The agent platform
you control
Deploy production-ready agents in minutes, not months. One platform for identity, tools, sandbox, and observability.
Workspace
3 agents active · 11 integrations
Getting agents to production shouldn’t take months
You’ve built the agent. It works in a notebook. Now you need authentication for every tool, somewhere to store files, an isolated runtime, monitoring, and multi-tenant access control. Suddenly you’re managing infrastructure, not building intelligence.
Scattered infrastructure
Auth, storage, tools, runtime, monitoring: each a separate vendor requiring integration and maintenance. Every new agent multiplies the complexity.
No agent identity
Agents act on behalf of users but have no first-class identity. Without proper attribution, there's no accountability and no audit trail.
Demo ≠ Production
The gap between a working prototype and a production agent that a team can rely on keeps growing. Isolation, security, and multi-tenancy are afterthoughts.
From agent to production in four steps
Create or import agents, connect your tools, configure security, and deploy. All through one integrated runtime with identity, context, sandbox, and observability built in.
Agents
Multi-agent teams that reason, delegate, and ship
Configure agents through detailed settings or build through conversation. Each agent gets its own identity, skills, tools, and LLM provider. Spawn sub-agents that work in parallel, delegating complex tasks across a hierarchy that runs autonomously.
- Multi-agent hierarchies with automatic delegation
- Git-based skill catalog: install, update, version
- Any LLM provider: swap models without rewriting agents
- Per-agent isolation with configurable security levels
Integrations
Every tool your agents need, built-in or bring your own
Browse the catalog or bring your own. Install tool servers via the Model Context Protocol (MCP), REST APIs, or custom hooks. Agents gain tools at runtime with no hardcoded connections and no vendor lock-in.
Computers
Sandboxed computers agents can see and control
Every agent gets a disposable sandbox with a full browser, terminal, and filesystem. Isolated per user, ephemeral by default, and observable from first click to final output.
Tasks
Put any workflow on autopilot
Run a prompt on a schedule or build multi-step pipelines that collect data, run tools, and hand prepared context to an agent. Target any agent or LLM provider directly. Prajvis handles scheduling, dispatch, and execution history.
Collect metrics, analyze, and post summary to Slack
Query Datadog
Fetch PagerDuty
Analyze Metrics
Post to Slack
Review new documents and summarize key terms
Scan vendor profiles for compliance changes
Memory & Multitenancy
Shared agents, private memory for every user
Each authenticated user builds their own memory context. Recalled context is never shared across users, even when they use the same agent.
Flexibility
Every layer. Configurable.
Providers, integrations, and deployment are independent choices. Change any layer without touching the others. No lock-in at any level of the stack.
Swap LLM providers without rewriting agents. Route to the model that fits the task.
Connect tools through MCP, REST, or custom hooks. No vendor lock-in.
Our cloud, your VPC, or fully air-gapped. Your data never leaves your control.
Use cases
Built for teams that need agents to deliver
Teams use Prajvis to build agents that go beyond chat. Agents that research, analyze, automate, and produce real artifacts.
Deep Research & Analysis
Agents that search the web, read documents, cross-reference sources, and produce comprehensive reports, autonomously and on schedule. Used by teams in finance, consulting, and market intelligence.
See it in actionWorkflow Automation
Chain agents into multi-step pipelines. Trigger from webhooks, schedule recurring runs, and let sub-agents handle the details.
Computer Use
Agents with real browsers and terminals. Log into dashboards, extract data, run scripts, and interact with any web application.
Multi-Agent Teams
Hierarchical agent teams that delegate, collaborate, and produce artifacts across specialized roles.
Security & Compliance
Automated security scans, compliance monitoring, incident analysis, and threat intelligence with full audit trails.
Data Analysis
Agents that connect to databases, APIs, and file systems to extract, transform, and analyze data with persistent memory.
Ship agents, not infrastructure
From first prototype to production at scale. Identity, tools, sandbox, and observability, all handled so you can focus on what your agents do, not how they run.