Synth

Synth

Synth is a macOS workbench plus hosted compute for optimizing coding agents and long-horizon agent workflows.

72/100Safe BetFree · from $20.00/moFreemium

Pick Synth if you are hill-climbing a coding agent and have been burned by eval runs you cannot reproduce. Paired held-out evaluation and fail-closed evidence contracts make results defensible, and the Sidecar monitor in Stack's Goal mode means you stop reading every tool call on long runs. The setup cost is real: CLI, Python, and container work before anything useful appears, and Workshop is an Apple silicon macOS build. If you only need plain LLM observability with no optimization loop, LangSmith or Weights & Biases are easier to adopt; if you need governed prompt experiments inside a lakehouse, note that MLflow covers that ground.

Verified 20h ago · liveness 72/100 · cite: rightaichoice.com/tools/synth

Best for
  • Research engineers optimizing coding-agent prompts, contexts, and scaffolds
  • Teams running long-horizon sparse-reward agents that need auditable receipts
  • CLI- and SDK-comfortable groups wanting local-first work with optional hosted compute
  • Labs hill-climbing evals with GELO, GEPA, and benchmark-owned grading
Not ideal for
  • Non-technical users who want a no-code eval or observability dashboard
  • Beginners without prior experience building agent pipelines or running evals
  • Windows or Linux desktop users expecting a Workshop build for their platform
Visit Website

AdvancedIndividual research engineer: an afternoon to install the synth-ai SDK and CLI (0.23.1), authenticate, and get a first local run into Workshop; a day or two before GEPA or GELO produces a usable candidate. Team wiring hosted runs and GitHub Actions: roughly a week, mostly spent fitting your agent harness into a container and defining the grading contract. Local-only use with your own providerWeb · Desktop · API · CLI · PluginAPI availableVerified 20h ago
Pricing
Free · from $20.00/mo
FreemiumFree tier3 plans4 hidden costs
Learning curve
Advanced
Individual research engineer: an afternoon to install the synth-ai SDK and CLI (0.23.1), authenticate, and get a first local run into Workshop; a day or two before GEPA or GELO produces a usable candidate. Team wiring hosted runs and GitHub Actions: roughly a week, mostly spent fitting your agent harness into a container and defining the grading contract. Local-only use with your own provider
Runs on
WebDesktopAPICLIPlugin
API available · 9 integrations
Who it's for
Research engineer improving a coding agentTeam running a long-horizon agent in productionApplied research group with an open question
Live sentiment
Is Synth actually worth it?

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  • Real pros & cons from real users
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Skip it if

Skip Synth if you want a point-and-click eval or observability dashboard and have no appetite for CLI, Python, and container work, or if your team works on Windows or Linux desktops rather than Apple silicon Macs.

The 30-second take
Biggest gripe

Included usage is a weekly allowance ($10 on Free, $60 on Standard, $300 on Max) that renews every week rather than monthly, so a burst that exceeds it bills before you expect a reset.

Price reality

At $20/mo Standard (weekly renewal, $60/week included usage) Synth sits in the same band as a typical individual developer tool, and at $200/mo Max it competes with team-tier eval platforms rather than individual seats. Cheaper entry points exist if you do not need optimization loops: local-only use with your own provider keys costs nothing to Synth. The Free tier's $10/week allowance is enough for evaluation, not for hosted long-horizon runs.

In short

Synth — Synth is a macOS workbench plus hosted compute for optimizing coding agents and long-horizon agent workflows. Best for Research engineers optimizing coding-agent prompts, contexts, and scaffolds, Teams running long-horizon sparse-reward agents that need auditable receipts, CLI- and SDK-comfortable groups wanting local-first work with optional hosted compute. Free to start; paid plans from $20/mo.

What's new in Synth

Checked today

Across the latest 5 updates: 1 feature update, 2 launches, 1 pricing change and 1 changelog entry.

What people actually say about Synth — is it worth it?

We scanned public community sources for Synth on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.

Viability Score

72/100
Safe Bet

How well maintained and how widely used is Synth? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
27
What the vendor publishes
40

Last calculated: October 2026

How we score →

Key Features

  • Local-first macOS Workshop workbench for Apple silicon
  • Stack harness with live runs, traces, scores, candidates, and handoffs
  • Sidecar monitor agent in Stack Goal mode that narrates progress and steers workers
  • GELO (Go-Explore Long-Horizon) optimizer for sparse-reward agent tasks
  • GEPA (Gradient-Free Evolutionary Prompt Adaptation) for coding-agent prompts
  • Paired held-out evaluation with fail-closed evidence contracts
  • Research Factory with typed research cycles, immutable candidates, and benchmark-owned grading
  • Synth Index alpha v0.1 Fast and Deep Search over reviewed research
  • Index Search via Python SDK, HTTP API, or hosted MCP
  • Managed Research hosted runs on direct xAI Grok Build
  • Local Qwen MLX SFT fine-tuning with training-workload selection
  • Graphs API and Graph Evolve for automatically evolving multi-step LLM workflow graphs
  • Jesterky native runtime that replays agent workflow orchestration
  • Stack Stable and nightly release channels with per-channel notes
  • CLI and SDK interface with open-source Containers and Optimizers installed via uv

About Synth

FreemiumAdvancedAPI availableWeb · Desktop · API · CLI · Plugin

Synth is research infrastructure for engineers who iterate on coding agents and want reproducible evidence rather than impressions. Workshop is a local-first macOS app for Apple silicon where you build containers, run evals and optimizers, inspect traces, and compare policy changes in one workspace. Managed Research runs the same loops on Synth-hosted compute, and since June 2026 hosted runs go through direct xAI Grok Build on synth-ai 0.11.7. Optimizers GELO (Go-Explore Long-Horizon) and GEPA (Gradient-Free Evolutionary Prompt Adaptation) hill-climb agent behavior, while paired held-out evaluation with fail-closed evidence contracts keeps results defensible. A Sidecar monitor agent, default in Stack's Goal mode, narrates progress and audits done-claims mid-run. Research Factory turns a bounded objective and budget into typed research cycles with immutable candidates and benchmark-owned grading. Synth Index alpha v0.1 adds Fast and Deep Search over reviewed research from the API, Python SDK, or MCP, pay per search. Pricing as of the v0.23 release: Free at $0.00/mo with $10.00/week included usage, Standard at $20.00/mo with $60.00/week, Max at $200.00/mo with $300.00/week, all weekly renewal. No Synth account is needed for local models, local data, and local execution; ChatGPT login and direct provider APIs are equally valid entry points billed by those providers. Containers and Optimizers ship as standalone open-source projects you add with uv, and Stack publishes Stable and nightly channels. Expect CLI, Python, and container work: this is aimed at agent builders and research engineers, not at buyers of turnkey eval dashboards.

Behind the Verdict

Synth's argument is that agent quality work fails not on ideas but on receipts. The pieces that back that up are specific. GEPA does gradient-free evolutionary prompt adaptation for coding-agent prompts, GELO does go-explore long-horizon search on sparse-reward tasks, and both feed paired held-out evaluation with fail-closed evidence contracts, so a run that cannot produce evidence is treated as failed rather than as a win. Research Factory, shipped in synth-ai 0.15.0, converts a bounded objective and budget into typed research and maintenance cycles with immutable candidates and benchmark-owned grading, which is the part most eval stacks leave to spreadsheets. The daily workflow pieces matter more than the optimizer names for most buyers. Stack's Goal mode defaults to a Sidecar events feed where a monitor agent narrates progress, audits done-claims, and steers the worker; Stack ships on Stable and nightly channels with per-channel notes. Interactive trace inspection, local reports, and a CLI/SDK surface keep the loop on your machine, with hosted capacity optional. Where it gets thin: the surface is broad and some of it is launch-stage. Synth Index is alpha v0.1 and pay-per-search, hosted GELO relaunched in June 2026 behind a 72-hour proposer-spend promo and an invite-only plugin lane, and Swarms is still listed as coming in a later release. Several blog posts are explicitly marked historical. Workshop is Apple silicon macOS only, so Windows and Linux desktop users are out of luck for the local workbench, and the docs, SDK, and CLI assume you are comfortable with Python and containers. The docs reference synth-ai 0.23.1. Fit: research engineers and agent teams who already run evals and want them to hill-climb reproducibly, plus groups wiring hosted optimizers into CI. Not a fit: anyone who wants a no-code dashboard, or a team that needs an observability product rather than an optimization loop.

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Real-world workflow fit

Concrete scenarios for the personas Synth actually fits — and what changes day-one when you adopt it.

Research engineer improving a coding agent

You install Workshop on an Apple silicon Mac, point GEPA at your coding-agent prompts, and run paired held-out evaluation with fail-closed evidence contracts.

Outcome: You get a candidate prompt set that beat the baseline on held-out tasks, with the receipts to show why the result is trustworthy.

Team running a long-horizon agent in production

You configure Stack in Goal mode so the Sidecar monitor narrates progress and audits done-claims while the worker runs, then inspect traces and artifacts locally.

Outcome: You stop reading every tool call and catch stalled or falsely-completed runs before they ship.

Applied research group with an open question

You hand Research Factory a bounded objective and budget via the synth-ai SDK, let it run typed research cycles, then search reviewed write-ups through Synth Index MCP.

Outcome: You end up with immutable candidates and benchmark-owned grading plus cited research you can reference in a decision memo.

Use Cases

Models Under the Hood

xAI Grok BuildQwen

as of 2026-10-18

Limitations

  • Synth is a local-first macOS workbench for Apple silicon plus hosted compute, accessed via Python SDK, HTTP API, CLI, and hosted MCP servers (synth-ai 0.23.1).
  • Hosted Managed Research runs on direct xAI Grok Build, while local fine-tuning uses Qwen MLX SFT.
  • Several surfaces are early-stage: Synth Index is alpha v0.1 with Fast and Deep Search billed per search, and Swarms is listed as coming in a later release.
  • Pricing is usage-based with weekly included usage across Free, Standard ($20/mo), and Max ($200/mo) plans.

as of 2026-10-18

Verification history

We have re-verified Synth 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 10 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Synth tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0.00/mo

Ideal for

An individual engineer evaluating Synth locally on an Apple silicon Mac, or trying Index Search before committing to a paid allowance.

What this tier adds

Starting tier: $10.00/week of included usage at $0.00/mo, weekly renewal, with organization signup and local-first Workshop access.

Standard

$20.00/mo

Ideal for

A research engineer or small team running hosted evaluation and optimization loops regularly rather than only local runs.

What this tier adds

Raises included usage from $10.00 to $60.00 per week at $20.00/mo, covering hosted capacity for research runs.

Max

$200.00/mo

Ideal for

A lab running long-horizon agent optimization and hosted research runs most days of the week.

What this tier adds

Raises included usage to $300.00 per week at $200.00/mo for sustained long-horizon agent work.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Included usage is a weekly allowance ($10 on Free, $60 on Standard, $300 on Max) that renews every week rather than monthly, so a burst that exceeds it bills before you expect a reset.
  • Synth Index is billed pay-per-search on top of your plan allowance, so Deep Search queries on top of a normal research workload add spend per query.
  • Managed Research hosted runs and hosted GELO optimization consume your included usage, and past the allowance the work is billed rather than throttled.
  • Local fine-tuning on Qwen with MLX SFT is sized to a specific training workload, so choosing a larger workload than you need raises compute requirements beyond what a small local setup covers.

Where the pricing makes sense

The company stage and team size where Synth's pricing actually pencils out — and where peers do it cheaper.

At $20/mo Standard (weekly renewal, $60/week included usage) Synth sits in the same band as a typical individual developer tool, and at $200/mo Max it competes with team-tier eval platforms rather than individual seats. Cheaper entry points exist if you do not need optimization loops: local-only use with your own provider keys costs nothing to Synth. The Free tier's $10/week allowance is enough for evaluation, not for hosted long-horizon runs.

Setup time & first value

How long it actually takes to get something useful out of Synth — broken out by persona, not the marketing-page minute.

Individual research engineer: an afternoon to install the synth-ai SDK and CLI (0.23.1), authenticate, and get a first local run into Workshop; a day or two before GEPA or GELO produces a usable candidate. Team wiring hosted runs and GitHub Actions: roughly a week, mostly spent fitting your agent harness into a container and defining the grading contract. Local-only use with your own provider

Switching to or from Synth

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From LangSmith: import your traces into Stack and re-express existing evaluators as paired held-out scores with evidence contracts.
  • →From Weights & Biases: replace run tracking with Stack traces plus local reports, and move prompt sweeps onto GEPA for automated adaptation.
  • →From hand-rolled prompt spreadsheets: point GEPA at the prompt and let hill-climbing replace manual trial-and-error.
  • →From older synth-ai SDK versions: follow the docs' "Migrate from 0.22" guide to move to synth-ai 0.23.1.
Migrating out
  • ↗To LangSmith: export Stack traces and rebuild the optimization loop as evaluators plus datasets inside LangSmith.
  • ↗To Weights & Biases: move prompt experiments into W&B sweeps and keep reports there instead of local Stack runs.
  • ↗To a plain git-and-notebooks workflow: pull the open-source Containers and Optimizers packages and drop the hosted pieces.

Integrations

xAI Grok BuildCodexClaude CodeOpenCode HarnessCursorGameBenchGitHub ActionsDockeruv

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Synth”, and we withheld 6: 6 could not be judged, because “Synth” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Synth.

Tools that pair well with Synth

Common stack mates teams adopt alongside Synth, with the specific reason each pairing earns its keep.

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