Braintrust vs Future AGI
A side-by-side comparison of Braintrust and Future AGI, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Future AGI
EvalEvaluation, observability, and optimization platform for AI agents and LLM apps.
View Future AGIAt a glance
| Attribute | Braintrust | Future AGI |
|---|---|---|
| Category | Eval | Eval |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms | Web, API | Web, API |
| Model support (differs) | BYO key / model | Multi-model |
| Vendor (differs) | Braintrust | Future AGI |
| Capabilities (differs) |
|
|
The honest brief
Braintrust
Eval-first: prompts are versioned objects and CI scorers block a merge when quality regresses.
- Eval workflow as the primary interface
- CI scorers block merges on regression
- Dataset versioning + OTel tracing
- Generous free tier
- Closed-source SaaS
- Self-hosting needs Enterprise contract
- Overkill for tiny single-file eval needs
Future AGI
One of the few fully open-source, self-hostable eval stacks that also bundles a model gateway and runtime guardrails, not just offline scoring.
- Open-source, Apache-2.0 licensed
- Self-hostable end-to-end
- Multimodal evaluation support
- Bundles guardrails and a gateway
- Newer, smaller community
- Broad scope can feel complex
- Docs still maturing
When to pick which
Future AGI leans on LLM observability as a headline capability; Braintrust treats it as secondary.
- LLM observability (primary capability)
They also differ on:
- License
- Proprietary · Open core
- Deployment
- Cloud · Hybrid
- Model support
- BYO key / model · Multi-model
Their capability lists differ in recorded depth — compare the full lists above before deciding.