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Mala vs WorkFabric

The Sealed Substrate vs The Context Pipeline

The Core Difference

WorkFabric excels at piping context to agents. Mala excels at proving what the agent did with it. WorkFabric is your 'Context Backbone'; Mala is your 'Legal Backbone'. You likely need both, but for regulated industries, context without proof is a liability.

Feature Comparison6 features
Feature
Mala
WorkFabric
Primary Focus
Auditability & Governance
Context Optimization
Output
Cryptographically Sealed Decision Trails
Optimized Context Vectors
Legal Admissibility
Designed for Court/Audit (Chain of Custody)
Standard Logging (Mutable)
Architecture
The 'Substrate' (Layer 0)
The 'Fabric' (Layer 1)
API & MCP Server
Full REST API + MCP Server for any framework
No public API
Framework Support
LangChain, CrewAI, Autogen, custom apps
Proprietary integrations only
Why Enterprise Teams Choose Mala

In regulated sectors like FinTech and Healthcare, 'optimizing context' isn't enough. You need to prove definitively—to an auditor or a judge—exactly why an AI made a specific decision. Mala provides a cryptographically sealed record of every agent interaction. While WorkFabric optimizes the *input* (context), Mala seals the *outcome* (decisions). We turn your agent logs into legal proof.

Frequently Asked Questions

Can I use WorkFabric and Mala together?

Absolutely. Use WorkFabric to ensure your agents are smart and context-aware. Use Mala to ensure their decisions are recorded, sealed, and defendable. They are complimentary layers in the enterprise AI stack.

Does Mala optimize context like WorkFabric?

Mala focuses on *decision provenance* rather than context retrieval optimization. We capture the context used, but our primary goal is to seal it for accountability, not just to improve retrieval accuracy.

The decision is clear
Start Sealing Your Decisions

Don't just monitor what happened. Prove why it happened with Mala's cryptographic accountability layer.