Agenta vs Langfuse

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Entry price: The same for both — $29/mo
Free plan: Both have one
Public API: Both have one
Higher Trust score: Agenta — 88 vs 80 for Langfuse
Best fit: Agenta: Teams that want shared, scheduled AI agents with approvals and an audit trail · Langfuse: Engineering teams running LLM apps or agents in production who need traces and cost tracking

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

AgentaOpen-source shared workspace where teams build agents and automations through chat, with tracing, evals and versioned configs.

LangfuseOpen-source LLM engineering platform for tracing agents, versioning prompts, running evals and tracking cost, hosted or self-hosted.

Side by side

Fact	Agenta	Langfuse
Category	AI Agents & Autonomous Workers	LLM Observability & Evaluation
Pricing model	Freemium	Freemium
Starts at	$29/mo	$29/mo
Public API	Yes	Yes
Trust score	88 / 100	80 / 100
Platforms	Web, API	Web, API
Company	Agentatech UG	Langfuse GmbH
Launched	2023	2023
Last verified	Oct 2, 2026	Oct 29, 2026

What our research says

Agenta

Agenta is in transition from an LLMOps tool to an agent workspace, which makes it interesting for teams that want shared agents with tracing and evaluation baked in, and open source underneath. If you only need prompt management and evals, check that the current product still fits that narrower job. The MIT licence and self-hosting option lower the lock-in risk.

Pros

MIT-licensed core that can be self-hosted with Docker
Free cloud tier plus a $29 Starter plan with no per-seat price
Human-approval controls for agent actions
Tracing, evaluations and version history for every agent

Cons

The product direction changed recently, so older tutorials may not match the interface
Free cloud tier is limited to two members, one project and daily credits on ten days a month
Runtime consumes credits even when you bring your own model key

Langfuse

Langfuse is a strong default for teams that want tracing, prompt versioning and evaluations in one open-source tool, with the option to keep data on their own infrastructure. Teams that only want a hosted logging proxy with no SDK work, or that need guaranteed enterprise SSO without paying for add-ons, may find simpler or more bundled options.

Pros

MIT-licensed core that can be self-hosted without usage limits
Covers tracing, prompt management, evaluation and dashboards in one product
Generous free cloud tier and unlimited users from the $29 Core plan
OpenTelemetry support and SDKs for Python and JavaScript

Cons

Usage above the included 100k units is billed extra, so busy apps pay more than the headline price
Free tier keeps only 30 days of data and two users
Enterprise SSO and RBAC require the $300 Teams add-on on Pro or the Enterprise plan

Which one fits

Choose Agenta if you need

Teams that want shared, scheduled AI agents with approvals and an audit trail
Developers who need tracing, evals and versioned agent configuration in one open-source stack
Companies wanting to self-host agents with their own models and credentials

Choose Langfuse if you need

Engineering teams running LLM apps or agents in production who need traces and cost tracking
Organisations that must self-host observability data for compliance
Teams that want prompts, datasets and evals tied to the same traces