ArkhamMirror
Local-first AI-powered document intelligence platform for investigative journalism
GraphCanon updated Aug 13, 2026 · GitHub synced Aug 13, 2026
37views this month
Decision brief
ArkhamMirror is a privacy-focused, self-hosted document intelligence platform with entity extraction and knowledge graph creation capabilities tailored for investigative journalists in air-gapped environments.
Good fit when
- When handling sensitive data that requires strict privacy controls and confidentiality
- For offline AI analysis and processing tasks in environments without internet access
Avoid when
- When you require cloud-based services or real-time collaboration features that are not available in a self-hosted solution
- For general-purpose document intelligence tasks that do not involve investigative journalism or detailed privacy requirements
- Requirements:
- Min 8 GB RAM; Requires Docker
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (199d since push)
- As of Aug 13, 2026
- Provenance
- Not a fork · Personal account
- As of Aug 13, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install ArkhamMirror PyPISimilar 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
ArkhamMirror is an open-source, privacy-first, self-hosted document intelligence platform tailored for investigative journalism, offering local LLM support and edge-ai capabilities with a focus on entity extraction, knowledge graph creation, and offline analysis.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 13, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 13, 2026
- Languages
- python
Source: github.language · Aug 13, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 13, 2026)
python -m spacy download en_core_web_smSource link
Tags
README
Install the Frame cd packages/arkham frame pip install e . Install all shards (or select specific ones) for dir in ../arkham shard /; do pip install e "$dir" done Install spaCy model python m spacy download en core web sm Install UI dependencies cd ../arkham shard shell npm insta...
For agents
This page has a .md twin and JSON over the API.