Ship AI agents that humans trust
Two products. One mission. AGR governs every action your agents take. Company Box puts a full engineering team in one person's hands — with you in control of every deploy.
Built for the agent era
AGR gives developers a governance layer they can trust. Company Box gives individuals the output of a full engineering team. Both run on the same infrastructure.
Agentic Governance Runtime
A Cedar policy engine that sits between your AI agents and the tools they call. Every action evaluated in under 2ms — formally verified, not probabilistic. Sensitive actions suspend into a Temporal approval workflow until a human decides.
- Cedar policy engine — formally verified, deterministic. Not an LLM call, not probabilistic.
- Durable approvals — Temporal workflows suspend indefinitely, consuming zero compute while waiting.
- Hash-chained audit trail — tamper-proof, partitioned, append-only. SOC 2 ready.
- Framework plugins — LangGraph
@agr_governed, CrewAIAGRToolWrapper, REST API. - Multi-tenant RLS — org-scoped policies, zero cross-contamination. Free tier: 10k evals/month.
from agr import AGRClient agr = AGRClient(api_key="agr_sk_...") result = agr.evaluate(agent, action, resource)
Your AI engineering team
Type a plain-English requirement. Five AI agents run in sequence — writing spec, architecture, code, tests, and deploying to staging automatically. You approve production. Every agent action governed by AGR at every step.
- 5-agent pipeline — PM spec → architecture → code → tests → deploy. Claude Sonnet at every step.
- Real GitHub commits — code lands in your repo, on a branch, as a pull request.
- E2B sandboxes — code runs in an isolated cloud environment before touching your repo.
- QA retry loop — failed tests automatically feed back to the Coder agent (max 3 retries).
- Approval inbox — production deploys need your sign-off. Always. One click, no login.
Three types of builders
From a solo developer governing one agent to infrastructure teams running entire fleets — Shreeja AI meets you where you are.
AI infrastructure teams
Teams building internal agent platforms on LangGraph, CrewAI, or AutoGen who need a single governance layer their compliance team can actually audit.
Solo founders & indie hackers
One-person companies who need to ship features as fast as a funded team — without hiring a single engineer or waiting weeks for a contractor.
Startups building on agents
Early-stage teams using LLMs to automate engineering who need auditability and a way for non-technical co-founders to ship independently.
Architecture in 60 seconds
Select a product to see how it works under the hood.
Policy permits. Agent executes immediately. Logged to tamper-proof audit trail with policy ID.
Policy forbids. Agent does not execute. Logged with policy ID and exact deny reason.
Temporal workflow suspends. Slack + email sent. Resumes when human decides. Can wait days — consuming zero compute.
forbid ( principal, action == Action::"db.drop", resource); forbid ( principal, action == Action::"fs.write", resource == Resource::"prod/*" ) unless { principal in Role::"senior-eng" };
permit ( principal in Role::"devops", action == Action::"deploy.staging", resource); permit ( principal, action == Action::"deploy.production", resource) when { context.approval_status == "approved" };
One decorator. Full governance.
Wrap any LangGraph tool with @agr_governed — zero refactoring of your existing tool code.
# Before AGR — no governance @tool def deploy_to_production(branch: str) -> str: # runs unconditionally — no policy checks return run_deploy(branch) # After AGR — one decorator, zero refactoring from agr.plugins.langgraph import agr_governed from agr import AGRClient agr = AGRClient(api_key="agr_sk_...") @agr_governed(agr, agent_id="devops-001") @tool def deploy_to_production(branch: str) -> str: # Cedar evaluates before every call # ALLOW → executes immediately # DENY → raises PermissionError # APPROVAL_REQUIRED → suspends, emails human # zero compute while waiting return run_deploy(branch)
import { AGRClient } from '@agr/sdk' const agr = new AGRClient({ apiKey }) const result = await agr.evaluate({ agent, action, resource })
Two products, one flywheel
AGR and Company Box reinforce each other. Every Company Box run is a live production test of AGR. Every AGR user is a potential Company Box customer.
AGR attracts agent developers
Teams building on LangGraph, CrewAI, and AutoGen need a governance layer their compliance team can audit. AGR is the obvious choice.
Company Box is the best AGR demo
CB runs entirely on AGR. It is the most complex consumer of AGR in production. Every CB run is a live end-to-end test of the governance layer.
CB users graduate to AGR
When a solo founder hires their first engineer, AGR is the first SDK they reach for. The mental model is already installed.
Scale hardens both products
Every CB evaluation stress-tests AGR at scale. Volume reveals edge cases, drives performance, and builds the policy dataset that powers better defaults.
Start governing your agents today
AGR is free up to 10,000 evaluations a month. Add governance to your first agent in 5 minutes. Company Box is in private beta — join the waitlist.