v1.0.0
Initial ReleaseAgentlify is Live
The first public release of Agentlify. Deploy agents like functions, call them like models. Steps, skills, streaming — built in.
Agent Platform
- Deploy AI agents with a single API call via the dedicated /api/agents endpoint
- Multi-step agent workflows with composable steps: Research → Plan → Execute → Review
- Real-time streaming of tool calls, step outputs, and reasoning tokens
- Agent triggers — invoke agents via HTTP webhooks with Bearer token auth
- Agent scheduling for recurring tasks and automated pipelines
- Forkable agent templates — one-click to deploy or customize
Smart Router
- 35+ models routed across OpenAI, Anthropic, Google, Mistral, and more
- Per-request model selection optimized for cost, latency, quality, and carbon
- Configurable optimization weights with preset profiles (balanced, cost-saver, quality-first, low-latency)
- Automatic fallback chains — if a model fails, the next best is tried instantly
- OpenAI SDK compatible — change your baseURL, keep your code
Skills & Knowledge
- Skills library with reusable skill packs agents can reference
- Custom skill creation with structured knowledge and when-to-use triggers
- Knowledge bases — upload documents, auto-embed, and attach to agents
- Skill and knowledge versioning for reproducible agent behavior
Developer Experience
- agentlify npm package — install and call agents from any JS/TS project
- OpenAI SDK drop-in compatibility for both router and agent endpoints
- Python, cURL, and JavaScript examples in every docs page
- Interactive playground for testing agents and routers in the dashboard
- API key management with mp_ prefixed keys and per-key usage tracking
Dashboard & Analytics
- Full dashboard for managing agents, routers, skills, and knowledge bases
- Request-level analytics with routing decisions, latency, and cost breakdown
- Agent run history with step-by-step execution traces
- Credit balance, auto-refill settings, and transaction history
Billing & Plans
- Pay-per-token pricing at $0.50 per 1M platform tokens
- Provider costs passed through at cost with zero markup
- Credit-based system with subscription plans (Agent Starter & Agent Pro)
- Stripe-powered card management and auto-refill
Infrastructure
- Firebase-hosted with Cloud Functions for serverless agent execution
- SSE streaming over HTTP for real-time agent output
- Rate limiting and request validation on all endpoints
- Carbon observability — CO₂e tracking per request based on model and region
Documentation
- Comprehensive docs covering getting started, API reference, and SDK guides
- Agent creation, triggers, schedules, skills, steps, and tools docs
- Streaming, error handling, and cost optimization guides
- Interactive code examples with copy-to-clipboard in JS, Python, and cURL