Agentuity - 2026 Pricing, Features, Reviews & Alternatives

• Ship Agents — Go from idea to production agent with a single CLI command. No IAM roles, security groups, or load balancers to configure. Agentuity handles infrastructure so team focuses on building agent logic, not managing cloud services.

• One Platform, Not Six Services — Stop wiring together Redis, Pinecone, E2B, LangSmith, and hosting for every project. Agentuity includes KV storage, vector search, Postgres, object storage, sandboxes, observability, evals, and an AI gateway in one integrated platform. One bill, one dashboard, everything works together out of the box.

• Agent-Native Design — Every service is built for how agents actually work: long-running, stateful, and autonomous. Traditional cloud platforms assume request/response. Agentuity assumes code might run for hours, pause for human input, and resume later. That changes everything from the runtime to how storage and billing work.

• Deploy Anywhere — Run on Agentuity's public cloud for speed, VPC for control, or on-prem for full data sovereignty. The Gravity Network gives the same SDK, services, and observability on every deployment target. Meet data residency and compliance requirements without building a separate stack.

• Framework Freedom — Works with Mastra, Vercel AI SDK, LangChain, LangGraph, CrewAI, OpenAI Agents SDK, Agno, PydanticAI, or own custom code. Switch frameworks without switching platforms. The open source SDK (Apache 2.0) means users can audit everything and aren't locked in.

• Unified AI Gateway — Access OpenAI, Anthropic, Google, Groq, xAI, Mistral, DeepSeek, and more through a single interface with consolidated billing, automatic token tracking, and higher rate limits.

• Automatic Observability — OpenTelemetry-based tracing is on from day one. Every LLM call, agent call, and API request is traced with timing, token counts, and costs. Structured logging, session tracking, and eval results all visible in one timeline with no instrumentation code required.

• Catch Issues Before Users Do — Production evals run on every agent session automatically after the response is sent, adding zero latency. Preset evaluators cover safety, PII detection, adversarial attacks, politeness, and more. Write custom evals with LLM-as-judge or deterministic checks. Evals test the complete agent run, not just individual LLM calls.

• Secure Code Execution — Sandboxes provide isolated Linux containers for running untrusted code safely. Network disabled by default, resource limits enforced, execution timeouts prevent runaway processes. Create snapshots for fast recreation without reinstalling dependencies.

• Predictable Costs — Usage-based pricing with no tiers, no per-seat charges, and no feature gating.

• Automatic Scaling — Auto-scaling handles everything from zero to thousands of requests with no configuration. Rolling deployments, GitHub-based auto-deploy on merge, preview environments per PR, and custom domains with automatic SSL.