I built a "brain" for AI coding agents — it never forgets and never stops
Nishant Nakum has developed a new AI coding tool called Long-Horizon that enhances the capabilities of AI agents by providing them with persistent memory. This tool allows the AI to autonomously execute tasks without needing constant prompts, effectively managing subtasks and retaining knowledge. Long-Horizon operates offline and integrates seamlessly with various coding tools, aiming to improve productivity for developers.
- ▪Long-Horizon enables AI coding agents to work autonomously by maintaining a persistent graph memory.
- ▪The AI can decompose tasks into subtasks and execute them in a loop without needing prompts between steps.
- ▪It builds a web of project knowledge over time, allowing it to resume tasks perfectly after interruptions.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3943985) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Nishant Nakum Posted on May 21 I built a "brain" for AI coding agents — it never forgets and never stops #programming #ai #opensource #productivity I got tired of re-explaining context to my AI every single prompt. It forgets what it did 5 minutes ago. It stops after one step and waits. You end up babysitting it more than coding yourself. So I built Long-Horizon — a skill that turns any AI coding tool into an autonomous agent with a persistent graph memory.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
