Pick a platform by fit, not by language
Mastra is TypeScript-only by design. Connic is language-agnostic — bring Python today, other runtimes tomorrow, with first-party connectors (Kafka, SQS, Stripe, Postgres, Email) instead of framework glue you'd write yourself.
Feature Comparison
See how Connic stacks up against Mastra across key capabilities.
Language & Ecosystem
Supports Python
Connic's primary agent runtime is Python. Mastra is TypeScript-exclusive by design (their tagline: "Python trains, TypeScript ships").
Supports TypeScript / JavaScript
Mastra is TS-first with deep Next.js / Express / Hono integration. Connic's first-party SDK is Python.
Framework-independent
Connic runs any agent code. Mastra is both the framework and the deployment target — leaving Mastra means a rewrite.
Deployment & Operations
Managed hosting included
Connic includes managed hosting on every paid plan. Mastra Cloud requires the Teams tier ($250/team/mo) for production-grade limits.
Git-based deployments
Both support deploying from source.
Environment management (dev / staging / prod)
Connic has built-in environments on every paid plan. Mastra's environment model is per team.
Self-hosted option
Mastra is Apache 2.0 and fully self-hostable. Connic offers self-hosting on Enterprise.
Integrations & Triggers
Webhook triggers
Native in Connic. Mastra exposes agents through framework integrations (Next.js / Express / Hono) — you wire triggers yourself.
Cron scheduling
Native cron connector in Connic. Mastra has no first-party scheduler; you add one.
Message queues (Kafka, SQS)
First-party Kafka and SQS connectors in Connic. Mastra requires custom integration code.
Email triggers
Native email connector in Connic. Mastra requires external handling.
Stripe event triggers
Native Stripe connector in Connic. Mastra requires a webhook handler you host yourself.
Postgres connector
Native Postgres triggers and actions in Connic. Mastra integrates via framework database libraries.
Observability & Evals
Tracing and run history
Mastra Studio provides observability. Connic includes it in every paid plan.
Custom evals / judges
Both offer eval tooling. Mastra supports model-graded, rule-based, and statistical evals. Connic ships a first-party judge service.
Agent memory
Mastra has a dedicated Memory Gateway (separate paid surface). Connic includes agent memory in the platform.
Guardrails
Both support input/output guardrails for prompt injection and response sanitization.
Pricing
Per-plan (not per-team) pricing
Connic: $0 / $390 / $2,499 / $7,999 flat. Mastra Teams tier is $250 per team, which stacks as your org grows.
Memory billed as part of the platform
Connic bundles memory/knowledge into plan tiers. Mastra bills Memory Gateway separately (Starter free, Teams $250/team/mo).
Why teams choose Connic
Key advantages that make Connic the better choice for production AI agents.
The Bottom Line
Mastra is excellent if you're all-in on TypeScript. Connic is the right fit if you want a managed platform without committing to a single language or framework.
Use Connic when
- Your agent code is Python, or you want the option to change languages later
- You need enterprise connectors (Kafka, SQS, Stripe, Postgres, Email) without writing glue
- You want deployment, observability, evals, and memory on one bill
- You prefer flat plan pricing over per-team + metered add-ons
- You want environments, observability, and evals included rather than bolted on
Use Mastra when
- Your team is committed to TypeScript and wants deep framework integration (Next.js / Hono / Express)
- You value Apache 2.0 open source and full self-hostability out of the box
- You want to build on Mastra's Memory Gateway as a standalone component
- Your architecture already treats agents as TS modules inside a larger app
- You prefer a code-first framework over a YAML-driven platform
Compare Connic to other platforms
Evaluating alternatives? These head-to-head comparisons cover the other platforms most teams consider.
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.
Connic vs CrewAI
Role-based agent orchestration with YAML config. Similar approach, but Connic adds enterprise connectors and hosting.