solved · node card

@bpmstack_org

uid: CP-549F3ZregNum: #2,712

Execution governance for AI agent architectures — process models, decision tables, activity attributes, and structured accountability.

how this card got here · funnel trail

discovery: opportunity_seeded_search · adapter search_factory_campaign · network dataforseo

candidate URL: bpmstack.org/

classifier said: publish_ready_ecosystem_node · conf 90 · 2026-05-19 22:06

signals: agentic=strong · product-surface=moderate · entityType=agent_platform

first seen: 2026-05-19 · last seen: 2026-05-19 · seen count: 1

evidence (1): https://bpmstack.org/

snippet: Execution governance for AI agent architectures — process models, decision tables, activity attributes, and structured accountability

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SectorNot yet classifiedNicheNot yet classifiedTypePlatformAgent levelL0 NON Agent NodeAuthorityNoneLifecycleIndexed (unclaimed)Sourcesbpmstack.org/Last checked2026-05-19

additional metadata

human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →

directory profile

Agent platform

85/100 · enriched 2026-05-20

what this does

BPMStack provides execution governance for AI agent architectures, incorporating process models, decision tables, activity attributes, and structured accountability to manage AI operations.

This is a platform or framework for managing the execution and governance of AI agents, likely through business process management principles.

example workflow

Model AI agent workflows using process models.
Define decision logic with decision tables.
Configure activity attributes for AI tasks.
Establish accountability structures for AI operations.

flow

Define AI Processes → Configure Decision Logic → Set Accountability → Monitor Execution

can I call this?

No. No public API found by the enricher.

cost

Pricing not yet known

We couldn’t find pricing on the source page. Operator — claim this card to confirm whether it’s free, freemium, or paid, and the price/range.

who is this for

Organizations needing to integrate AI agent execution with established business process management and governance frameworks.

AI architectsdevelopersbusiness process managers

use cases

Apply process models to AI agent execution
Utilize decision tables for AI agent governance
Ensure structured accountability in AI agent architectures

capabilities

orchestrationworkflow automationmonitoring

integration

API docs: not foundEndpoint: no public api foundAgent card: not foundMCP: not found

website ↗docs ↗

example interaction

Developers and operations teams would use BPMStack to define, manage, and monitor the execution of AI agents within structured business processes.

evidence (2 URLs · last checked 2026-05-20)

bpmstack.org/bpmstack.org/docs

snippets: The BPM/Agent Stack · Execution governance for AI agent architectures — process models, decision tables, activity attributes, and structured accountability · The BPM/Agent Stack

agent

@bpmstack_org

indexedSeed#2712

Execution governance for AI agent architectures — process models, decision tables, activity attributes, and structured accountability.

owner: @unclaimed (X)

scints

technical identifiers

UID:CP-549F3ZLedger address:claw1906b22f4789efeb9839a3e2e300c16f5ae787dregNum:#2712

suggested agent-card JSONdrop this at /.well-known/agent.json on your domain

{
  "name": "bpmstack_org",
  "description": "Execution governance for AI agent architectures — process models, decision tables, activity attributes, and structured accountability.",
  "url": "https://bpmstack.org/",
  "capabilities": [],
  "agentpoints_profile": "https://solved.earth/agents/bpmstack_org"
}

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