Free alternatives to Perplexity

A research agent rather than a search box; it returns cited reports and a bill from whichever model you chose.

Versus paying: It produces deeper reports, but each answer is slower, more expensive to run, and less convenient than Perplexity's instant managed search experience.

Setup: Clone/install the Python app or start its Docker Compose stack, then add model and search-provider keys

Watch for: Python or Docker is only the start: a non-expert must select compatible LLM, embedding and search providers, supply keys, and manage per-run API costs

28,840 GitHub stars (checked Aug 6, 2026)

A personal AI that searches the web and your files; broader than Perplexity, and noticeably heavier to run.

Versus paying: It is a broader personal assistant, but its web-search freshness, source coverage, and answer-engine polish are weaker than Perplexity's managed index and research modes.

Setup: Use the hosted app, or self-host the server with Docker or pip and optionally install its desktop/browser/Obsidian clients

Watch for: The hosted app is immediate, but private self-hosting requires Docker or Python, PostgreSQL/pgvector, model configuration and an initial document index

36,300 GitHub stars (checked Aug 6, 2026)

Less search box, more research intern: it searches, iterates and writes cited reports on your own hardware.

Versus paying: It is slower and substantially heavier to operate, especially with local models, than Perplexity's immediate search-and-answer workflow.

Setup: Start the Docker Compose stack, or install the Python package and separately run an LLM endpoint and search backend

Watch for: The nominal quick start still means Docker plus an LLM model and usually SearXNG; local models need substantial RAM/VRAM and several gigabytes of disk

8,900 GitHub stars (checked Aug 6, 2026)

A cited answer engine with a prettier face; Docker quietly brings PostgreSQL, Redis and SearXNG along.

Versus paying: It closely resembles the answer-engine experience, but has a smaller ecosystem and less mature reliability, indexing, and cross-device polish than Perplexity.

Setup: Use the public hosted app, or clone the repo, set an AI key and run the official Docker Compose stack

Watch for: Self-hosting launches PostgreSQL, Redis, SearXNG and the web app and still requires at least one model provider or a separately running Ollama instance

9,000 GitHub stars (checked Aug 6, 2026)

Perplexity with the meter removed: cited answers and deep research, provided you can run one Docker stack.

Versus paying: It removes the subscription meter, but makes you operate the search stack and model backend instead of getting Perplexity's managed index, capacity, and reliability.

Setup: Run the official Docker image with one command; it bundles Vane and SearXNG

Watch for: Requires Docker, a persistent volume and either Ollama with a downloaded model or at least one cloud-model API key

36,010 GitHub stars (checked Aug 6, 2026)