Automate complex work
with AI Agents.
Locus AI Agents lets your team deploy specialized language model agents that run securely in the cloud — no infrastructure to manage, no data leaving your environment.
Used by engineering teams to automate document processing, code review, and more.
Attachment
Q3_report.pdf
Agent
summarizer
Result ready
"The document covers..."
3+
Supported providers
< 5 s
Avg. queue-to-result
100%
Cloud-native
Per-scope
Scope / Project ready
Why Locus AI Agents?
Purpose-built for teams that need reliable, auditable automation — not a chatbot.
Async by design
Jobs are queued and processed in the background. Your users never wait for a model response — they submit and check back when it's ready.
Secure & isolated
Every tenant and scope is isolated at the storage level. API keys are kept in a secure secrets store, never in code or environment variables.
Model-agnostic
Run Gemini, Claude, or GPT-4 — or mix models across agents in the same scope. Swap providers without changing your integration.
Fully configurable
Tweak an agent's behavior, swap its model, or adjust its capabilities — no redeployment needed.
Observable
Every job is recorded with status, timestamps, input reference, and output reference. Full audit trail out of the box.
Multi-scope
One deployment serves multiple teams and projects. Access policies and agent configs are isolated per scope, keeping workloads cleanly separated.
From idea to result in three steps
No infrastructure to manage. No pipelines to wire. Just configure, call, and collect.
Configure your agent
Define an agent's role, personality, and capabilities in plain text. No code required — describe what the agent should do and which model it should use.
Submit a task
Send any task to your agent via a simple API call. The platform queues the work and runs it asynchronously — your app stays responsive.
Get the result
Poll for completion or receive a callback. When the agent finishes, the full response is ready — structured, auditable, and stored for replay.
Works with the models you trust
Locus AI Agents routes jobs to the right provider automatically based on the agent's configuration.
Default provider. Supports Vertex AI and direct API key.
Anthropic
Direct API key or managed integration.
OpenAI
Direct API key or managed integration.
+ More
Any model with a compatible API can be wired in.
What teams build with Locus AI Agents
Real agents, real configurations — running in production today.
Summarize reports, contracts, and research at scale
Submit any document as a job. The summarizer agent reads the content, extracts key points, and returns a structured summary with risks and follow-up questions flagged.
Automated code review on every pull request
Submit a diff or file to the code-reviewer agent. It checks for correctness, clarity, and maintainability, and returns concrete suggestions with examples.
On-demand code explanation and implementation guidance
Developers submit questions about existing code. The code-helpdesk agent explains behavior, proposes implementation approaches, and flags edge cases.
Enterprise-grade security, by design
Every isolation boundary is enforced by infrastructure, not application logic.
Data never leaves your environment
All job inputs and outputs are stored in secure, private storage with no external access. Your data stays yours.
Secrets managed at runtime
Provider API keys are resolved from a secure secrets store at runtime. They are never in environment variables, code, or logs.
Tenant and scope isolation
Every team and project gets its own isolated space. Data, agents, and jobs from one scope are never visible to another.
Token-based authentication
The Execution API requires a valid token on every request. Credentials are rotatable without redeployment.
Ready to automate your workflows?
Talk to the Locus team and see a live demo with your own use case.