Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
Open-source persistent memory infrastructure for AI agents. Ori implements human cognition as mathematical models on a knowledge graph. Activation decay from ACT-R. Spreading activation along wiki-link edges. Hebbian co-occurrence from retrieval patterns. Reinforcement learning on retrieval itself. Recursive graph traversal with sub-question decomposition. The system learns what matters, forgets…
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ori_orientNo description publishedThis tool published no description. Forge does not invent one.
ori_updateNo description publishedThis tool published no description. Forge does not invent one.
ori_statusNo description publishedThis tool published no description. Forge does not invent one.
ori_queryNo description publishedThis tool published no description. Forge does not invent one.
ori_addNo description publishedThis tool published no description. Forge does not invent one.
ori_validateNo description publishedThis tool published no description. Forge does not invent one.
ori_healthNo description publishedThis tool published no description. Forge does not invent one.
ori_promoteNo description publishedThis tool published no description. Forge does not invent one.
ori_query_rankedNo description publishedThis tool published no description. Forge does not invent one.
ori_exploreNo description publishedThis tool published no description. Forge does not invent one.
ori_warmthNo description publishedThis tool published no description. Forge does not invent one.
ori_query_similarNo description publishedThis tool published no description. Forge does not invent one.
ori_query_importantNo description publishedThis tool published no description. Forge does not invent one.
ori_query_fadingNo description publishedThis tool published no description. Forge does not invent one.
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ori_index_buildNo description publishedThis tool published no description. Forge does not invent one.
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Open-source persistent memory infrastructure for AI agents. Ori implements human cognition as mathematical models on a knowledge graph. Activation decay from ACT-R. Spreading activation along wiki-link edges. Hebbian co-occurrence from retrieval patterns. Reinforcement learning on retrieval itself. Recursive graph traversal with sub-question decomposition. The system learns what matters, forgets what doesn't, and optimizes its own retrieval pipeline. Persistent memory across sessions, clients,…
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