Is Langfuse a competitor to Beam?
Only at the edges. Langfuse traces production LLM applications; Beam records local coding-agent activity and scans skills and MCP configs. They overlap on agent-step and spend visibility.
Beam vs LANGFUSE
Beam vs Langfuse
Langfuse is an observability platform for production LLM applications: traces, evaluations and token spend, open source with cloud from $29 a month. It overlaps Beam only on agent-step and spend visibility. Beam is a local security tool for coding agents, flagging risky shell, file and network activity and scanning skills before you run them.
Beam vs Langfuse, side by side
Details below are drawn from a September 2026 review of the AI agent security market. Some figures are vendor-sourced or analyst estimates, and this is a fast-moving space — check with each vendor before you buy.
| Beam | Langfuse | |
|---|---|---|
| What it is | Local-first activity monitor and pre-run scanner for AI coding agents. Early prototype. | Open-source tracing and evaluation platform for LLM applications. |
| Monitoring | Shell commands, file changes, tool calls, network endpoints and browser actions from harnesses such as Claude Code, Codex and Cursor, normalised into local NDJSON with risk flags and evidence attached. | Traces, agent steps and token spend for production AI applications. |
| Skill / MCP scanning | Yes. SKILL.md files and MCP configurations are scanned before you run them, using 11 heuristic patterns plus an MCP version-pin check. | Not applicable — different category. |
| Blocking / enforcement | No. Beam observes and flags. It never allows or denies an action. | Not applicable — observability rather than endpoint enforcement. |
| Individual use | Runs locally for one person on one machine. Shared teams, fleet rollout and approvals are not built yet. | Self-host free, or cloud from $29/month. |
| Deployment | A local collector plus a local interface. No MDM package, no central console, no SSO, no SOC 2, no SIEM forwarding. | Self-hosted or cloud. |
| Source / licence | Not open source today. | Open source, with a hosted cloud tier. |
| Pricing | Not published. | Open source self-hosted; cloud from $29/month. |
Langfuse in numbers
As reported in our source research. Some figures are estimates.
- Cloud pricing
- From $29/month
- Source
- Open source
- Aimed at
- Production AI applications
Where Langfuse does more
- Mature, open source and cheap to start, with a real self-hosting story.
- Purpose-built for tracing and evaluating production LLM applications, which Beam does not do.
- A well-understood place to put token and cost data across an application.
Where Beam differs
- Beam watches a coding agent on a developer machine — shell commands, file writes, network endpoints — not an application's traces.
- Beam flags risky actions with evidence and scans skills and MCP configs before you run them.
- Beam keeps everything local with credentials redacted and no telemetry by default.
Beam’s current gaps
- Beam observes and flags. It has no blocking or enforcement, so it cannot stop a destructive command.
- There is no MDM package, central console, SSO or SOC 2 report, so it is not ready for a managed fleet rollout.
- Scanning is heuristic pattern matching. It produces false positives, misses novel phrasing, and is not a guarantee of safety.
- Beam is early and has no published pricing. Every tool on this page is further along in at least one dimension.
Which one fits
If you are debugging and evaluating an AI application you built, Langfuse is the right tool and Beam is not an alternative. Use Beam for the different question of what the coding agent on your machine is doing.
FAQ
What does Langfuse cost?
It is open source and self-hostable, with cloud plans starting at $29/month.
Can I use both?
Yes, for different jobs — Langfuse for the application you ship, Beam for the agent running on your laptop. Our research does not describe a direct integration.
See how Beam works
Beam is an early, local-first prototype. Read what it actually does today before comparing it further.