Ship agents, not boilerplate
Voice, phone, knowledge base, multi-agent canvas — all built in. Deploy via REST API. Orchestrate on a visual canvas. Zero vendor lock-in.
You've been here before
You picked LangGraph. Two weeks of reading docs. Three failed prototypes. You switched to CrewAI. Working agent in four hours. Then you hit a wall — custom tool orchestration that CrewAI can't handle.
Now you need voice. That's Twilio + Deepgram + custom TTS. Phone numbers? Another integration layer. Knowledge base? Vector DB setup + embedding pipeline.
Six months later, you're maintaining infrastructure instead of shipping your product.
Everything you'd build. Already built.
API-first, because you'll want to check
REST API with JWT auth
Webhook callbacks for async events
SDKs: Python, Node.js, Go
Embed widget with 3 lines of code
Full OpenAPI spec
bash
# Create an agent
curl -X POST https:var(--color-accent-primary)">"color:#6B7280">//api.bibha.ai/v1/agents \
-H var(--color-accent-primary)">"Authorization: Bearer $TOKEN" \
-H var(--color-accent-primary)">"Content-Type: application/json" \
-d var(--color-accent-primary)">'{
"title": "Support Agent",
"system_prompt": "You are a customer support agent for Acme Corp...",
"tools": ["zendesk", "slack", "gmail"],
"voice": {
"engine": "bibhalabs",
"accent": "en-US",
"personality": "professional"
},
"phone": {
"enabled": true,
"type": "toll-free"
}
}'Visual orchestration that doesn't sacrifice control
The canvas isn't a dumbed-down workflow builder. It's a visual interface for multi-agent orchestration — define agent roles, handoff conditions, parallel execution, and human-in-the-loop checkpoints. Build visually, export as config, deploy via API. Your non-technical stakeholders can see what the system does. You keep full control over how it works.
