LangChain vs MuleSoft Agent Fabric
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
MuleSoft Agent Fabric
Agent discovery and registry for cross-platform AI orchestration
| Metric | LangChain | MuleSoft Agent Fabric |
|---|---|---|
| GitHub Stars | 131.9K | — |
| Contributors | 469 | — |
| Last Commit | Mar 31, 2026 | — |
| Open Issues | 509 | — |
| License | open-source | commercial |
| Pricing | open-source | enterprise |
| Free Tier | Yes | No |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
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About LangChain
LangChain is the most widely adopted framework for building LLM-powered applications. It provides modular abstractions for chains, agents, memory, retrievers, and tools, enabling developers to compose complex pipelines from reusable components. Available in both Python and JavaScript/TypeScript, LangChain integrates with every major LLM provider, vector store, and data source. Its ecosystem includes LangSmith for observability and LangGraph for stateful, graph-based agent workflows.
View full listingAbout MuleSoft Agent Fabric
MuleSoft Agent Fabric provides an agent discovery and registry layer for orchestrating AI agents across platforms. It connects agents from Salesforce, third-party systems, and custom builds through MuleSoft's integration platform, enabling cross-platform agent communication and workflow coordination. Part of Salesforce's broader Agentforce ecosystem.
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