LangGraph vs Omentir
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
LangGraph Agents | Omentir Agents | |
|---|---|---|
| Tagline | Stateful, graph-based agent orchestration from LangChain. | AI sales agent for automated, personalised LinkedIn outreach |
| Category | Agents | Agents |
| Pricing | Freemium· Free open-source; LangGraph Platform paid | Freemium· Basic $29/mo (1 account, 1 agent, 50 daily leads, 1 campaign) / Startup $59/mo (up to 3 accounts, 3 agents, unlimited leads & campaigns) / Enterprise custom (SSO, dedicated support, unlimited accounts) |
| Model | BYO (Claude / GPT / open) | Claude Opus 4.5 |
| Editorial score | 8.8 / 10 | — |
| Use cases | stateful agentshuman-in-loopproduction | Automated LinkedIn cold outreachICP-based lead scoringPersonalised connection request draftingFollow-up sequencing on LinkedInUnified reply inbox triageAgency lead-gen on behalf of clientsRecruiter sourcing outreachMCP-tool integration into a broader AI agentFounder-led sales prospecting |
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| Website | www.langchain.com | omentir.com |
Pick LangGraph if
- ✅ Reliable, debuggable agent graphs
- ✅ Built-in persistence + HITL
- ✅ Production-grade
- ✅ Tight LangSmith integration
Pick Omentir if
- ✅ Uses a current frontier model (Claude Opus 4.5) for message drafting rather than a cheap fallback
- ✅ MIT-licensed with full source on GitHub, so prompts and scoring logic are auditable and forkable
- ✅ Ships an MCP server plus Agent API so other assistants can drive outreach as a tool
- ✅ Collapses prospecting, sequencing, and inbox triage into a single interface instead of stitching three SaaS tools