Three Projects Split AI Memory, Reasoning, Orchestration

Three emerging projects — Recursive Language Models from MIT, OpenClaw, and CORE from RedPlanet — split AI capabilities into deep reasoning, persistent orchestration, and institutional memory. Benchmarks cited include RLMs handling inputs 100x model limits with a 58% reasoning score versus near-zero for GPT-5, and CORE achieving 88% temporal accuracy; integrating these layers could reduce hallucinations and improve enterprise AI reliability.
Scoring Rationale
Strong architectural framing and reported benchmarks; limited by company-principal sources and lacking broad independent replication.
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