Category · AI agent infrastructure
Agent infrastructure: vector DBs, inference, observability, and search.
agent_infra is what builders touch when they're wiring up RAG, an agent loop, or an LLM application. Magpie covers the vector DB layer (Pinecone), inference (Together AI, Groq, Hugging Face), observability (Helicone, Langfuse), web search APIs (Tavily), and self-hostable model runners (Ollama, Replicate). Picks favour OSS-first or generous free-tier pricing over enterprise contracts.
9 tools in this category. Curated and scored by Magpie's six-dimension rubric.
Ollama
The easiest way to run open language models locally
Free·Solopreneur → Growth
Pinecone
Reference vector database for RAG and semantic search — Starter tier is free up to 2GB
Free
Hugging Face
The model hub the open-source AI ecosystem runs on — free Spaces, $9 PRO, $20/user Team
Free
Replicate
Run, fine-tune, and deploy AI models with one line of code
Free·Solopreneur → Growth
Groq
Sub-second LPU inference — Llama 3.1 8B at 840 tokens/sec for $0.05/M input
Free
Helicone
Open-source LLM observability — 10K free requests, OpenAI/Anthropic/Together drop-in proxy
Free
Langfuse
Open-source LLM observability and evals — Hobby tier free, $29/mo Core, self-hostable
Free
Tavily
Web search API designed for AI agents — 1,000 free credits/mo, $0.008/credit PAYG
Free
Together AI
Cheap, fast inference for open models — Llama 3.3 70B at $0.88 per million tokens
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