A super light-weight embedded code search engine CLI (AST based) that just works - improves speed and efficiency for coding agent 🌟 Star if you like it!

14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.

High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/ysC2prTGD

A unified toolkit for efficient and effective coding agents (Karpathy principles, Caveman, Ponytail, RTK, CodeGraph, Context-Mode). Minimal setup under 30 seconds. Any OS.

Verified code context for agents

Give your Claude Code Agent Teams a memory. Auto-injects role-specific context into every new teammate — your team never starts blind again.

Context compiler for TypeScript/JavaScript AI agents. Automatically compiles agent state into optimized LLM payloads with history compression, tool pruning, multi-provider support, and more.

Code HUD uses Tree-sitter to show the shape of your codebase: signatures, types, and structure without the noise. Structural search, symbol-aware editing, and git diffs. Installs as a skill or agent for Claude Code, Cursor, Codex, Aider.

ISONGraph is a multi-language property graph library designed specifically for LLM and AI applications. It provides the most token-efficient way to represent graph data in LLM context windows while maintaining high accuracy for graph-based reasoning tasks.

reShapr website

Baton coordinates coding agents. Each worker handles a focused task, and one orchestrator checks the result.

🧠 Claude Code plugin marketplace featuring Second Brain - an agentic workflow system with persistent memory and tribal knowledge. Transform Claude from goldfish to elephant with cross-session learning.

Helm Charts for installing reShapr components on Kubernetes

reShapr Community repo

[Experiment] Achieve 30% to 60x token savings via the V3U protocol. Use a free/local Translator Agent to communicate with Executor Agents natively in V3U data (0-English). Read How_to_Start.md to begin.

A system architecture proposal for infinite AI conversation continuity, solving the context window limit through a five-component memory framework: sliding hot window, conversation graph, state document, memory manager, and pre-fetch engine

A TUI for scraping and inspecting Claude Code's context built with Bubbletea + Lipgloss

Smart, source-faithful text trimming for high-signal LLM prompts.

Render agent context as images. Same text, ~60–75% fewer tokens.

Field projection layer for MCP tools — let AI agents request only the fields they need, reducing context window usage by up to 95%