Semble
✨Fast and accurate code search library for AI agents, achieving ~98% token reduction over grep+read via hybrid retrieval and code-aware reranking.
Fast and accurate code search library for AI agents, achieving ~98% token reduction over grep+read via hybrid retrieval and code-aware reranking.
A local code knowledge graph tool built on Tree-sitter that provides precise context to AI coding assistants via MCP, achieving an average 8.2× token reduction with support for 24 programming languages.
A local-first context runtime for AI coding agents that significantly reduces token consumption from file reads and shell outputs via multi-strategy compression and property graph techniques, compatible with 28+ AI coding tools including Cursor, Claude Code, and Copilot.
A local-first knowledge compiler for AI agents, built on the LLM Wiki pattern, compiling raw materials into persistent markdown wikis, knowledge graphs, and hybrid search engines.
A portable memory layer for autonomous coding agents that provides persistent, structured context through LLM-curated hierarchical context trees with cross-session retention and team sharing.
A local TUI/CLI tool that indexes and searches session histories from 18+ coding agents with full-text, semantic, and hybrid search.
A local-first CLI and library for evaluating and red-teaming LLM applications, enabling systematic assessment of prompts, models, agents, and RAG pipelines through declarative YAML configuration.
AI-powered documentation generator that automatically produces C4 architecture docs for codebases, with multi-language source support and external knowledge augmentation.
A GitHub repository maintained by RichmondAlake. Due to technical limitations, page content could not be accessed. Specific functionality, tech stack, and use cases require manual verification.
The Zero-Server Code Intelligence Engine that indexes any codebase into a knowledge graph, providing AI Agents with deep architectural insights and call-chain tracing via MCP protocol.
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