GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Examor uses LLMs such as Claude2 and GPT-4 within an app framework inspired by Ebbinghaus memory theories.
Good fit when
- When aiming to optimize learning with artificial memory retention strategies for students, scholars, or interview preparation.
- For users who need personalized study guides that adapt based on their interaction history.
Avoid when
- If you require direct integration with non-supported platforms like AWS Bedrock or Anthropic models not including Claude2.
- When looking for a more generalized tool without specific learning and memory application features, such as pure code debugging assistance.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (459d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install examorSimilar 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
A tool aimed at aiding users with learning through the assistance of LLMs like Claude2 and GPT-4 within an application framework inspired by theories such as Ebbinghaus memory.
Capability facts
- Languages
- typescript
Source: github.language · Sep 20, 2026
Categories
Tags
README
License AGPL 3.0 license © 2023 Present leyoonafr
For agents
This page has a .md twin and JSON over the API.