Machine learning operations and large language model operations are the focus of Starwhale’s platform.
Open source
24 alternativesFuture AGI
Future AGI evaluates and observes AI and agent applications with tracing, simulations, datasets, and guardrails.
About Future AGI
Future AGI is an open-source, Apache 2.0-licensed end-to-end platform for evaluating, observing, and improving large language model (LLM) and AI agent applications. It includes built-in tracing, evaluation tools, simulation capabilities, dataset management, a gateway, and guardrails to cover the full AI application lifecycle. The platform can be self-hosted for data sovereignty or accessed via a managed cloud service, and integrates with existing technology stacks via OpenTelemetry and OpenAI-compatible HTTP interfaces.
Key features
- Built-in tracing for LLM and AI agent applications
- Evaluation tools for model and agent performance testing
- Simulation capabilities to test edge cases pre-launch
- Integrated guardrails for real-time user protection
- OpenTelemetry-native and OpenAI-compatible integration
- Self-hostable with published Docker images for deployment
Best for: Teams building and deploying LLM and AI agent applications that require integrated evaluation, observability, and production guardrails.
Good for
- Consolidates separate AI agent tooling (evaluation, observability, guardrails) into a single platform, eliminating the need to combine multiple services.
- Open-source Apache 2.0 core with fully inspectable evaluators, prompts, and traces, with no black-box scoring.
- High-performance Go-based gateway designed for production workloads, with reported low latency and high throughput.
Watch out for
- Self-hosted deployment requires Docker Desktop or Docker Engine with Compose v2.24 or newer, plus 2 vCPUs and 4 GB of memory allocated to Docker for the default standalone setup.
- Self-hosted installation downloads approximately 800 MB of container images, and initial boot takes several minutes to complete database setup.
- The platform is designed exclusively for LLM and AI agent application use cases, with no stated support for other AI workload types.
Future AGI at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Future AGI FAQ
What license is Future AGI's core platform released under?
The core platform is released under the Apache 2.0 license.
What are the system requirements for self-hosting Future AGI?
Self-hosting requires Docker Desktop or Docker Engine with Compose v2.24 or newer, 2 vCPUs, and 4 GB of memory allocated to Docker for the default standalone setup.
Is a managed cloud version of Future AGI available?
Yes, a managed cloud service is available with a free tier that does not require a credit card, and is SOC 2 Type II and HIPAA compliant with data stored in the user's region.
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