GraphCanon updated 1w · GitHub synced 1w
Decision brief
LLocalSearch is a locally-running search engine that leverages language model agents to find answers without needing external API keys.
Good fit when
- When you prefer local processing for privacy reasons
- If you want to track the progress of AI agent operations in detail
Avoid when
- In environments where cloud-based solutions are mandatory due to company policies
- If real-time responses are required as LLocalSearch might have latency issues depending on local resources
- Pricing:
- freemium - Free to use, but customization or complex setups may require additional expertise
- Requirements:
- Min 4 GB RAM; Requires Docker
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (5,955) are secondary evidence.
- Docker Hub pulls (30d)
- 200·Docker Hub API·1w
Maintenance and security
Full trust report- Maintenance
- Archived (136d since push)
- As of 1w
- Provenance
- Not a fork · Personal account
- As of 1w
- Security (OSV)
- 15 low (15 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/nilsherzig/LLocalSearchSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
LLocalSearch is a local search engine that aggregates information using chains of language model agents, allowing users to track progress and view final answers without requiring external API keys.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 7, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 7, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 7, 2026
- Languages
- go, javascript, typescript
Source: github.language+package.json · Aug 7, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 7, 2026)
code .env # open file with vscodeSource link
Tags
README
Docker 🐳
- Clone the GitHub Repository
git@github.com:nilsherzig/LLocalSearch.git
cd LLocalSearch
- Create and edit an
.envfile, if you need to change some of the default settings. This is typically only needed if you have Ollama running on a different device or if you want to build a more complex setup (for more than your personal use f.ex.). Please read Ollama Setup Guide if you struggle to get the Ollama connection running.
touch .env
code .env # open file with vscode
nvim .env # open file with neovim
- Run the containers
docker-compose up -d
For agents
This page has a .md twin and JSON over the API.