Tilde vs Langfuse

The short answer

Langfuse and Tilde are rarely either-or. Langfuse is an observability and evaluation platform. It records what your LLM application did, and helps you measure and improve it. Tilde is where your agents get secure access to tools and data, under rules your organisation sets.

Put simply, Langfuse helps you understand an agent's behaviour after the fact. Tilde controls what the agent can reach and do in the first place, and screens what goes in and out.

At a glance

Where Langfuse is strong

Langfuse is one of the most widely used tools for LLM observability. It traces LLM and non-LLM calls, groups multi-turn conversations into sessions, and shows agent runs as graphs and timelines. Prompt management, evaluations, datasets and experiments sit alongside the traces, so you can move from spotting a problem to testing a fix.

The core product is MIT licensed with no usage limits, and you can self-host it. It works with OpenTelemetry and more than a hundred libraries and frameworks. ClickHouse acquired Langfuse in January 2026 and has said the project stays open source and self-hostable.

Where Tilde is different

Observability tells you what happened. Tilde decides what's allowed to happen, protects the agent while it works, and gives it what it needs to do the job.

• Integrations without the plumbing. Create MCP tool servers from our catalog of SaaS providers, proxy an existing MCP server, or forward requests to your own API.
• Credentials you don't have to build. Tilde handles OAuth, API keys and custom authentication, including encryption and rotation.
• Security middleware on every agent. Tilde blocks jailbreak attempts and redacts personal information (PII) in agent inputs and outputs.
• Access scoped to the work. Workspaces and grants limit which people and agents can reach which resources, with single sign-on through your OIDC provider.
• Control on sensitive actions. Govern checks policy, asks a person to approve and records the decision before an action runs.
• Channels in a single click. Add WhatsApp, Slack, Discord, Telegram or GitHub to an agent without writing an adapter. ChatKit adds message history, sessions, webhooks, schedules and agent-to-agent delegation.
• Secrets kept out of the model. The secure browser signs in to websites with injected credentials the agent never sees.
• Voice when you need it. Build realtime voice agents on the same tools and permissions.
• One inventory. The Registry records every agent, who owns it and who can use it, whichever framework built it.
• Runs where your data lives. Use Tilde cloud, or deploy Tilde on-prem in your own infrastructure. Embedded engineers can help you set it up.

Using Langfuse and Tilde together

A common setup is to run agents with tools, security middleware and access from Tilde, and send traces to Langfuse. Langfuse shows you how the agent reasoned and performed. Tilde makes sure its tool calls used the right credentials, stayed within the permissions you set, and didn't leak personal data.

If you build agents with a framework that exports to Langfuse, such as Mastra or LangChain, keep that tracing as it is and add Tilde for the tools and access layer.

flowchart TB
  People["People on Slack, WhatsApp or voice"] --> Channels
  subgraph Tilde["Tilde: what the agent can do"]
    Channels["Channels"]
    Guard["Security middleware"]
    Tools["MCP tools and credentials"]
    Govern["Govern approvals"]
  end
  Channels --> Agent["Your agent"]
  Agent --> Guard
  Guard --> Tools
  Tools -.-> Govern
  Tools --> Systems["Your systems"]
  Agent -->|traces| Langfuse["Langfuse: what the agent did"]

Which should you choose?

• Choose Langfuse if you need to trace, evaluate and improve LLM applications, especially if open source and self-hosting matter to you.
• Choose Tilde if your agents need authenticated access to many systems, managed credentials, security middleware, approvals or channels, in Tilde cloud or on-prem.
• Use both if you run agents in production. They answer different questions: what did the agent do, and what is it allowed to do. Talk to our team if you'd like help setting it up.