The agent backend for your app
General Augment gives your product a secure backend for in-app chat, messaging channels, memory, tools, and proactive agent workflows - without building the agent platform yourself.
Adding AI chat is easy for a demo. Shipping it in production is not.
The hard parts begin after the demo: user identity, memory, tools, approvals, message delivery, retries, costs, logs, security reviews, and model upgrades. General Augment gives your app the agent backend those features need.
Three steps to a production agent
Connect your app, users, tools, and channels
Link General Augment to your existing app backend. Bring your user accounts, APIs, data sources, and the messaging channels your users already use.
Configure one secure agent with memory, policies, and model preferences
Define tools, memory scope, safety policy, identity rules, usage budgets, and model routing. One configuration governs the agent across all surfaces.
Use that agent from your backend, chat, messaging, and jobs
The same tenant agent answers in-app chat, runs backend workflows, delivers via WhatsApp/SMS/Telegram, and executes scheduled briefings - all governed centrally.
One agent across every surface your users are on
Configure a single tenant agent with your tools, memory, and policies. That same agent handles in-app chat, runs background workflows, and delivers through WhatsApp, SMS, and Telegram - identity linked back to your app users throughout.
No per-channel agents to maintain. No drift between what your app does and what your messaging bot says.
Everything a production agent backend needs
Add an agent without rebuilding your app
Keep your existing product and backend. General Augment adds the agent layer around it: chat, memory, tools, identity, observability, and messaging.
Open Responses-compatible API
Use POST /v1/responses so your backend can adopt General Augment with a familiar OpenAI-style interface. No vendor lock-in.
Memory without another vector database
Store and search user memory through managed pgvector-backed memory and provider-agnostic embeddings. No separate infrastructure to operate.
Tools, MCP, and approvals
Connect APIs, generate tools from OpenAPI specs, use MCP servers. Apply validation, timeouts, approval gates, audit logs, and credential boundaries.
Messaging channels built in
Deliver the same agent through in-app chat, WhatsApp, SMS, and Telegram. Channel identities are linked back to your app users automatically.
Usage, cost, and safety controls
Track agent turns, tokens, tool calls, channel delivery, and costs per tenant. Enforce budgets before model dispatch. Full audit trail included.
Works like an API you already know
General Augment exposes an OpenAI Responses-compatible endpoint. Your backend, jobs, and product chat all call the same API - with memory, identity, tools, and channel delivery handled automatically.
curl https://api.generalaugment.com/v1/responses \
-H "Authorization: Bearer $GA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "balanced",
"input": "Build a morning briefing for this user",
"user": "app-user-123",
"metadata": {"source": "spark"}
}'Built for agent-powered products
Proactive personal assistant
Daily briefings, meeting prep, smart alerts. One agent answers in-app and pushes to the channels your users prefer.
Care navigation
Secure patient messaging with escalation paths, task follow-up, and policy-aware tool calls. Full audit trail.
Policy-aware support agent
Marketplace or fintech app support with approvals, audit logs, and budget enforcement baked in before dispatch.
Tool-using product assistant
Connect your product APIs as tools. Let the agent answer questions, run operations, and surface results in-app or via message.
Scheduled briefings & alerts
Background agent jobs that run on a schedule, pull from product data, and deliver briefings via Telegram, SMS, or WhatsApp.
Multi-client agent infrastructure
Multi-tenant isolation means you can run agent features for multiple clients on one platform without shared state or credential exposure.
Built for teams that need to ship with confidence
General Augment was designed with multi-tenant isolation, credential safety, and audit requirements from the start - not bolted on afterward. GCP-first deployment with GKE, Cloud SQL, Redis, KMS, Secret Manager, and Vertex AI.
Simple, usage-based pricing by agent turns
- 1 app
- 1,000 monthly active users
- 10,000 agent turns / mo
- 5 tools
- In-app chat channel
- 1 app
- 10,000 monthly active users
- 100,000 agent turns / mo
- 20 tools
- All messaging channels
- 100,000 monthly active users
- 500,000 agent turns / mo
- Custom & private MCP tools
- All messaging channels
- Priority support
- SLA & security review
- Data residency controls
- Optional dedicated deployment
- Custom onboarding
- Design partner access
SMS/WhatsApp delivery and complex model usage may be billed separately. Telegram has no provider delivery fee but still counts as agent turns.
Your product should not build its own agent platform
Start shipping AI features your users actually experience - not infrastructure your team maintains.