# CrewAI vs SOAT: Feature Comparison

> CrewAI and SOAT compared on 15 agent capabilities, 6 vs 12 native, each rating linked to its source.

# SOAT vs CrewAI

CrewAI is an agent framework (MIT, self-hosted or managed). SOAT is agent infrastructure (Apache-2.0, self-hosted). Of the 15 capabilities the [benchmark](/benchmark) tracks, CrewAI covers 6 natively and SOAT 12.

## At a glance

| | CrewAI | SOAT |
| --- | --- | --- |
| Type | an agent framework | agent infrastructure |
| License | MIT | Apache-2.0 |
| Deployment | self-hosted or managed | self-hosted |
| Native capabilities | 6 of 15 | 12 of 15 |
| Last verified | 2026-08-14 | 2026-08-14 |

## Where each one leads

- **CrewAI** is native where SOAT is not: code execution.
- **SOAT** is native where CrewAI is not: identity & governance, observability, data & secrets, evaluation, multi-tenancy, declarative deployment, versioning & rollout.

## What CrewAI is

Python framework for orchestrating role-based autonomous agents, combining Crews (agent teams with task delegation) and Flows (event-driven, state-managed workflows). A separate commercial product, CrewAI AMP, adds managed deployment, a trace dashboard, and webhook automations. [CrewAI documentation](https://crewai.com).

## Capability by capability

### Agent runtime

_Agent loop, sessions, and generation lifecycle._

- **CrewAI: Native.** Agents execute a tool-calling loop over assigned tasks within a Crew, with configurable retry limits and execution hooks. ([source](https://docs.crewai.com/en/introduction))
- **SOAT: Native.** Agents, sessions, chats, and generations with full lifecycle tracking. ([source](https://soat.ttoss.dev/docs/modules/agents))

### Orchestration

_Multi-step pipelines, workflows, and triggers._

- **CrewAI: Native.** Flows provide event-driven workflows with state persistence and conditional branching; Crews provide multi-agent task delegation. ([source](https://docs.crewai.com/en/introduction))
- **SOAT: Native.** DAG orchestrations, workflow state machines, durable tasks, and triggers (manual, webhook, schedule). ([source](https://soat.ttoss.dev/docs/modules/orchestrations))

### Knowledge & memory

_Documents, embeddings, semantic search, and recall._

- **CrewAI: Native.** A unified Memory class backed by LanceDB plus Knowledge sources (text, PDF, CSV, Excel, JSON) embedded into ChromaDB or Qdrant with query-rewritten search. ([source](https://docs.crewai.com/en/concepts/knowledge))
- **SOAT: Native.** Documents with per-chunk embeddings, named memories, unified semantic search, and ingestion rules for PDFs, images, and audio. ([source](https://soat.ttoss.dev/docs/modules/knowledge))

### Tools & integration

_Tool calling, MCP, providers, and webhooks._

- **CrewAI: Native.** Tool calling with a built-in tool library and native MCP server support over stdio, SSE, and streamable HTTP. ([source](https://docs.crewai.com/en/mcp/overview))
- **SOAT: Native.** HTTP, MCP, client, and agent-to-agent tools; model routes with failover; webhooks; any LLM provider. ([source](https://soat.ttoss.dev/docs/modules/tools))

### Identity & governance

_IAM, guardrails, approvals, quotas, and audit._

- **CrewAI: Partial.** Task guardrails (function-based and model-based) and human-in-the-loop input are built in, but the framework has no multi-tenant IAM, quota, or audit-log layer. ([source](https://docs.crewai.com/en/concepts/tasks))
- **SOAT: Native.** AWS-inspired IAM, actors, scoped API keys, guardrails, human approvals, quotas, and an append-only audit log. ([source](https://soat.ttoss.dev/docs/modules/iam))

### Observability

_Traces, activity, usage, and failure queues._

- **CrewAI: Partial.** Built-in tracing captures execution time, token usage, and cost, but traces are viewed in the commercial CrewAI AMP dashboard. ([source](https://docs.crewai.com/en/observability/tracing))
- **SOAT: Native.** Traces of every tool call and model response, activity feed, usage/cost tracking, and an exceptions queue. ([source](https://soat.ttoss.dev/docs/modules/traces))

### Data & secrets

_File storage and encrypted secrets._

- **CrewAI: Absent.** No managed file storage or encrypted secrets store; credentials are supplied through environment variables.
- **SOAT: Native.** File storage over local/S3/GCS backends and encrypted secrets storage. ([source](https://soat.ttoss.dev/docs/modules/files))

### Evaluation

_Datasets, scorers, and eval-gated improvement._

- **CrewAI: Partial.** The crewai test command scores crew runs across iterations, but it is OpenAI-only and has no dataset or reusable scorer abstraction. ([source](https://docs.crewai.com/en/concepts/testing))
- **SOAT: Native.** Datasets, scorers, and scored runs; eval-gated promotion of agent versions. ([source](https://soat.ttoss.dev/docs/modules/evaluations))

### Channels

_Built-in gateways to messaging platforms and UIs._

- **CrewAI: Partial.** Channels run a Crew or Flow as a Slack or Discord bot, but the adapters are third-party CopilotKit packages rather than CrewAI-owned gateways. ([source](https://docs.crewai.com/en/guides/frontend/channels))
- **SOAT: Absent.** Surfaces are REST, MCP, CLI, and SDK — no built-in gateways to messaging platforms like Slack, WhatsApp, or Telegram.

### Code execution

_Sandboxed code or terminal runtimes for agents._

- **CrewAI: Native.** Setting allow_code_execution gives an agent an internal CodeInterpreterTool that runs generated Python and feeds errors back for retries. ([source](https://docs.crewai.com/en/learn/coding-agents))
- **SOAT: Absent.** Tool types are HTTP, MCP, client, and agent-to-agent — no built-in sandboxed code or terminal runtime.

### Human-in-the-loop

_Pausing a run for human approval, then resuming it._

- **CrewAI: Native.** Tasks set human_input to pause a crew in a pending state; execution resumes through an endpoint taking the execution, task, feedback, and approval decision. ([source](https://docs.crewai.com/en/learn/human-in-the-loop))
- **SOAT: Native.** Approvals are a first-class human-decision queue with frozen evidence, and guardrails classify each tool call so risky actions pause for a decision. ([source](https://soat.ttoss.dev/docs/modules/approvals))

### Multi-tenancy

_Projects or workspaces scoping resources and permissions._

- **CrewAI: Partial.** Only the commercial AMP platform provides an organization boundary with feature-level roles and entity-level permissions; the open-source library has no tenant scoping primitive. ([source](https://docs-platform.crewai.com/platform/en/features/rbac.md))
- **SOAT: Native.** Projects are multi-tenant namespaces scoping every resource, with IAM policies and quotas enforced per project. ([source](https://soat.ttoss.dev/docs/modules/projects))

### Declarative deployment

_Templates that provision agent resources as one stack._

- **CrewAI: Partial.** YAML agent and task config declaratively defines one project, but there is no resource dependency graph, plan/apply cycle, or infrastructure provisioning. ([source](https://docs.crewai.com/en/concepts/agents))
- **SOAT: Native.** Formations provision providers, memories, tools, agents, orchestrations, and webhooks from one template, resolving refs into a dependency graph with tracked operations. ([source](https://soat.ttoss.dev/docs/modules/formations))

### Versioning & rollout

_Agent versions, canary rollout, gated promotion._

- **CrewAI: Absent.** Updating a deployed crew rebuilds and redeploys from source with no immutable versions, aliases, staged rollout, or rollback.
- **SOAT: Native.** Every config change is archived as an append-only agent version, with canary rollout to a slice of traffic and eval-gated promotion. ([source](https://soat.ttoss.dev/docs/tutorials/agent-versioning-and-canary-rollout))

### Skill learning

_Agents authoring reusable skills from their own experience._

- **CrewAI: Absent.** The Memory class stores and retrieves scoped memories with recency and importance weighting, but does not synthesize reusable procedures from the agent's own trajectories.
- **SOAT: Absent.** Memories and knowledge store retrievable context, but agents do not author or refine reusable skills from their own experience.

## How this is rated

Each rating comes from the public documentation linked beside it: **Native** is built in, **Via plugin** needs an add-on, **Partial** covers part of the capability, **Absent** is not offered. Every solution side by side is on the [benchmark](/benchmark). A rating that is out of date is a bug: [open an issue](https://github.com/ttoss/soat/issues).