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Corsair vs Langfuse
Langfuse provides observability for LLM apps, not integration plumbing.
CorsairThe open source integration layer for AI agents..png?width=96)
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Which to pick
Pick Corsair if you want…
- Open-source integration layer for AI agents
- Integrations with Gmail, Slack or Notion (on Corsair's list, not Langfuse's)
Pick Langfuse if you want…
- LLM observability & analytics
- Integrations with Python, TypeScript or Go (on Langfuse's list, not Corsair's)
Side by side
- What it is
- Corsair:Corsair is an open-source integration layer that lets AI agents and apps connect to 200+ third-party services via a unified API.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- Corsair:Open-source integration layer for AI agents
- Langfuse:LLM observability & analytics
- Who it’s for
- Corsair:Developers and teams building AI agents, internal tools, or SaaS products that need secure third-party API connections.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- Corsair:Freemium
- Langfuse:Freemium
- Plans
- Corsair:—
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- Corsair:Yes, 13,356 GitHub stars
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- Corsair:Gmail, Slack, Notion, GitHub, Airtable, Stripe, HubSpot, Linear
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
Corsair features
- Unified integration syntax. Expose all supported services through a single, consistent API regardless of each provider's OAuth flow.
- Self-hosted SDK. Run the full integration stack on your own infrastructure with no per-seat fees.
- Managed permissions. Set permission modes per integration; destructive actions require explicit user approval.
- Caching & rate-limit handling. Data is cached via webhooks and polling, reducing API calls and handling rate limits automatically.
- Open source plugins. Add or customize integrations by opening a PR or forking the TypeScript repo.
- MCP compatibility. Plugs directly into Model Context Protocol-compatible agent frameworks or can be exposed as an MCP server.
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.
Corsair vs Langfuse FAQ
Is Corsair or Langfuse free?+
Corsair has a free plan and paid plans. Langfuse has a free plan (Hobby); paid plans start at $29/month (Core).
Is Corsair or Langfuse open source?+
Yes, both are open source: Corsair (corsairdev/corsair on GitHub) and Langfuse (langfuse/langfuse on GitHub).
Do Corsair and Langfuse integrate with the same tools?+
Their integration lists don't overlap: Corsair lists Gmail, Slack, Notion, GitHub and 7 more; Langfuse lists Python, TypeScript, Go, Java and 10 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.