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Calljmp vs Langfuse

Observability for LLM apps, not a runtime for agents
CalljmpAI agents as Code, on a managed backendLangfuseOpen Source Observability & Analytics for LLM Apps 🕵️‍♂️

Side by side

What it is
Calljmp:Calljmp provides a TypeScript-native, managed backend for building, deploying and scaling AI agents and workflows.
Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
Best for
Calljmp:Code-native AI agent backend
Langfuse:LLM observability & analytics
Who it’s for
Calljmp:SaaS product teams, technical founders, and developer agencies building AI features.
Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
Pricing
Calljmp:Freemium
Langfuse:Freemium
Plans
Calljmp:Solo $20 per month · Pro $99 per month
Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
Open source
Calljmp:—
Langfuse:Yes, 35,097 GitHub stars
Works with
Calljmp:GraphQL, gRPC, Databases
Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
DevHunt upvotes
Calljmp:35
Langfuse:89
Launched on DevHunt
Calljmp:Feb 2026
Langfuse:Jan 2023

Calljmp features

  • TypeScript-native agents. Write agents and workflows directly in TypeScript with full type safety.
  • Managed execution & scaling. Calljmp handles agent runtime, state, retries, timeouts and HITL without infrastructure.
  • Observability dashboard. Unified traces, logs, metrics and cost tracking for all agents.
  • Zero-config integrations. Connect to REST/GraphQL/gRPC APIs, databases and services as tools without setup.
  • Human-in-the-loop. Add approval flows and manual reviews into any agent workflow.
  • Memory & knowledge store. Persistent context and vector/hybrid search for documents, APIs and datasets.
Calljmp on DevHunt →Alternatives

Langfuse features

  • Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
  • Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
  • Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
  • Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
  • Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
  • Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
  • Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
  • Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.
Langfuse on DevHunt →Alternatives

Based on each tool's website and DevHunt data. Details may change; check the official sites.