by vektori-ai · Agent Tool · ★ 123
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Vektori Memory that remembers the story, not just the facts. GitHub · Issues · Docs 👋 Questions, ideas, bugs → GitHub Issues · [Discussions](https
| Stars | 123 |
| Forks | 9 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.1945621730708/100 |
| Open Issues | 25 |
| Last Updated | 2026-06-18 |
| Created | 2026-03-23 |
| Platforms | python |
| Est. Tokens | ~17k |
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vektori is Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.. It is categorized as a Agent Tool with 123 GitHub stars.
vektori is primarily written in Python. It covers topics such as ai-agents, ai-memory, anthropic.
You can find installation instructions and usage details in the vektori GitHub repository at github.com/vektori-ai/vektori. The project has 123 stars and 9 forks, indicating an active community.
vektori is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to vektori on Agent Skills Hub include pensyve, mira-OSS, captain-claw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.