A managed runtime that doesn't pick your framework for you
LangSmith Deployment is the home for LangGraph agents. Connic runs your Python agent — whatever framework, whatever design — with first-party connectors, tracing, and evals on the same plan.
Feature Comparison
Connic vs LangSmith Deployment, capability by capability.
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
What you get on day one — without writing connectors, wiring observability, or running infrastructure.
The Bottom Line
LangSmith Deployment is the right home for LangGraph agents. Connic is the right home for any Python agent you want in production fast, with connectors and observability bundled.
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 monthly usage credit 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)
Still shortlisting? Here are the others.
Head-to-head comparisons against the platforms most teams weigh alongside Connic.
Connic vs Mastra
TypeScript-only agent framework with Mastra Server and Cloud. Deep TS integration — and a language lock-in if your stack ever changes.
Connic vs Inngest + AgentKit
Durable-execution platform with an open-source agent framework layered on. Strong fit for JS/TS teams — different shape from a runtime built for agents from day one.
Connic vs Agentuity
Purpose-built agent infrastructure on pure usage-based pricing. Flexible — but hard to forecast when finance needs a number.
Connic vs Trigger.dev
Open-source, git-first background-job platform now shipping AI Agents and Realtime. Strong if jobs are the core — thinner if your agents need memory, evals, and connectors out of the box.
Connic vs LangChain
Open-source LLM framework with 600+ integrations. Rich building blocks — you bring the hosting, scaling, and DevOps.
Connic vs AutoGen
Microsoft's multi-agent conversation framework. Strong for research and prototyping — no production hosting included.