Akir is an AI workspace engineered to eliminate context loss experienced in traditional AI chat applications like ChatGPT and Claude. Developed by Phani Saripalli, Akir aims to improve project workflows by enabling developers, researchers, and creators to build cumulative, long-term project knowledge across multiple sessions rather than starting from scratch each time.
At the center of Akir is its Knowledge Ledgerāa persistent memory system. Users can upload project documents and explicitly commit verified facts to the ledger. As a result, every new chat thread created within a workspace automatically starts with all critical project context pre-loaded, eliminating repetitive re-briefing.
Beyond context retention, Akir includes dedicated features for context-heavy workflows. Users can perform side-by-side model comparisons to evaluate different AI outputs, utilize thread branching to explore alternative ideas without cluttering the main project context, and organize complex projects with built-in workspace management tools.
Akir is an AI workspace designed to maintain cumulative project context across chat sessions, preventing memory loss and saving users from having to re-brief the AI continuously.
Akir utilizes a persistent Knowledge Ledger where users can upload documents and commit verified facts into the workspace, ensuring all future chat threads automatically inherit the project context.
Akir offers document uploading, a persistent Knowledge Ledger, side-by-side model comparisons, thread branching, and structured workspace organization.
Akir is built primarily for developers, researchers, and creators who manage long-term or context-heavy projects.
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Improving project experience using AI
