Agentic Index
Langfuse vs Maxim AI (2026)
Choose Langfuse for open source observability with free self hosting and choose Maxim AI for an end to end managed platform spanning simulation, evaluation, and a built in model gateway. Langfuse runs free on Hobby and 29 dollars a month on Core with the MIT core free to self host, while Maxim starts at 29 dollars a seat a month with a free developer tier and a 14 day trial. Maxim bundles more lifecycle surface per dollar for small teams; Langfuse offers more control and a much larger community.
| At a glance | Langfuse | Maxim AI |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Free Hobby (50K units/mo) · Core $29/mo · open source self host | From $29/seat/mo · free Developer tier + 14 day trial |
| Free / trial | Free Hobby plan, no card (50K units/mo, 2 users) | Free Developer tier (10,000 logs/month, 3 day retention). All plans include a 14 day free trial, no credit card. |
| Pricing confidence | public exact | public exact |
| Feature |
L
Langfuse
|
M
Maxim AI
|
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
No / Not documented | No / Not documented |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
No / Not documented | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
No / Not documented | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
L
Langfuse
|
M
Maxim AI
|
|---|---|---|
|
Entry price Lowest public entry point |
Free Hobby (50K units/mo) · Core $29/mo · open source self host | From $29/seat/mo · free Developer tier + 14 day trial |
|
Pricing confidence How public the numbers are |
Public — exact | Public — exact |
|
Billing Primary billing axis |
usage | Per seat subscription tiers, with log volume and retention caps rising by tier; Bifrost gateway usage and Enterprise are separate |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tierTrial
|
|
Buying motion Self-serve vs sales call |
Self-serve | Self-serve |
Choose Langfuse if
- Self hosting under MIT and community scale are your selection criteria
- Unlimited users on a flat 29 dollars a month beats per seat math for your team
- You want the observability substrate and will compose the rest yourself
Choose Maxim AI if
- Agent simulation before production is a first class requirement
- A built in gateway to a thousand plus models consolidates your stack
- You prefer one managed lifecycle platform over assembling components
Langfuse was acquired by ClickHouse in January 2026 and continues as an open source, self hostable platform under the MIT license. Buyers outside the ClickHouse ecosystem should weigh roadmap priorities accordingly.