Morphic vs Local Deep Research
Two of the top search, side by side: score, setup, license, activity and what each review found.
Morphic
Search engine that answers with citations and renders rich inline components
Local Deep Research
Agentic research assistant with local LLMs, SearXNG and encrypted libraries
| What we compare | Morphic | Local Deep Research |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 29, niche | 42, known |
| Freshness | 100, active | 100, active |
| Maintenance | 95, healthy | 75, fair |
| Easy to run | 67, easy | 67, easy |
| Agent-ready | 70, partly | 0, none |
| Facts from GitHub and the README | ||
| Stars | 9.2k | 9.2k |
| License | Apache-2.0 (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Sep 2026 | Aug 2026 |
| Language | TypeScript | Not stated |
| Docker | Yes | Yes |
| GPU | Not stated | Optional |
| arm64 or Apple Silicon | Not stated | Mentioned |
Morphic
Morphic runs web searches and returns cited answers, rendering inline components such as images, grids and headings from a streamed JSON spec instead of plain markdown. It offers Quick and Adaptive search modes and works with OpenAI, Anthropic, Google, Ollama, Vercel AI Gateway and OpenAI-compatible models. Docker Compose brings up PostgreSQL, Redis, SearXNG and the app, with chat history stored in PostgreSQL.
Who it is for: Self-hosters wanting a cited AI search UI with their own models
Strengths
- Compose file bundles PostgreSQL, Redis and SearXNG, so no search API key is required
- Supports Tavily, SearXNG, Brave and Exa as search providers
- Model selector detects providers, including local Ollama and OpenAI-compatible endpoints
- Auth is switchable between Supabase, better-auth and none
Weaknesses
- Full stack needs four containers: PostgreSQL, Redis, SearXNG and the app
- Supabase is the default auth provider unless ENABLE_AUTH=false or AUTH_PROVIDER is set
- Needs at least one AI provider API key or a local Ollama setup
- README gives no RAM or hardware requirements
- Docker + Compose
- Needs PostgreSQL, Redis, SearXNG, Supabase Auth (optional)
- Models: OpenAI, Anthropic, Google, Ollama, Vercel AI Gateway
- port 3000
Local Deep Research
Runs multi-step research across the web, academic engines and your own documents using Ollama or any OpenAI-compatible endpoint, with a LangGraph agent that picks engines adaptively and writes cited reports. Each user gets an AES-256 SQLCipher database, and egress scopes limit which engines and providers a run may use. Web UI on port 5000 via Docker, Compose or pip, for privacy-focused researchers.
Who it is for: Privacy-focused researchers running everything locally
Strengths
- Reports about 95% SimpleQA fully local on one RTX 3090 with Qwen3.6-27B
- Per-user SQLCipher databases; keys derived from the password, never stored
- No telemetry; Docker images signed with Cosign, with SLSA provenance and SBOMs
- Downloaded sources build a searchable, embedded personal library
Weaknesses
- Needs Ollama (or an LLM endpoint) and SearXNG running separately
- Private or localhost engine URLs are blocked unless an operator env var allows them
- Requires an AVX-capable x86-64 CPU; older CPUs crash with Illegal instruction
- docker run --network host only works on native Linux; Docker Desktop needs Compose
- GPU optional
- Docker + Compose
- Needs Ollama or OpenAI-compatible LLM endpoint, SearXNG, SQLCipher (bundled wheels)
- Models: Ollama models (e.g. gpt-oss:20b, Qwen3.6-27B), any OpenAI-compatible endpoint
- port 5000