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LlamaIndex vs TinyHumans
Provides data indexing for agents, whereas TinyHumans offers full agent runtime and memory.
LlamaIndexFramework for LLM apps and agents over your data
TinyHumansAn open source AI harness built with the human in mindWhich to pick
Pick LlamaIndex if you want…
- Agentic OCR for complex docs
- Data-centric agent apps
- Integrations with Microsoft Azure Marketplace (on LlamaIndex's list, not TinyHumans')
Pick TinyHumans if you want…
- Local-first AI agents with private memory
- Integrations with Claude Code, Codex or OpenRouter (on TinyHumans' list, not LlamaIndex's)
Side by side
- What it is
- LlamaIndex:LlamaParse converts complex documents into structured, AI-ready data with agentic OCR and extraction.
- TinyHumans:OpenHuman is a local-first, open-source AI agent platform that stores private memory and runs workflows on your machine.
- Best for
- LlamaIndex:Agentic OCR for complex docs
- TinyHumans:Local-first AI agents with private memory
- Who it’s for
- LlamaIndex:Developers building AI agents and RAG pipelines that need accurate document parsing.
- TinyHumans:Developers and teams wanting private, persistent AI assistants.
- Pricing
- LlamaIndex:Freemium
- TinyHumans:Freemium
- Plans
- LlamaIndex:Free $0
- TinyHumans:Basic $20/mo per month · Pro $200/mo per month · Pay-as-you-go From $5
- Open source
- LlamaIndex:Yes, 52,381 GitHub stars
- TinyHumans:Yes, 40,624 GitHub stars
- Works with
- LlamaIndex:Microsoft Azure Marketplace
- TinyHumans:Claude Code, Codex, OpenRouter, embeddings, voice, OAuth
LlamaIndex features
- Agentic OCR. Layout-aware parsing of tables, charts, images and handwriting with high accuracy.
- Schema-based Extraction. Turn unstructured content into structured JSON using LLM-powered agents without training.
- Document Splitting & Classification. Automatically segment and categorize documents using natural-language rules.
- Enterprise Indexing. Chunking and embedding pipeline for precise retrieval in RAG applications.
- LiteParse Local Engine. Open-source, fast, on-device parsing of PDFs, Office files and images with no cloud limits.
- Security & Compliance. SOC 2, GDPR, HIPAA compliance with encryption, VPC deployment and granular access controls.
TinyHumans features
- Private memory. Remembers everything about you locally and grows smarter over time.
- One-click setup. Installs and runs the full stack on your computer with a single click.
- Open source core. OpenCompany and Medulla SDK are GPL-3.0 and free to self-host.
- Agent hive mind. OpenCompany lets multiple AI specialists collaborate as a single decision-making entity.
- Unified terminal. Medulla aggregates Claude Code, Codex, OpenRouter agents side-by-side.
- Credit-based usage. Calls are metered as credits; plans include monthly credit allowances.
- Custom model support. You can connect your own inference providers such as Claude Code, Codex or OpenRouter.
LlamaIndex vs TinyHumans FAQ
Is LlamaIndex or TinyHumans free?+
LlamaIndex has a free plan and paid plans. TinyHumans has a free plan; paid plans start at $20/month (Basic).
Is LlamaIndex or TinyHumans open source?+
Yes, both are open source: LlamaIndex (run-llama/llama_index on GitHub, MIT license) and TinyHumans (tinyhumansai/openhuman on GitHub, GPL-3.0 license).
Do LlamaIndex and TinyHumans integrate with the same tools?+
Their integration lists don't overlap: LlamaIndex lists Microsoft Azure Marketplace; TinyHumans lists Claude Code, Codex, OpenRouter, embeddings and 2 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.