jasper-recallLocal retrieval-augmented generation system for AI agents using ChromaDB and sentence-transformers, supporting multi-agent shared memory and privacy controls.
Install via ClawdBot CLI:
clawdbot install emberdesire/jasper-recallGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf ~Calls external URL not in known-safe list
http://host.docker.internal:3458/recall?q=product+infoAI Analysis
The skill's core functionality is a local RAG system using ChromaDB and sentence-transformers, which aligns with its stated purpose and does not inherently exfiltrate data. The identified signals are contextual: the 'rm -rf' command is likely part of a clean setup/uninstall, and the Docker internal URL is for local inter-process communication, not external data transmission.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A customer support AI agent uses Jasper Recall to search past ticket resolutions and internal documentation when handling new inquiries. It indexes support logs and knowledge base articles, enabling quick recall of similar issues and solutions without manual lookup.
A development team employs Jasper Recall to index project documentation, meeting notes, and code decisions. The AI agent searches this memory to provide context on API designs, architectural patterns, and past discussions during planning sessions or code reviews.
A research AI in a healthcare setting uses Jasper Recall to index medical literature, clinical notes, and study summaries. It enables semantic search across this memory to assist with literature reviews, hypothesis generation, and recalling relevant findings for patient cases.
A legal AI agent indexes case files, precedents, and legal memos using Jasper Recall. It searches this memory to retrieve relevant cases or clauses when drafting documents, providing lawyers with quick access to past legal reasoning and decisions.
An educational AI tutor uses Jasper Recall to index lesson plans, student interactions, and learning materials. It searches past sessions to personalize tutoring, recall student progress, and adapt teaching strategies based on historical data.
Offer Jasper Recall as a cloud-based SaaS with tiered pricing based on memory storage, search volume, and number of agents. Include features like automated indexing, multi-agent mesh support, and API access for integration into existing AI workflows.
Sell enterprise licenses for on-premises deployment in regulated industries like healthcare or finance. Provide customization, dedicated support, and compliance features such as enhanced privacy controls and audit trails for memory access.
Offer consulting services to help businesses integrate Jasper Recall into their AI agent ecosystems. Include setup, training, and custom development for specific use cases like multi-agent setups or specialized memory tagging workflows.
💬 Integration Tip
Start by indexing existing documentation and session logs, then use the recall command in agent responses to enhance context; schedule regular indexing via cron jobs to keep memory up-to-date.
Scored Jun 17, 2026
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