cruxible
★ 17
vs
mnemo
★ 12
cruxible vs mnemo
cruxible: Cruxible is a governed state engine designed for AI agents, transforming YAML ontologies into typed knowledge graphs with enforced write rules. It provides a robust, auditable system for managing an agent's 'hard state', ensuring data integrity and consistency without relying on LLM internal reasoning.; mnemo: Mnemo is an open, free, and unlimited persistent AI memory system featuring hybrid search and embedded synchronization. It integrates full-text search with vector search, temporal decay, and importance boosting for advanced retrieval.
01
TL;DR
cruxibleMemory & Context · ★ 17
AI Agent Operational Management: Managing and tracking AI agent work items, review requests, decisions, and dependencies.
mnemoMemory & Context · ★ 12
Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
02
Side-by-Side Comparison
Field
cruxiblemnemoCategory
Memory & Context
Memory & Context
Stars
★ 17
★ 12
License
Apache-2.0
Apache-2.0
Install Command
pip install cruxible
/plugin marketplace add n24q02m/claude-plugins && /plugin install mnemo-mcp@n24q02m-plugins
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Knowledge Graph, Data Governance
AI Memory, Hybrid Search, Vector Database
03
Features
cruxible01Enforced Write Rules & Governance: Ensures data integrity and consistency for AI agents through configurable write policies, review groups, and attribute-based access control.
02Typed Knowledge Graph from YAML Ontology: Defines entity types, relationships, and queries using a versioned YAML ontology, which can be drafted by agents and refined by humans.
03Deterministic & Receipted Queries: Provides reliable, auditable query answers with receipts, ensuring every agent gets the same answer for the same state.
04Local & Portable State Management: Operates as a Python daemon with CLI/MCP server, storing state in a portable SQLite file, enabling isolated deployment and ownership.
05Integration with External Actions (Gates): Allows external actions (like git pushes) to be gated, meaning they are refused until the governed state agrees.
mnemo01Hybrid retrieval combining full-text search (FTS5) and vector search, fused via Reciprocal Rank Fusion, then re-ranked with temporal decay and importance boost.
02Automatic entity extraction and relation tracking to build a temporal knowledge graph, boosting top search results by graph proximity.
03Multi-machine sync via Google Drive with JSONL-based merge sync, and end-to-end encrypted passport sync using AES-256-GCM and Argon2id for secure cross-device bootstrap.
04LLM-driven compression of older memories and LLM summarization of related memories for STM-to-LTM consolidation, achieving significant token reduction.
05Zero-config local setup using Fastretrieval's built-in Qwen3 ONNX embedding and reranking models, requiring no external API keys for basic operation.
04
Use Cases
cruxible↳AI Agent Operational Management: Managing and tracking AI agent work items, review requests, decisions, and dependencies.
↳Supply Chain Incident Impact Analysis: Modeling suppliers, components, and products to determine the blast radius of incidents.
↳Vulnerability Triage & Remediation: Governing the process of triaging known-exploited vulnerabilities, assessing asset exposure, and tracking remediation efforts.
↳Project and Release State Governance: Overseeing roadmap items, milestones, agent system versions, and release processes.
↳Evidence-Gated Knowledge Curation: Replacing unstructured RAG/markdown with structured, evidence-verified claims and relationships for critical domain knowledge.
mnemo↳Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
↳Building and querying a temporal knowledge graph to understand historical states and relationships of entities within an AI system's memory.
↳Synchronizing AI memory across multiple machines or devices securely, enabling a consistent knowledge base for agents.
↳Improving the efficiency of LLM interactions by compressing older memories and consolidating related information.
↳Integrating with various AI clients (e.g., Claude Code, Gemini CLI, Cursor) as an MCP server for advanced memory management.
FAQ
FAQ
What is the difference between cruxible and mnemo?
Both cruxible and mnemo are in the Memory & Context category. cruxible has 17 stars, while mnemo has 12 stars.
Which is better, cruxible or mnemo?
The best choice depends on your use case. Choose cruxible if AI Agent Operational Management: Managing and tracking AI agent work items, review requests, decisions, and dependencies., and mnemo if Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making..
Is cruxible free or open source?
Yes, cruxible is open source on GitHub (Apache-2.0).
Is mnemo free or open source?
Yes, mnemo is open source on GitHub (Apache-2.0).
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