LangGraphFreemium
A low-level orchestration framework for building stateful, multi-step agent workflows with explicit control over state, branching, and human-in-the-loop steps.
AI / LLM comparison
LangGraph vs Salesforce Agentforce
Pricing, pros, cons, and ideal use cases — side by side.
Salesforce AgentforceEnterprise
Salesforce native agent platform, priced per action via Flex Credits — the default choice if your system of record is already Salesforce.
At a glance
| LangGraph | Salesforce Agentforce | |
|---|---|---|
| Pricing | FreemiumOpen-source framework, free to use. Paid tiers apply to the surrounding LangSmith platform, not the framework itself. | EnterpriseFlex Credits: $500 per 100,000 credits. Standard action = 20 credits ($0.10); voice action = 30 credits ($0.15). One action covers up to 10,000 tokens; larger actions bill as multiple. Alternative $2/conversation model. Salesforce Foundations includes 200,000 Flex Credits free on Enterprise Edition and above. |
| Category | AI / LLM | AI / LLM |
| Ideal for | Engineering teams building multi-step agentsEnterprise platform teamsWorkflows needing human-in-the-loop control | Enterprises already standardized on SalesforceService Cloud organizations automating case deflectionSales orgs adding agent assist to existing pipelinesCompanies that want agents without a separate integration project |
Pros & cons
LangGraph
Pros
- Explicit control over agent state and branching
- First-class human-in-the-loop and checkpointing
- Strong fit for durable, long-running workflows
- Large ecosystem and active development
Cons
- Requires real engineering investment
- Lower-level than no-code agent builders
- You own deployment and observability
Salesforce Agentforce
Pros
- Native access to Salesforce data with no integration layer
- Transparent per-action pricing after the Flex Credits change
- Free 200,000-credit allocation to pilot on Enterprise Edition and above
- Two pricing models so you can pick the cheaper one for your usage shape
- Inherits existing Salesforce permissions and audit trail
Cons
- The 10,000-token-per-action ceiling silently doubles costs on long actions
- Only makes sense if Salesforce is genuinely your system of record
- Costs scale with usage in a way seat-based buyers find hard to forecast
- Capability trails specialist CX vendors like Sierra and Decagon
Which should you choose?
LangGraph is the lighter-weight option (Freemium), while Salesforce Agentforce sits higher on the pricing ladder (Enterprise). LangGraph is built around engineering teams building multi-step agents; Salesforce Agentforce leans more toward enterprises already standardized on salesforce. Shortlist the one whose strengths line up with your biggest constraint.