lintlang is a static linter for AI agent configs, tool descriptions, and system prompts that runs zero-LLM quality gating in CI. Catches language-level failures (vague tool descriptions, missing stop conditions, schema gaps) before they reach runtime, with deterministic regex + structural detectors and no model calls.

• Updated Jun 2, 2026
• Python

RAG parameter sweep experimentation tool — systematically evaluate vector databases, embedding models, chunking strategies, and retrieval methods using any Vector database. Supports both Voyage AI (hosted) and local sentence-transformers models.

• Updated Jun 9, 2026
• Python

Give your AI a perfect, infinite memory. A local-first, zero-LLM memory system and Model Context Protocol (MCP) server designed to give AI assistants (like Claude, ChatGPT, and custom agents) a searchable, structured "Memory Palace."

• Updated Apr 11, 2026
• TypeScript

A comprehensive Pre-RAG prototype dashboard for document parsing, multi-method chunking, vector embedding generation, and hybrid search exploration. Built with React and powered by in-browser ML models.

• Updated Jun 15, 2026
• TypeScript

The design intelligence runtime for AI agents. 49 rules. Zero LLM. MCP-native. Give your agent eyes.

• Updated Apr 12, 2026
• TypeScript

Deterministic reasoning assurance engine for AI agents. Fast (<5ms), zero-cost verification. Best-in-class for arithmetic, logic, and hallucination detection.

• Updated Jun 2, 2026
• Rust

Persistent memory MCP server for AI coding agents like Claude Code. Zero-LLM, local-first (SQLite + FTS5), proactive recall by file path. 12 MCP tools, 113 tests. The MEMORY.md alternative that stays constant-cost at 10,000+ memories.

• Updated Jun 14, 2026
• Python