cruxible
★ 17
vs
context-mode
★ 31.8k
cruxible vs context-mode
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.; context-mode: Every tool call in an MCP (Model-Controller-Program) environment dumps raw data into the context window, quickly consuming space and causing the agent to lose track of ongoing tasks. Context Mode is an MCP server that tackles this by sandboxing tool outputs to significantly reduce context usage, tracking session events in SQLite for continuity, and promoting 'think in code' to minimize data processing within the LLM.
01
TL;DR
cruxibleMemory & Context · ★ 17
AI Agent Operational Management: Managing and tracking AI agent work items, review requests, decisions, and dependencies.
context-modeMemory & Context · ★ 31.8k
When to choose:
- Your sessions fill up with tool output such as Playwright snapshots, GitHub issue lists or logs.
- You want work state (edits, git operations, tasks, decisions) to survive context compaction without being dumped back into the window.
- You use a hook-capable agent, where tool routing happens automatically.
When to skip:
- You need an OSI open-source licence: it uses the Elastic License 2.0, which restricts uses such as offering it as a managed service.
- Your sessions are short and rarely hit the context limit.
- You do not want hooks changing how your agent's tools behave.
02
Side-by-Side Comparison
Field
cruxiblecontext-modeCategory
Memory & Context
Memory & Context
Stars
★ 17
★ 31.8k
License
Apache-2.0
Elastic License 2.0
Install Command
pip install cruxible
npm install -g context-mode
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Knowledge Graph, Data Governance
antigravity, claude, claude-code
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.
context-mode01Context Saving: Sandbox tools keep raw data out of the context window, achieving up to 98% reduction.
02Session Continuity: Tracks every file edit, git operation, task, and user decision in SQLite for seamless session resume.
03Think in Code: Promotes LLMs to program analysis, not compute it, saving 100x context by logging only results.
04Batch Execution & Search: Run multiple commands/queries in one call with tools like `ctx_batch_execute`.
05Advanced Knowledge Base: Uses SQLite FTS5 with BM25 ranking, smart snippets, and TTL cache for efficient information retrieval.
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.
context-mode↳Deep repository research and analysis (e.g., architecture, contributors, issues)
↳Analyze Git history to identify top contributors, commit frequency, and most changed files
↳Efficiently process large JSON APIs, web pages, or logs without flooding the context window
05
Best For
cruxible—
context-modeMost PopularTrending
FAQ
FAQ
What is the difference between cruxible and context-mode?
Both cruxible and context-mode are in the Memory & Context category. cruxible has 17 stars, while context-mode has 31.8k stars.
Which is better, cruxible or context-mode?
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 context-mode if Deep repository research and analysis (e.g., architecture, contributors, issues).
Is cruxible free or open source?
Yes, cruxible is open source on GitHub (Apache-2.0).
Is context-mode free or open source?
Yes, context-mode is open source on GitHub (Elastic License 2.0).
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