SANTISMM Labs · Harness Engineering

Taxonomy of autonomous agents

Six orthogonal axes plus a multi-valued action surface. Each agent is a vector; comparing two agents is seeing which coordinates differ. Governance risk is a function of the coordinates, not the brand.

Data · Aug 2026 · v1.1OpenAI · Anthropic · Google · Microsoft · Amazon · SpaceXAI · Nous · independents

To place an autonomous agent you don't need its brand — you need its coordinates. This taxonomy encodes each agent along six orthogonal axes plus a multi-valued action surface, so comparing two systems reduces to spotting where their vectors differ, and governance risk becomes a function of those coordinates rather than the marketing. It maps 24 agents from every major lab plus the open-source frontier, keeps the harness layer deliberately apart, and reads the market's shape: which cells the labs occupy, where commercial products have crossed into persistent autonomy, and where the governance line falls.

Filter by axis

A
T
D
M
L
I
AgentVectorRisk
OpenClaw
Open source
A4T3D2M3L2I1
Critical
Hermes Agent
Nous Research
A4T3D2M3L2I1
Critical
Grok Bot
SpaceXAI
A4T3D2M3L1I1
Critical
Kiro Crew
Amazon
A4T3D1M2L2I1
Critical
Scout
Microsoft
A4T3D2M2L1I2
Critical
Gemini Spark
Google
A3T3D2M2L1I1
Critical
Daily Brief
Google
A3T3D1M2L1I1
Critical
Copilot Studio agents
Microsoft
A3T3D1M2L2I2
High
ChatGPT Workspace Agents
OpenAI
A3T3D1M2L1I2
High
OpenAI Presence agents
OpenAI
A3T3D1M2L1I2
High
Claude Cowork
Anthropic
A2T2D2M2L1I1
Medium
ChatGPT Work
OpenAI
A3T2D2M2L1I1
High
Copilot Cowork
Microsoft
A3T2D2M2L2I1
High
Manus
Manus AI
A3T2D2M2L2I1
High
Devin
Cognition
A3T2D1M2L1I1
High
Jules
Google
A3T2D1M2L1I1
High
Codex
OpenAI
A3T2D1M2L1I1
High
Claude Code
Anthropic
A3T2D1M2L1I1
High
Grok Build
SpaceXAI
A3T2D1M2L2I1
High
Amazon Q
Amazon
A2T2D1M2L1I1
Medium
Nova Act
Amazon
A2T2D2M1L1I1
Medium
Kiro
Amazon
A3T2D1M2L2I1
High
Sierra
Sierra
A3T3D1M2L2I2
High
Lindy
Lindy AI
A3T3D2M2L2I1
Critical

Harness layer — do not classify as agents

Antigravity · GoogleAgent SDK · AnthropicAgents SDK / AgentKit · OpenAIBedrock AgentCore · AmazonAgent 365 + Agent Framework · Microsoft

A harness is the scaffolding around the model: context, tools, memory, evaluation. Spark = Gemini 3.5 Flash (model) + Antigravity (harness). The distance between A3·M2 and A4·M3 is harness distance, not model distance.

Vector = A·T·D·M·L·I · Risk = band(max(1, A×T − 2 if I2)) · ▣ = own identity

Harness Engineering · santismm.com