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AI Agents & Chatbots Checked Jul 13, 2026

Google Titans+MIRAS

A neural memory architecture that utilizes surprise-based weight updates to maintain context across virtually infinite sequence lengths.

Best for: Large-scale codebase refactoring and autonomous agents requiring persistent state across million-token contexts.

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What you can do with it

Maintaining global state in multi-repository code migration projects
Executing long-horizon planning for autonomous agentic workflows
High-fidelity retrieval from multi-gigabyte document corpora without external vector indexing

Good to know

Handles massive 2M+ token contexts
Persistent long-term memory hierarchy
Reduces need for complex RAG pipelines

Limitations

High computational resource requirements
Complex implementation for small teams
Proprietary architecture limitations

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Google Titans+MIRAS | AI Tools Pro