
Smadex 9%
Adelphic (Viant) 6%
Kayzen 3%
evidenced (3 pts)   asserted (1 pt)   — no claim (0)   |   Universal criteria apply to all categories

Documents

2

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