Midas
Provides a local-first, eval-first memory layer for long-horizon AI agents, enabling persistent knowledge across sessions without LLM interaction at ingest.
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Provides a local-first, eval-first memory layer for long-horizon AI agents, enabling persistent knowledge across sessions without LLM interaction at ingest.
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AI assistants often forget everything between sessions, incurring continuous costs and privacy concerns when relying on LLMs for memory extraction. Midas offers a revolutionary local-first memory solution that lives on your machine, ensuring agents remember past decisions, conventions, and bugs across sessions without any LLM calls for ingest or query. This design ensures zero cost per message, complete data privacy, and verifiable, source-traceable recall, empowering agents with persistent, current, and auditable knowledge that stays current through belief revision and selective forgetting.