Contextium: Open-Source Persistent Context Framework for Claude Code
Contextium is an open-source persistent context framework built specifically for Claude Code. It solves the problem of having to re-explain context in each new Claude Code session by creating a structured repository system that compounds knowledge over time.
What It Does
Contextium organizes information into markdown files across several categories: apps, integrations, knowledge domains, projects, and journals. The core mechanism is a CLAUDE.md file that acts as a context router, telling Claude which files to load based on the current task. This prevents context window bloat by lazy-loading only relevant content.
Key Features
- Context Router Table: The CLAUDE.md file contains a routing table that triggers specific file loads:
| Trigger | Load | |----------------------|-----------------------------------| | Project work | projects/README.md | | Person mentioned | knowledge/people/{name}/ | | Integration/API call | integrations/{name}/README.md | | Prior work | journal/ (latest) | - Multi-Agent Support: Routes research to Gemini (for cost efficiency) and bulk edits to Codex (for speed) while keeping Claude focused on strategy and decisions
- Template Structure: The open-source version ships with 6 sample apps and documentation for 27 integrations
- Real-World Scale: The creator's personal instance contains 35 app protocols, 27 integration connectors, 100+ completed projects with decision logs, and 600+ journal entries
Installation and Setup
Install with a single command:
bash curl -sSL contextium.ai/install | bashThe installer uses bash and gum for the terminal UI, asks for your name, selects your AI agent (supports Claude Code plus 8 others), chooses integrations, and sets up your repository. The process takes about 5 minutes and works on macOS and Linux.
Development Process
The creator built Contextium over several months using Claude Code, which wrote approximately 90% of the code. This included:
- The installer script (bash + gum)
- Adaptation of 27 integration READMEs
- Agent configuration templates
- An Astro website
- Debugging across multiple test runs on fresh VMs
Technical Details
- License: Apache 2.0
- GitHub: https://github.com/Ashkaan/contextium
- Website: https://contextium.ai
📖 Read the full source: r/ClaudeAI
👀 See Also
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Lightpanda: Open-source headless browser for LLM agents with native MCP server and markdown output
Lightpanda is an open-source headless browser designed for LLM-powered agents that uses 16x less memory than Chrome (215MB vs 2GB) and completes web crawling benchmarks in 5 seconds instead of 47 seconds. It provides native markdown output, semantic tree with interactivity detection, and a built-in MCP server.
GGUF Model Merging Script and Workflow for Qwen3.5-35B Variants
A Reddit user shared a Python script for merging GGUF model files with minimal loss, specifically combining HauhauCS's Qwen3.5-35B-A3B-Uncensored model with samuelcardillo's Claude-4.6-Opus-Reasoning-Distilled version. The script runs on Google Colab Free Tier and includes quantization support via llama-quantize.
Utilyze: Open-Source GPU Monitor That Measures Real Compute Throughput, Not Just Kernel Activity
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