muninnUniversal Context Protocol (CXP) for AI agents. v2.3.7 includes the latest high-performance CXP engine (compiled 2026-02-13) with fix for memory amnesia, macOS binary support, and pfeilschnell indexing. Created by @Blackknight1dev.
Install via ClawdBot CLI:
clawdbot install endgegnerbert-tech/muninnInstall Muninn Core:
Install Muninn CoreRequires:
Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.muninn.spaceAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
AI agents use Muninn to quickly understand a new codebase by calling brain_check to load local context and search_context to find existing patterns, reducing manual exploration time and ensuring accurate code modifications without external data exposure.
In legal firms, AI agents leverage Muninn's local-first storage to index and search sensitive case files and precedents using search_context, enabling efficient retrieval of relevant clauses while maintaining strict client confidentiality and compliance with data privacy regulations.
Researchers use Muninn to manage and query local datasets of medical records or studies, with add_memory to log findings and search_context to correlate information, ensuring HIPAA compliance by keeping all data on-premises and avoiding cloud-based leaks.
AI agents in banking employ Muninn to index transaction logs and regulatory documents, using brain_check for orientation and search_context to identify anomalies or compliance issues, all processed locally to prevent sensitive financial data from being transmitted externally.
University teams use Muninn to share and search research notes and code locally within projects, with add_memory to capture insights and reindex_context to update indexes, facilitating collaboration without relying on insecure cloud services or risking intellectual property theft.
Sell per-seat or site licenses to organizations requiring high-performance, local AI context management, with tiered pricing based on features like advanced indexing or support. Revenue is generated through upfront fees and annual renewals for updates and maintenance.
Offer professional services to help businesses integrate Muninn into their existing AI workflows, including custom training, setup, and optimization. Revenue comes from project-based contracts and ongoing support agreements tailored to client needs.
Provide a free, open-source core version of Muninn to build community adoption, while monetizing through premium features such as enhanced security tools, priority support, or enterprise-grade plugins. Revenue is driven by subscriptions for these advanced capabilities.
💬 Integration Tip
Start by initializing Muninn with init_project in your working directory, then consistently use brain_check at session start to load context and search_context before coding to maximize efficiency and token savings.
Scored Apr 19, 2026
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