How we differ 02 · aamp vs Dify.ai
Alternative to Dify.aiDify.ai is a flexible open-source system for fast prototyping of LLM applications and simple RAG workflows. B2B teams, ERP systems, healthcare and finance need architectural maturity it does not deliver.
Hardware sandboxing, granular access control and full data sovereignty are what separate a prototyping tool from a governance-first control plane.
| Criterion | aamp | Dify.ai |
|---|---|---|
| Deployment model | Single Go binary / local SQLite | Docker Compose / managed SaaS cloud |
| Sovereignty (EU compliance) | 100% native air-gap, zero telemetry | Partial, requires complex configuration |
| Code isolation / sandbox | Firecracker microVM at hardware level | Standard Docker container |
| LLM security | Dual safety firewalls (inbound prompt guard / outbound PII) | Basic prompt-guard rules |
| Access control | Three-role RBAC with per-agent and per-knowledge-base grants | Basic organization role split |
| Pricing model | Execution-based, 0% token markup | Message models / credits / queries |
The presented information was prepared based on the analysis of publicly available information sources regarding Dify.ai.
Rather than maintaining a multi-container Docker stack with PostgreSQL and Redis, aamp runs as one Go binary against a local SQLite database. Installation takes seconds and fits on-premise environments.
aamp records the full agent decision cycle across 14 audit log domains directly on the local server, satisfying EU data-sovereignty requirements.
With air-gap mode and local models (vLLM, Ollama), aamp powers agents that analyse medical histories and e-referrals with a full data-privacy guarantee under GDPR.
Counterparty documents are parsed inside a microVM sandbox behind outbound PII filters. A hidden malicious prompt cannot infect the system or exfiltrate data.
Build agents that operate on internal company resources with explicit boundaries on which tools, knowledge bases and datasets they can access.