memorineHuman-like memory for AI agents. Facts, events, procedures, contradiction detection, forgetting curve, and cross-agent sharing. Pure Python + SQLite.
Install via ClawdBot CLI:
clawdbot install osvfelices/memorineGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/osvfelices/memorineAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
AI support agents use Memorine to store customer interaction facts, such as previous issues and resolutions, enabling personalized follow-ups and detecting contradictions in customer statements. The forgetting curve automatically cleans outdated information, while cross-agent sharing ensures team-wide knowledge of common solutions.
In project management, Memorine logs events and procedures for multi-step workflows, tracking task dependencies and anticipating resource needs. Agents can recall past project failures and successes to optimize planning and share insights across team members for collaborative efficiency.
Medical AI agents utilize Memorine to record patient history facts and event logs, flagging contradictions in symptoms or treatments. The semantic search feature helps retrieve relevant medical knowledge, while procedures track diagnostic steps to learn from past outcomes and improve accuracy.
AI tutors employ Memorine to store student learning facts and event logs of progress, adapting lessons based on memory retention curves. Cross-agent sharing allows tutors to pool effective teaching strategies, and procedures track lesson sequences to identify steps that commonly lead to student confusion.
Financial agents use Memorine to log market events and store economic facts, with contradiction detection alerting to inconsistent data. Procedures track analysis workflows, anticipating required data inputs, and cross-agent sharing enables collaborative risk assessment across investment teams.
Offer Memorine as a cloud-based service with tiered pricing based on memory storage capacity and number of agents, targeting enterprises needing scalable AI memory solutions. Revenue streams include monthly subscriptions and premium features like enhanced semantic search and advanced analytics.
Sell Memorine licenses for on-premise deployment in regulated industries like healthcare or finance, where data privacy is critical. Revenue comes from one-time license fees and annual support contracts, with customization options for specific integration needs.
Provide Memorine as free open-source software to build a community, with monetization through paid add-ons like premium support, enterprise features, and consulting services. Revenue is generated from upsells to commercial users and training workshops.
💬 Integration Tip
Ensure Python3 is installed and configure the OpenClaw JSON file with the correct MCP server command and allowed tools list for seamless agent integration.
Scored Apr 19, 2026
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