Lyzr vs StackAI (2026)

Built-in connectors, custom REST integrations and native MCP, with Architect wiring in ERP, CRM, HRIS and document systems; tools are capped at 5, 10 and 25 on the self-serve tiers.

Roughly ninety app nodes are individually documented with actions, inputs and outputs, spanning CRM, ERP, ITSM, HR, data warehouses, vector stores, documents and communications, and an MCP node and a Custom API node reach anything outside the catalog.

Deterministic orchestration through SuperFlow and dynamic orchestration through a Manager agent choosing among sub-agents; full orchestration is Enterprise only.

Logic nodes cover model-decided and deterministic branching, loops and delays, and an AI Agent can call other flows as tools through Subflow Tools, with error fallback, skip and replace patterns documented.

Voice over Twilio, Telnyx and Plivo, a REST endpoint per agent, custom UIs and chat connectors, but no scheduler, cron, event or webhook trigger is documented.

The Trigger node starts workflows on events such as a new email, form submission, payment, ticket or finished workflow and on one-time or recurring schedules, and end-user surfaces include forms, chat, Slack, Microsoft Teams, WhatsApp, SMS through Twilio and the API.

Durable knowledge bases built from documents, databases, websites and live data, with a Knowledge Graph and an API-accessible retrieval layer; storage is capped at 100MB to 1GB on self-serve tiers.

Knowledge bases are documented, managed artifacts with permissions set independently of workflow access and a REST endpoint, alongside runtime vector stores, live search over connected apps, and Pinecone and Weaviate nodes for customer-managed indexes.

Cognis stores interactions, updates stale memories and remembers the same user across sessions, with session memory and org-level Global Context; no review or delete surface is documented.

The Shared Memory node forwards a builder-chosen number of past interactions between LLM nodes within the context window, and no cross-session or learned memory is documented.

Guardrails that block, flag or reroute output, a Hallucination Manager, RBAC and audit logs, but no human approval step or review queue is documented.

Human in the Loop is a documented core node, with approvals delivered in Slack with approve and disapprove controls, alongside workflow notifications and project controls that lock workflows in production.

RBAC, SSO/SAML and audit logs, with HIPAA and SOC 2 stated in the docs and further badges on the site; no trust portal or named auditor has been found.

The documented control surface covers role-based access, workspace and folder isolation, admin feature enforcement, per-connection and per-knowledge-base permissions, MFA and SCIM provisioning with Okta and Entra guides, backed by SOC 2 Type II, ISO 27001, HIPAA and GDPR, a trust center, a SOC 2 report request form and a BAA route.

Step-by-step run traces with per-step latency, audit logs and API-accessible monitoring; logs are kept seven days on self-serve tiers, custom on Enterprise.

Analytics gives node-level traces of the actions taken at each step of a run, plus runs, users, errors and token usage over time, while the Manager view shows every conversation and an admin can disable logs for sensitive workflows.

Managed cloud, on-premise inside the customer's VPC, or hybrid with data connectors on-premise, plus regional hosting and air-gapped operation; on-prem deployment is an Enterprise entitlement.

StackAI documents multi-tenant, VPC and on-premise deployment with Kubernetes, an enterprise CLI for running the platform on customer infrastructure, a separate government deployment path with Azure OpenAI in Azure Government, and local or customer-cloud LLM hosting.

Blueprints are a metered entitlement (Few on self-serve tiers, All on Enterprise), the Studio offers templates, and named role agents ship with their own pages.

StackAI publishes a Templates catalog with named agent templates such as Content Writer, Skills as reusable instruction packs agents load on demand, a Prompt Library, Common Architectures patterns and fourteen buildable tutorial agents.

Model set per agent across OpenAI, Anthropic, Gemini, Bedrock and DeepSeek, swappable by config; the full roster and Bring Your Own Model are Enterprise only.

StackAI runs models from multiple providers, including models hosted in the customer's own Azure or AWS Bedrock account and local models, and LLM Provider Governance lets an administrator control which models the organization may use and where information is sent and stored.

A versioned REST API, a pip-installable Python ADK and a TypeScript SDK, with every deployed agent exposing its own endpoint, native MCP support and an open source core framework.

StackAI is callable from outside through a documented REST API (Run Flow, Knowledge Bases and Analytics), its own MCP server and an enterprise CLI, and project export and import make agent definitions portable.

Agent Eval generates test cases and scores production readiness, and a Simulation Engine runs adversarial and regression scenarios; Agent Eval is Enterprise only.

The Evaluator scores the customer's own agents with an LLM-as-a-judge, surrounded by version control with pull requests and prompt diffs, production workflow locks and documented troubleshooting and error-fallback guides.

No browser, desktop or computer-use capability is documented; Lyzr acts through connectors, REST calls and MCP tools. Lyzr Nitro and Lyzr Optimus are not documented on any page reached.

Agents drive a real browser through authenticated web applications, either replaying a recorded session whose cookies and login state persist between runs or navigating unfamiliar tasks agentically, with a live stream URL and a step-by-step result payload for inspection.