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Show HN: Agent Memory Leaderboard – first public results for AI memory systems

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Show HN: Agent Memory Leaderboard – first public results for AI memory systems
TL;DR · WeSearch summary

The Agent Memory Leaderboard is a public benchmark for comparing textual and coding-agent memory systems using a consistent evaluation flow. It offers separate tracks for textual memory and coding agent memory, with a hosted Add/Search API and optional GitHub repository submissions. The first-cycle results are scheduled for release in mid‑August, and academic submissions are currently open.

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Agentmemoryleaderboard
Read full at Agentmemoryleaderboard →

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Original publisherAgentmemoryleaderboard
Canonical URLhttps://agentmemoryleaderboard.ai/leaderboard/academic/textual
Publication timeThu, 13 Aug 2026 03:09:45 +0000
Retrieval time2026-08-13T03:55:46.858Z
Last seen2026-08-13T03:55:46.858Z
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Summary source textcontentText
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Cluster_jjG5EbX4VV0 · 1 stories
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Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Agent Memory Leaderboard Home Competition Leaderboard Evaluation Documentation API Guide Benchmark Contribution ENEnglish 中中文 SlateCool and precise EmberWarm and editorial SignalBright and technical HarborCalm and professional NocturneDark and focused OPEN BENCHMARK Agent Memory Leaderboard A public benchmark space for comparing textual and coding-agent memory systems under a consistent evaluation flow. View Leaderboard Submit Evaluation Request Read Documentation Submit Evaluation Request Leaderboard Preview Textual Coding Open Full Textual Board Benchmark Tracks Each track keeps its own result table and detailed metric breakdown. Textual Memory Long-context, persona, script, and conversation-memory benchmarks.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Agentmemoryleaderboard.

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