by vincentkoc · Agent Tool · ★ 22
Agents are only as good as their context but most context lives in scattered traces: coding agent sessions, IDE chats, tool calls, and personal messages. We wanted a continual learning context engine that can securely extract memory from real activity, so agents can cold-start with high-signal history and stay current as you work
| Stars | 22 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 28.3/100 |
| Open Issues | 3 |
| Last Updated | 2026-04-30 |
| Created | 2026-02-06 |
| Platforms | python |
| Est. Tokens | ~35k |
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openamnesia is Agents are only as good as their context but most context lives in scattered traces: coding agent sessions, IDE chats, tool calls, and personal messages. We wanted a continual learning context engine . It is categorized as a Agent Tool with 22 GitHub stars.
openamnesia is primarily written in Python.
You can find installation instructions and usage details in the openamnesia GitHub repository at github.com/vincentkoc/openamnesia. The project has 22 stars and 2 forks, indicating an active community.
openamnesia is released under the GPL-3.0 license, making it free to use and modify according to the license terms.