Tacit

What is Tacit?

Tacit is a powerful context management tool designed to streamline interactions with AI tools like Claude Code. It addresses the common challenge of losing context during AI sessions by capturing every aspect of the conversation — including reasoning, arcs, and decisions — and making this information searchable. With Tacit, users can avoid the frustration of re-establishing context in each session, thus enhancing productivity and decision-making.

How to use Tacit?

1. Download and install the Tacit application on your device (compatible with Mac, Windows, and Linux).
2. Start a session by initiating a conversation with Claude Code, where Tacit will automatically capture all messages and context.
3. After completing the session, use the built-in search feature to quickly find previous sessions and relevant information based on your queries.

What are the main features of Tacit?

• Session Capture: Automatically saves all interactions, including reasoning and decisions made during each session.
• Search Functionality: Full-text search across all sessions, allowing users to find information instantly.
• Session Mapping: Organizes session data into structured columns, highlighting Intent, Decisions, Context, Blockers, and Outcomes.
• Export Options: Ability to export session data to HTML or PDF formats for easy sharing and reference.
• Cross-Platform Support: Available as a native desktop application for Mac, Windows, and Linux.

Who is Tacit for?

Tacit is designed for developers and professionals who frequently engage with AI tools like Claude Code and require a reliable way to maintain context across multiple sessions. It is particularly beneficial for those who run numerous sessions weekly and have experienced the challenges of lost context, making it ideal for teams and individuals focused on maximizing productivity and efficiency in their AI interactions.

What are the use cases of Tacit?

1. Software Development: Developers can use Tacit to document and reference past coding sessions, improving collaboration and reducing redundancy.
2. Project Management: Teams can track decisions and project evolution over time, ensuring that everyone is aligned on objectives and outcomes.
3. Research and Analysis: Researchers can capture insights from AI-assisted analysis sessions, creating a searchable knowledge base for future reference.