| Category | LLM APIs & Inference | AI Agent Frameworks |
| Pricing | Free + Pro plans | Free (open-source) |
| GitHub Stars | ✓ More stars | |
| Platforms | Web, Docker | macOS, Linux, Windows, WSL2, Docker |
| Key Features | - ✓ AI gateway
- ✓ Fallbacks
- ✓ Load balancing
- ✓ Caching
- ✓ Observability
| - ✓ Local-first personal AI agents
- ✓ Built-in Ollama support
- ✓ Morning briefing preset
- ✓ Deep research across web and local documents
- ✓ Code assistant preset
- ✓ Local engines: Ollama, vLLM, SGLang, llama.cpp
- ✓ Optional cloud engines
- ✓ Energy, cost and latency-aware routing
|
| Pros | - + Automatic fallbacks
- + Load balancing
- + Request caching
- + Observability built-in
- + Open-source gateway
| - + Strong fit for Ollama-based local agent workflows
- + Apache-2.0 open-source project
- + Ships ready-to-run presets instead of only framework primitives
- + Supports both local engines and optional cloud escalation
- + Built around privacy, cost, latency and energy as first-class constraints
|
| Cons | - − Added infrastructure layer
- − Learning curve
- − Some features need Pro
- − Latency overhead
| - − Young v1.0 project with fast-moving docs and releases
- − Local-first does not mean cloud-free unless configured that way
- − Personal-agent presets may need access to sensitive local files, email or calendar data
- − Efficiency claims are project-reported and should be tested on your own workloads
|
| Tags | gatewayreliabilityobservabilityapi | open-sourcelocal-firstpersonal-aiagentsollamalocal-airesearchpython |