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. Composio details come from its own pricing and documentation pages as of October 2026.
| Beam | Langfuse | |
|---|---|---|
| What it is | Local-first activity monitor, policy enforcement, and pre-run scanner for AI coding agents, with a Sentinel browser extension for AI chats. | 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, plus Beam Sentinel checks on supported AI chat sites before send. 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. Workspace admins can also block an MCP server for the org or one user. | Not applicable — different category. |
| Blocking / enforcement | Yes. Workspace owners and admins set observe, advisory, or enforce policy. Enforce denies matching tool calls on Claude Code and Codex PreToolUse hooks. The Sentinel Chrome extension pauses or blocks high-risk browser sends and can hold a send after redacting live secrets. | Not applicable — observability rather than endpoint enforcement. |
| Individual use | Free for up to 3 people, and Pro for one person at $8/month. Team workspaces add owner/admin roles, org baselines, stricter member overrides and a control plane. | Self-host free, or cloud from $29/month. |
| Deployment | Local collector plus a workspace dashboard. Apple and Windows MDM. Sentinel Chrome extension for browser AI chats. Licensed self-hosted control plane for teams that need it on their own infrastructure. | Self-hosted or cloud. |
| Source / licence | AGPL-3.0 for the local CLI and collector; the multi-user control plane is proprietary. | Open source, with a hosted cloud tier. |
| Pricing | Free for up to 3 people. Pro $8/month for one person. Team $20 per developer and $5 per browser seat a month, billed yearly. | 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
- Enforce is hook-based: a native deny is wired for Claude Code and Codex PreToolUse. Cursor, Copilot CLI and Gemini currently get a deny note, not a verified block.
- Missing, unreadable or expired cached policy allows the action. Beam is not a fail-closed kernel sandbox or an in-silicon watchdog.
- Scanning is heuristic pattern matching. It produces false positives, misses novel phrasing, and is not a guarantee of safety.
- There is no SOC 2 report and no default SIEM forwarder. Kernel isolation like OpenShell remains a different layer.
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.