SuperContext: A Persistent Memory Framework for AI Coding Agents
What SuperContext Solves
The developer built this after 1,500+ sessions and months of daily use across 60+ projects, getting tired of re-explaining their codebase every session. The core problem they identified: typical solutions involve making instruction files larger, but a 2,000-line CLAUDE.md eats context window space before questions are asked, and AI ends up ignoring half of it.
Architecture: Targeted Files Instead of Monolithic Docs
SuperContext takes the opposite approach with small, targeted files loaded only when relevant:
- Constitution (~200 lines, always loaded): Global rules, routing, preferences
- Living Memory (~50 lines, always loaded): Behavioral gotchas that prevent repeated mistakes
- Project Brains (loaded on entry): Per-project business rules, schemas, changelogs
- Knowledge Store (on demand): Searchable SQLite database for infrastructure, APIs, reference data
- Session Memory: Automatic conversation logging so your AI recalls past decisions
What's Included
The repository contains two main components:
- The full guide covering theory, architecture, anti-patterns, and tool-specific setup for Claude Code, Cursor, Copilot, Codex, Aider, and others
- An executable prompt that you hand to your AI with the instruction "run this" - it discovers your projects, migrates existing content, and builds the whole system in approximately 10 minutes with no manual setup
Development Context
The framework was developed while building construction management integrations (Vista, Procore, Monday.com), where getting context wrong means real production problems. The developer reports that with this system, their AI went from "helpful but forgetful" to genuinely knowing their systems.
📖 Read the full source: r/ClaudeAI
👀 See Also
srclight: Fully Local Code Indexing MCP Server with Ollama Embeddings
srclight is an MCP server for deep code indexing that runs 100% locally with no API keys or cloud calls. It uses tree-sitter AST parsing for 11 languages, SQLite FTS5 for keyword search, Ollama for embeddings, and GPU-accelerated cosine similarity via cupy.
antirez's DS4: Running DeepSeek V4 Flash with 1M Context on Mac Metal and DGX
Redis creator Salvatore Sanfilippo released DS4, a project to run DeepSeek V4 Flash with a 1M context window on Mac Metal hardware and DGX, with OpenAI/Anthropic endpoints for agentic coding tools.
Definable AI adds self-hosted observability dashboard with single flag
Definable AI, an open-source Python framework for building AI agents, now includes a built-in observability dashboard that can be enabled with one flag. The dashboard provides real-time event streaming, token accounting, latency metrics, and run replay without external dependencies.
Qwen3.5-35B-A3B-UD-Q6_K_XL Tested in Production Development Workflows
A developer tested the Qwen3.5-35B-A3B-UD-Q6_K_XL model across multiple real client projects, achieving solid performance with benchmarks of 1504pp2048 and 47.71 tg256, and token speeds of 80tps on a single GPU.