Deploy agents without framework lock-in
LangSmith Deployment runs LangGraph agents. Connic runs your agents — any Python, any design — on a managed platform with connectors, observability, and evals included.
Feature Comparison
See how Connic stacks up against LangSmith Deployment across key capabilities.
Framework & Design
Framework-independent runtime
Connic runs any Python agent code. LangSmith Deployment is the managed runtime for LangGraph agents specifically.
YAML-based agent config
Connic defines agents declaratively in YAML with Python tools. LangGraph uses code-only graph construction.
Simpler mental model
Connic: YAML + Python functions. LangGraph: nodes, edges, checkpointers, state schemas.
MCP support
Both expose and consume MCP-compatible tools.
Deployment & Operations
Git-based deployments
Both support deploying from source. Connic uses push-to-deploy from your Git provider.
Managed hosting
Both offer managed cloud hosting. Connic includes it in every paid plan; LangSmith Deployment provides one free dev-sized deployment on the Plus tier.
Self-hosted / hybrid option
LangSmith Deployment offers hybrid and self-hosted on Enterprise. Connic offers self-hosted on Enterprise as well.
Environment management (dev / staging / prod)
Connic has built-in environments on every paid plan. LangGraph deployments are managed per-workspace.
Integrations & Triggers
Webhook triggers
Native in Connic. LangSmith Deployment exposes agents via its API — you wire webhooks yourself.
Cron scheduling
Both offer built-in cron scheduling.
Message queues (Kafka, SQS)
Native Kafka and SQS connectors in Connic. LangGraph requires you to build and maintain consumer workers.
Email triggers
Native email connector in Connic. LangGraph requires external forwarding and a custom handler.
Stripe event triggers
Native Stripe connector in Connic. LangGraph requires a webhook handler you build and host yourself.
Postgres connector
Native Postgres connector for triggers and actions in Connic. LangGraph requires custom integration code.
Observability & Evals
Tracing and run history
Both include tracing. LangSmith's is industry-leading for LangChain-family projects.
Included in base plan
Connic includes tracing on every tier. LangSmith Deployment plans bundle trace allowances (5k/10k base traces) with pay-as-you-go above.
Built-in judges / evals
Both ship eval capabilities. LangSmith has mature eval tooling; Connic's judge service is first-party.
Pricing
Flat tier pricing (not per-seat)
Connic: $0 / $390 / $2,499 / $7,999 flat. LangSmith Deployment is per-seat ($0 Developer, $39 Plus) plus usage.
Transparent overage rates
Connic publishes per-minute and per-run overage. LangSmith Deployment uses pay-as-you-go above trace and Fleet-run allowances.
Why teams choose Connic
Key advantages that make Connic the better choice for production AI agents.
The Bottom Line
LangSmith Deployment is the right home for LangGraph agents. Connic is the right home for any agent you want in production fast, with connectors and observability included.
Use Connic when
- You don't want to be locked to a specific agent framework
- You need enterprise connectors (Kafka, SQS, Stripe, Postgres, Email) day one
- You prefer YAML config over writing graph-construction code
- You want flat tier pricing rather than per-seat + usage
- You want one platform (deploy + observe + evaluate + store) on one bill
Use LangSmith Deployment when
- You're already committed to LangGraph and want the first-party managed runtime
- You need LangSmith's mature tracing and eval ecosystem for LangChain-family projects
- Your team uses LangGraph's Agent Studio IDE as part of its dev loop
- Per-seat billing fits your procurement better than flat plans
- You need hybrid or self-hosted deployment on day one (Enterprise tier)
Compare Connic to other platforms
Evaluating alternatives? These head-to-head comparisons cover the other platforms most teams consider.
Connic vs Mastra
TypeScript-exclusive agent framework with Mastra Server / Cloud. Strong TS ecosystem, but a language commitment.
Connic vs Inngest + AgentKit
Durable execution platform with an open-source agent framework on top. Great for JS/TS teams; an agent platform built from day one is a different shape.
Connic vs Agentuity
Purpose-built agent infrastructure with pure usage-based pricing. Flexible, but awkward for teams that need a predictable budget.
Connic vs Trigger.dev
Open-source, git-first background job platform now shipping AI Agents and Realtime support. Great if jobs are your core; agents need memory and evals out of the box.
Connic vs LangChain
Open-source LLM framework with 600+ integrations. Great building blocks, but requires self-hosting and DevOps work.
Connic vs AutoGen
Microsoft's multi-agent conversation framework. Powerful for research, but no production hosting included.