Agentic Index

Sim vs StackAI (2026)

Both vendors last verified

Both build and deploy agents on enterprise data with low friction. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Sim is open source with visual, conversational and code paths to the same workflow, $25 per user a month for Pro with 6,000 credits a month. StackAI is no code for building and deploying workflows and agents on enterprise data, free at $0 for 500 runs a month, then Enterprise priced per seat on custom terms. Sim is open and self hostable, and StackAI is a no code experience for a team that will never touch the code path.

On the Agentic Index self hosted platform ranking, Sim and StackAI both clear the bar: each documents both containment capabilities in full. 171 of the 556 platforms it grades clear it. See the self hosted platform ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Sim and StackAI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Sim if

  • Open source is a requirement, and self hosting keeps the workflows on your own infrastructure.
  • A code path matters because some of your workflows will outgrow a visual builder.
  • Flat monthly pricing with credits is predictable.

Choose StackAI if

  • Nobody on the team will write code, so a code path is not a benefit.
  • Enterprise data connectivity is the specific problem you are solving.
  • A free tier of 500 runs is enough to prove the use case.
Feature
S
Sim
S
StackAI
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
S
Sim
S
StackAI

Entry price

Lowest public entry point

$25 per user a month for Pro, with 6,000 credits a month plus a weekly refresh. Free at $0 for 500 runs a month. Enterprise is custom and priced per seat, with no self serve paid tier.

Pricing confidence

How public the numbers are

Public, exact Contact only

Billing

Primary billing axis

Credits. Paid plans are priced per user a month, and each plan carries a credit allowance that runs and model usage draw down. Runs. One run is one execution of an agent or workflow. Free includes 500 runs a month, and Enterprise is billed per seat with a run allowance set in the contract.

Variable cost

Workload / overage exposure

Medium variable cost Medium variable cost

Free tier / trial

Try before you buy

Free tier
Free tier

Buying motion

Self-serve vs sales call

Mixed Mixed

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

Sim

  • · Integrations

    Sim 0.9.32 adds an Amazon EC2 integration.

    Source
  • · Integrations

    Sim v0.9.4 connected its workflows to the native analyst agents in Snowflake and Databricks.

    Source

StackAI

  • · Observability / auditability

    Self Healing Workflows start on their own when a monitored evaluation score falls below its threshold.

    Source
  • · Integrations

    The mid October StackAI release adds a broad set of integrations, among them Akeyless and Keeper secrets management with Keeper SCIM provisioning, Chatwoot, Jamf Pro and Egnyte file triggers, plus an action to approve GitHub pull requests.

    Source
  • · Browser/computer use

    Stack AI's E2B partnership now powers sandboxed Custom Code, Computer Use/RPA replay, and Browser Use on the StackAI platform.

    Source

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