Akir

Akir is an AI workspace tool that builds cumulative project knowledge so you stop re-explaining context to ChatGPT and Claude on every new chat. Standard LLM chat interfaces start each thread blank, so you waste the first several prompts re-uploading files and describing where you left off, and long threads accumulate noise that degrades the model's answers. Akir's answer is a persistent Knowledge Ledger: you upload documents, run chats, and commit verified facts, hypotheses, and project history to the ledger, and every future thread automatically loads that compiled context. Exploration happens in parallel branched threads, but the verified facts flow back into one shared workspace, so your context stays structured instead of scattered across tabs. Akir also lets you run side-by-side model comparisons, so you can put the same question to different models in one place. Pricing is positioned as pay-for-what-you-use rather than a monthly seat, with founding users getting locked-in rates during the beta. It is built for developers, researchers, and creators running multi-session projects who want an AI workspace with persistent memory instead of repeatedly briefing the model from scratch.

Best for developers, researchers, and creators on multi-session projects who are tired of re-briefing ChatGPT and Claude on every new thread.