by hermes-labs-ai · Agent Tool · ★ 55
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zer0dex Give a long-running agent local recall without forcing every detail into its prompt: pairs a small, human-readable memory index with semantic retrieval from a local vector store. 0.1.0 is the first supported developer-preview line. The project remains Alpha: expect refinement, but migration notes will precede documented breaking changes during the 0.1.x line. See the compatibility policy. Who needs it is for agent and framework developers who: run agents locally and need memory to persist across sessions; want a compact index that people can inspect and edit; need semantic retrieval for details that do not fit in that index; and can add one local HTTP lookup before a model call. It is especially useful when a flat has become too large, while a vector store alone makes it hard to see wha
| Stars | 55 |
| Forks | 3 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 65.5352576192628/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-04 |
| Created | 2026-03-12 |
| Platforms | claude-code, python |
| Est. Tokens | ~8k |
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zer0dex is zer0dex is a local dual-layer memory pattern for AI agents: a compressed, human-readable markdown index plus a vector store queried automatically before each message. Built for cross-project recall an. It is categorized as a Agent Tool with 55 GitHub stars.
zer0dex is primarily written in Python. It covers topics such as agent-memory, ai-agents, ai-memory.
You can find installation instructions and usage details in the zer0dex GitHub repository at github.com/hermes-labs-ai/zer0dex. The project has 55 stars and 3 forks, indicating an active community.
zer0dex is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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