Mycel vs LangGraph
A framework for building agents, versus a harness for running them as a business.
What LangGraph is good at
LangGraph provides primitives for stateful agent applications, including branching, persisted state, and human-in-the-loop interactions. It is useful when an engineering team wants to control the application's reasoning flow and integrate it into a wider product.
The actual difference
LangGraph is a building block; Mycel is software your firm operates. Mycel starts with client files, an accepted example, and firm methods rather than requiring you to design a graph. That makes the decision about fit and control, not a claim that a framework cannot support client work or approvals. Delivery follows your authorized rules. Automatic delivery is on by default for eligible work that passes its checks; turn it off or require review for an engagement. Checks do not guarantee correctness.
Side by side
| LangGraph | Mycel | |
|---|---|---|
| Shape | Library | Runtime + product |
| Client access | Design in your application | Client records and product access controls |
| History | Choose application records and persistence | Client work and method change history |
| Customer portal | Build or integrate one | Included |
| Scheduling | Design the application's scheduling | Configure recurring client work |
| Control flow | Define the graph | Configure a supported job and delivery rules |
Choose LangGraph
- The agent's reasoning structure is the interesting problem
- You're embedding an agent in an existing product
- You want full control of the graph
Choose Mycel
- The interesting problem is running a business, not the control flow
- You need multi-tenancy, audit and approvals without building them
- Your customers need somewhere to log in
Other comparisons: ChatGPT, Claude, or whichever tab is already open, Grok Bot and the AI-employee platforms, Hiring an account manager, Building it yourself, Zapier & n8n, Temporal, CrewAI & AutoGen