Fast transcript search for humans and agents. Supports Claude Code, Codex CLI, and OpenCode. Uses BM-25 and optional embeddings for hybrid search. Intended for agents to retrieve past session details.
git clone https://github.com/nicosuave/memex.gitThe memex skill is designed for efficient transcript searching, catering to both humans and AI agents. It supports Claude Code, Codex CLI, and OpenCode, making it a versatile tool for developers and AI practitioners. With its intermediate complexity, memex allows users to quickly locate specific information within transcripts, streamlining the process of data retrieval. This skill is particularly beneficial for teams that rely on extensive documentation or communication logs, enabling them to save time and enhance productivity. One of the key benefits of memex is its ability to significantly reduce the time spent searching for relevant information. By leveraging advanced search capabilities, users can quickly pinpoint crucial data points, thus accelerating decision-making processes. Although the exact time savings are not quantified, the efficiency gained from rapid transcript searches can lead to substantial improvements in workflow automation. This skill is ideal for developers, product managers, and AI practitioners who require quick access to information for project development and management. Memex is particularly useful in scenarios where teams need to analyze meeting notes, customer interactions, or any form of recorded dialogue. For example, a product manager can use memex to swiftly find feedback from past meetings, enabling them to make informed decisions without sifting through lengthy transcripts. Similarly, AI agents can utilize this skill to enhance their responses by accessing relevant historical data, thus improving user interactions. Implementing memex is straightforward, with an estimated time of 30 minutes to get started. Its intermediate difficulty level means that users should have some familiarity with automation tools and coding practices. By integrating memex into AI-first workflows, organizations can enhance their operational efficiency, ensuring that both human and AI agents can work seamlessly together to achieve optimal results.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/nicosuave/memexCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Search my Memex history for information about [COMPANY] in the [INDUSTRY] sector. Focus on insights related to [DATA] and any trends or patterns observed. Provide a summary of key findings and any relevant context.
## Search Results for [COMPANY] in the [INDUSTRY] Sector ### Key Findings - **Market Position**: [COMPANY] is a leading player in the [INDUSTRY] sector, with a strong focus on innovation and sustainability. - **Recent Trends**: The company has shown a significant increase in market share over the past year, driven by strategic acquisitions and product launches. - **Customer Feedback**: Analysis of customer reviews indicates high satisfaction with product quality but some concerns about after-sales service. ### Relevant Context - **Competitive Landscape**: [COMPANY] faces stiff competition from [COMPETITOR], which has been gaining market share through aggressive pricing strategies. - **Regulatory Environment**: Recent changes in [INDUSTRY] regulations have impacted [COMPANY]'s supply chain, leading to delays in product delivery. ### Recommendations - **Strategic Focus**: Continue investing in R&D to maintain a competitive edge. - **Customer Service**: Address service issues to enhance customer loyalty. - **Supply Chain Management**: Diversify suppliers to mitigate regulatory risks.
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