memory
Structured business memory your agents can query on demand.
The system builds a dynamic graph based on past conversations and other data sources, so agents remember and can reuse information beyond a single chat window.

the platform
Your agents remember your business, check with you before they act, do the actual work, and keep a record of everything.
product surfaces
The product claims on this page show up as concrete interfaces: memory, approvals, access control, agent configuration, identity, and scheduled execution.
memory
The system builds a dynamic graph based on past conversations and other data sources, so agents remember and can reuse information beyond a single chat window.

authority
Force agents to stop and ask for approval before they act. Potentially high-impact actions wait for human decisions, with explicit approve and deny controls.

access control
Two-factor auth, connected identities, and active sessions all sit inside the platform so governance is operational, not theoretical.

build layer
The agent building process makes it clear what an agent can do, which model it uses, and what capabilities are available before it runs.

operational layer
The surrounding product matters too. Praxis includes the user-facing surfaces that make an agent system governable for an actual team.
team identity
Praxis Agents stay usable by real people by logging agent activity alongside actual user accounts, rather than anonymous system edits.

cadence
Set recurring, interval, or one-time runs without human interaction, but maintain the approval process and visibility for all actions.

Memory
Your agents know your SOPs, your customers, and your preferences - so you never have to explain things twice.
Authority
Spending money, emailing clients, changing settings - anything important gets paused for your approval first.
Execution
Your agents don't just give you suggestions - they get things done in the real tools you already use.
Trace
Every step is recorded - who asked for it, who approved it, what changed, and when.
architecture
Single-tenant, model-agnostic, and audit-ready from day one. The architecture your technical team needs to see.
Each customer gets a dedicated, isolated instance - not shared multi-tenant SaaS. Deployed on your cloud infrastructure or our managed environment. No cross-tenant data leakage by design.
Praxis orchestrates agents across OpenAI, Anthropic, Google, or self-hosted models. Swap providers without re-architecting workflows. You decide the model strategy, we provide the execution layer.
Three user roles (Admin, Member, and Read-Only) with more granular tool permissions at the agent level. Control which agents each person can use, and which actions need approval before they run. 2FA and user-group management built in.
No-code agent builder for domain-specific workflows. Define instructions, scope available tools and data sources, and publish reusable Skills across your team - without writing a line of code.
Persistent entity-relationship storage built from conversations, files, and connected systems. Agents query the graph at execution time for context - no prompt stuffing, no context rot.
Every request, plan, approval, tool invocation, and outcome is logged with timestamps and actor attribution. Full visibility into what happened, who triggered it, and why.
Trigger agent workflows on a time-based schedule or at set intervals. Reports, health checks, and routine operations run unattended - with the same approval gates and logging.
Native connectors to Gmail, Google Ads, Drive, Calendar, Airtable, and more. Agents sequence multi-step jobs across tools, handling the coordination so your team doesn't have to.
No dashboards to learn, no config screens to navigate. Users interact with agents through plain conversation. Lower the barrier to adoption across technical and non-technical team members alike.