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.
2 outlets in our directory ran this story, first to last over 3 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/justnishh/i-built-a-brain-for-ai-coding-agents-it-never-forgets-and-never-stops-5b54 |
| Publication time | Thu, 21 May 2026 11:39:36 +0000 |
| Retrieval time | 2026-05-21T11:51:11.072Z |
| Last seen | 2026-05-21T11:51:11.072Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | pF1_HtPmcYw8 · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).