Quick Answer
Raindrop Workshop vs LangSmith vs Braintrust vs Helicone (May 2026)
Raindrop Workshop vs LangSmith vs Braintrust vs Helicone (May 2026)
Raindrop Workshop launched May 14, 2026 as the first MIT-licensed local-first AI agent debugger with a self-healing eval loop. Here’s how it stacks against LangSmith, Braintrust, and Helicone — the three incumbents in agent observability.
Last verified: May 15, 2026
TL;DR
| Pick | When |
|---|---|
| Raindrop Workshop | Local-first, privacy-sensitive, free OSS, self-healing |
| LangSmith | LangChain/LangGraph stack, dataset-driven prompts |
| Braintrust | Eval-heavy workflows, strong dataset management |
| Helicone | Cost-tracking and analytics-first observability |
Side-by-side
| Raindrop Workshop | LangSmith | Braintrust | Helicone | |
|---|---|---|---|---|
| Launched | May 14, 2026 | 2023 | 2023 | 2023 |
| License | MIT (OSS) | Proprietary | Proprietary | OSS core |
| Data location | Local SQLite | Cloud | Cloud | Self-host or cloud |
| Free tier | Fully free, unlimited | 5K traces/mo | 1K traces/mo | 10K req/mo |
| Paid pricing | Hosted addon TBA | $39+/user/mo | $249+/team/mo | Usage-based |
| Tracing depth | Per-token, per-tool | Per-token, per-tool | Per-token, per-tool | Per-request mostly |
| Replay with edits | ✅ | ✅ | ✅ | 🟡 limited |
| Eval datasets | 🟡 via self-heal | ✅ | ✅ Best in class | 🟡 |
| Self-healing loop | ✅ Native | ❌ | ❌ | ❌ |
| Framework support | OpenAI, Anthropic, LangChain, LlamaIndex, CrewAI, Vercel AI SDK | LangChain-native, others | OpenAI, Anthropic, others | OpenAI-native, others |
| Coding-agent support | Claude Code, Cursor, Codex, OpenCode, Devin | Limited | Limited | Limited |
| Languages | TS, Python, Rust, Go | TS, Python | TS, Python | TS, Python |
| Best for | Local debug, privacy, OSS | LangChain teams | Eval-driven | Cost + analytics |
What each one is best at
Raindrop Workshop (May 14, 2026 launch)
- Local-first: traces never leave your machine unless you opt in.
- MIT open source: install with a one-line shell command; data lives in a single SQLite file at
localhost:5899. - Self-healing eval loop: a coding agent reads Workshop’s traces, writes evaluations against your code, and autonomously fixes broken behavior.
- Coding-agent first: native integrations for Claude Code, Cursor, Codex, OpenCode, and Devin.
LangSmith
- LangChain/LangGraph-native: zero-config tracing if you’re already on the LangChain stack.
- Dataset versioning and A/B prompt testing added in 2026.
- OpenTelemetry export for cross-tool observability.
- Team features: SSO, RBAC, audit logs.
Braintrust
- Dataset management is the best in this group — versioned, branchable, with ground-truth labels.
- Eval-driven workflows: build → eval → ship, all in one platform.
- Strong cross-model A/B testing: compare Opus 4.7 vs GPT-5.5 vs Gemini 3.1 Pro on your data.
- Heavyweight for serious LLM ops teams.
Helicone
- Cost-tracking by tag — best-in-class spend analytics.
- Drop-in proxy or async logging — minimal code changes.
- Open source core (Apache 2.0) — self-host if you want.
- Lighter on agent trace replay — better for single-LLM-call analytics than multi-step agents.
Pricing in May 2026
| Tier | Workshop | LangSmith | Braintrust | Helicone |
|---|---|---|---|---|
| Free | Unlimited (local) | 5K traces/mo | 1K traces/mo | 10K req/mo |
| Solo/Starter | $0 | $39/user/mo | n/a | Usage-based |
| Team | TBA | $99/user/mo | $249/team/mo | $50+/mo |
| Enterprise | TBA | Custom | Custom | Custom |
For solo devs and small teams: Workshop wins on cost outright. For production cross-team observability with SSO and SOC 2: LangSmith or Braintrust still required.
How most production teams stack them
The “single best tool” frame is wrong. By May 2026 most serious teams run:
- Workshop locally during dev — fast, private, self-heal loop.
- LangSmith or Braintrust in CI / staging / prod — cross-team observability and dataset management.
- Helicone in proxy mode — for cost tracking across all model calls.
Which to pick if you can only have one
Pick Workshop if
- You’re a solo dev or small team (≤5 engineers).
- Privacy or compliance requires local-only traces.
- You want the self-healing eval loop with Claude Code or Cursor.
- Budget = $0.
Pick LangSmith if
- You’re on LangChain or LangGraph.
- You need dataset versioning and prompt A/B testing in one UI.
- You want OpenTelemetry export to your existing observability stack.
- You can pay $39+/user/mo.
Pick Braintrust if
- Evals are the center of your workflow.
- You compare 3+ frontier models on your own data regularly.
- You want the strongest dataset management UX.
- You’re at the $249+/team/mo budget point.
Pick Helicone if
- Cost-tracking is the #1 driver.
- You want a simple proxy setup with minimal code change.
- You prefer open-source-core that you can self-host.
- You’re more single-LLM-call than multi-step agent.
Risks and watch-outs
- Workshop is days old. Expect breaking changes through Workshop 0.2.
- LangSmith lock-in — if you go all-in on LangSmith dataset features, migration costs are real.
- Braintrust pricing scales fast — usage past free tier escalates quickly.
- Helicone proxy latency — small but measurable; check your p95 budget.
What to watch next
- Workshop 0.2 — multi-agent trace correlation, hosted dashboard.
- LangSmith Agentic — rumored autonomous-trace-fix feature later in 2026.
- Braintrust evals + dreaming — Anthropic’s dreaming feature could plug into Braintrust datasets.
- OpenTelemetry GenAI semconv 1.0 — standardizes traces; all four will support it.
Related reading
- What is Raindrop Workshop (May 2026)
- Anthropic Dreaming vs LangGraph Memory vs OpenAI Memory (May 2026)
- Cursor 3.4 Cloud vs Claude Code Cloud vs Codex Cloud (May 2026)
Sources: VentureBeat, github.com/raindrop-ai/workshop, langchain.com/langsmith, braintrust.dev, helicone.ai, Product Hunt — May 14, 2026.