MeshFlow

The golden standard of multi-agent orchestration for regulated industries.

MeshFlow gives you typed state graphs, pre-built agents, GroupChat, governed workflows, an eval framework, SwarmTRM neural consensus, and the only agentic framework built from the ground up for HIPAA, SOX, GDPR, and PCI compliance.

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Why MeshFlow?

	MeshFlow	LangGraph	CrewAI	AutoGen
Typed state graphs	✅	✅	❌	❌
Built-in guardrails	✅	❌	❌	❌
HIPAA/SOX/GDPR profiles	✅	❌	❌	❌
Policy-as-code engine	✅	❌	❌	❌
Secret vault	✅	❌	❌	❌
Tenant isolation	✅	❌	❌	❌
Compliance snapshots	✅	❌	❌	❌
SLA tracking	✅	❌	❌	❌
Neural consensus (SwarmTRM)	✅	❌	❌	❌
A2A protocol	✅	❌	❌	❌
4-tier agent memory	✅	❌	❌	❌

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Install

pip install meshflow

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Hello, MeshFlow

import meshflow

agent = meshflow.Agent(
    name="assistant",
    role="You are a helpful assistant.",
)

result = agent.run("What is the capital of France?")
print(result.output)  # Paris

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Core Concepts

• Agent — the fundamental unit of work. Has a role, tools, memory, guardrails, and a provider.
• Team — multiple agents working together with a coordination pattern (supervised, parallel, sequential).
• StateGraph — typed, deterministic workflow graph with conditional edges and HITL checkpoints.
• ComplianceProfile — one-line policy application: compliance_profile("hipaa").
• StepRuntime — the governed execution kernel. Every agent step passes through 15 governance checks.
• EvalSuite — define, run, and regression-gate your agent quality in CI.

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Quick Start →