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Product coverage

Traces

Datasets

Evals

Optimise

Train

Serve

Overmind

covered:OTLP only
covered:full
covered:full
covered:full
covered:full
covered:full

LangSmith

covered:OTel-native
covered:annotation queues
covered:on + offline
partial:manual playground
not offered:export only
partial:proxy only
coveredpartialnot offered

LangSmith's loop ends at dataset export. Training, benchmarking, and serving the result happen in other products.

Which one fits you

Decision tree

Question 1 of 3, Is your agent in production, logging real runs?

Is your agent in production, logging real runs?

Two of the six verdicts here send you to LangSmith, and one of those is a self-hosting requirement Overmind cannot meet at all.

Product comparison

Overmind and LangSmith compared, 24 August 2026
OvermindLangSmith
Fine-tuningLoRA or full, on Qwen, Llama, and AntaresNone. Datasets export in OpenAI format
Model servingHosts your trained models, and proxies frontier onesProxies only. Gateway (beta) hosts nothing
Prompt improvementOptimiser ships scored diffs as PRsPlayground, versioned prompts, manual iteration
Proof before switchingBenchmark vs your production model, held-out setExperiments compare app versions on datasets
TracingOTLP ingest, scored on arrivalPy/TS/Go/Java SDKs, end-to-end OTel
Human reviewAnnotations that calibrate LLM judgesAnnotation queues, pairwise A/B, bulk actions
Self-hostingPlatform is cloud. Trained weights run anywhereWhole platform, on the Enterprise plan
PricingFree / Pro + credits. Ingest never credit-gatedFree (1 seat, 5k traces/mo); $39/seat/mo + usage

Common questions

Is Overmind a replacement for LangSmith?

Only if you want it to be. Overmind has its own tracing and evals, so it stands alone. Teams that like LangSmith keep it for observability and use Overmind for datasets, training, benchmarking, and serving.

Does LangSmith do fine-tuning?

No. As of August 2026, LangSmith exports datasets for training in other products, and its LLM Gateway proxies inference rather than hosting models. That handoff is where Overmind starts.

Do I need LangChain to use either?

No. LangSmith traces any framework via OpenTelemetry. Overmind has no framework at all: its SDKs instrument OpenAI, Anthropic, and Gemini clients directly, and any OTel exporter can send to it.

What do they cost?

LangSmith: free for one seat and 5,000 traces a month, then $39 per seat per month plus usage units; self-hosting is Enterprise-only. Overmind: Free and Pro subscriptions plus credits, and trace ingest never draws credits. As of August 2026.