Fetching from the wire…
Public story · 2026-03-02 · source-backed
Four new frameworks in one day — each with 6K-12K stars — signal that agent memory has graduated from "feature" to "product category":
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I check Product Hunt maybe once a week and usually regret it. Today's board is worth reading as market structure. The July 30 leaderboard: SKI at 277 upvotes (free voice input for Claude Code and Codex). AI Search Console at 249 (prompt analytics and citation mapping). Memmy A...
38. OpenSpec 39. Ruflo 40. Pi-Mono 41. K-Dense-AI Claude Scientific Skills 42. EdgeQuake 43. Prek 44. Personal AI Infrastructure 45. memU 46. Memori 47. MemOS 48. Microsoft LiteBox 49. WiFi DensePose 50. Anthropic Claude Plugins Official 51. Agent Skills for Context Engineerin...
Three competing approaches to agent memory all trending simultaneously: - ReMe (1.7K stars) — File-first, stores as readable Markdown. Lightweight. GitHub - MemOS (6.2K stars) — Graph-based memory OS. Claims 43.7% higher accuracy vs OpenAI Memory. GitHub - Context Engineering...
Memori turns agent execution traces into structured persistent state, outperforming Zep, LangMem, and Mem0 on the LoCoMo benchmark while reducing prompt size by 67% vs Zep. Python and TypeScript SDKs. If you're building agents that need memory, benchmark this against whatever...
claude-mem hit 80,189 stars at v12.6.4, with 1,840 commits and 109 contributors. It hooks five agent lifecycle events to capture observations, compresses them through Claude's agent SDK into SQLite, and reinjects relevant context on new sessions. No manual tagging. One npx com...
Eight thousand stars in a single day. That's what happened when Warp open-sourced its Rust-based, GPU-accelerated terminal on April 28. The repo shot to 47.9K total stars, making it the highest-velocity project on GitHub this week by a wide margin. But the interesting part isn...
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