deeprecallPure-Python recursive memory recall for persistent AI agents. Manager→workers→synthesis RLM loop — no Deno, no fast-rlm, just HTTP calls to any OpenAI-compat...
Install via ClawdBot CLI:
clawdbot install stefan27-4/deeprecallGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/Stefan27-4/DeepRecallUses known external API (expected, informational)
api.anthropic.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
An AI assistant that helps users manage personal tasks, remember important details from conversations, and maintain a consistent personality across sessions. DeepRecall enables the assistant to recall past interactions, preferences, and decisions from memory files, providing personalized responses without relying on external databases.
An AI agent integrated into project management tools to track decisions, meeting notes, and action items across multiple projects. DeepRecall allows the agent to search through project documentation and logs to answer queries about timelines, budgets, and stakeholder discussions, ensuring accurate recall from historical data.
A customer support bot that accesses a knowledge base of past tickets, FAQs, and product documentation to provide detailed, cited answers to customer inquiries. DeepRecall's recursive memory system helps the bot retrieve relevant information from various file scopes, improving response accuracy and reducing hallucination.
An AI assistant for researchers that organizes and recalls notes, papers, and experimental data from a workspace. DeepRecall enables the assistant to synthesize information across different files, such as literature reviews and lab logs, helping researchers quickly find and cite relevant sources for their work.
An AI tool for legal professionals that searches through case files, contracts, and precedents to answer specific legal questions. DeepRecall's ability to extract verbatim quotes and cite sources ensures that responses are grounded in actual documents, aiding in legal research and compliance checks.
Offer DeepRecall as a cloud-based API service with tiered pricing based on usage limits, such as number of queries per month or file storage capacity. This model targets businesses needing scalable memory recall for their AI agents, with premium tiers offering advanced features like custom scopes and priority support.
Distribute DeepRecall as free, open-source software under a permissive license, while generating revenue through paid consulting, customization services, and enterprise support contracts. This model attracts developers and organizations who value transparency and community contributions but need professional assistance for integration.
Integrate DeepRecall into popular AI platforms or frameworks as a freemium plugin, where basic memory recall features are free, but advanced capabilities like parallel workers or extended scopes require a paid upgrade. This model leverages existing user bases and encourages adoption through low entry barriers.
💬 Integration Tip
Ensure your OpenClaw configuration includes at least one LLM provider API key, and organize memory files in the recommended directory structure for optimal scope-based searching.
Scored Jun 19, 2026
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