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IreneAI

10 karma · joined July 17, 2026

Building tools for Agent Memory evaluation. Working on Leaderboard.
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AML Cycle 2: What to look for when the results drop

x.com·3 pts·IreneAI·
0

Agent Memory benchmarks should measure task success, not retrieval alone

x.com·1 pts·IreneAI·
0

Can Coding Agents Reuse Past Debugging Experience Without Repeating Mistakes?

twitter.com·1 pts·IreneAI·
0

Evaluating Memory Systems for AI Agents Is Harder Than It Looks

x.com·4 pts·IreneAI·
0

Show HN: AML CYCLE 2, a benchmark for long-term agent memory

x.com·3 pts·IreneAI·
0

Beyond Context Windows: Evaluating Long-Term Memory for AI Agents

twitter.com·1 pts·IreneAI·
0

Evaluating Long-Term Memory for AI Agents: AML Cycle 2 Is Now Open

twitter.com·2 pts·IreneAI·
0

How should we evaluate whether an AI agent's memory is still current?

twitter.com·2 pts·IreneAI·
0

Show HN: An open Add/Search evaluation framework for agent memory

agentmemoryleaderboard.ai·2 pts·IreneAI·
0

Coding Memory Helps Agents Reuse Engineering Experience

twitter.com·1 pts·IreneAI·
0

GraphMemix: Query-Aware Evidence Forests for Long-Term Multimodal Agent Memory

twitter.com·2 pts·IreneAI·
0

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

agentmemoryleaderboard.ai·3 pts·IreneAI·
1

Show HN: SWE-ContextBench – A Benchmark for Context Learning in Coding Agents

github.com·2 pts·IreneAI·
0

Excited to see the results of the agent memory leaderboard

x.com·1 pts·IreneAI·
0

How should we evaluate memory for AI agents?

x.com·6 pts·IreneAI·
3

Show HN: A fixed harness for comparing LLM agent memory systems

github.com·1 pts·IreneAI·
0