Incremental engine for long horizon agents 🌟 Star if you like it!

Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.

Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.

Across 348 long-horizon benchmark sessions, Tura used up to 83.1% fewer turns on the rewrite benchmark and improved the DeepSWE pass rate by up to 16.7 percentage points compared with Codex CLI.

Smart(er) code reading for humans and AI agents. Reduces cost per correct answer by ~40% on average. Install: cargo install tilth -or- npx tilth

Hook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, self-teaching protocol. Zero runtime deps.

Git-native context control plane for AI coding agents

CTX - Context Runtime Engine for Coding Agents

In the midst of all the tools out there that you can possibly use to keep track of them. Here's a "shovel" that just works to try them all out.

multi-depth architecture views for code understanding and generation in extremely fast speed

Monitor Claude Code sessions, costs, config, hooks, agents & MCP servers from a single Rust binary — TUI (9 tabs) + Web interface with live process tracking, budget alerts, and 30-day forecasting

Fast local-first Rust CLI for codebase metrics, AST-compressed LLM context bundles, and built-in MCP server.

Universal memory runtime for AI agents

Knowing by reasoning, not vectors.

Persistent, encrypted memory for AI agents: one Rust binary, one file, no cloud. 55+ MCP tools, hybrid recall (BM25 + dense + RRF), bi-temporal history, AES-256-GCM. 73.8% on LongMemEval. Local-first, air-gap ready, MIT.

Portable, always-fresh docs for agents and humans. A Surface hub is a conformant OKF concept; Surface adds the freshness OKF leaves out - it fails the build when the code a doc describes changes. Deterministic, no LLM.

HOANGSA is a context engineering system for Claude, Codex. It solves a fundamental problem: Claude's output quality degrades as the context window fills up.

A knowledge graph your AI agents build, query, and grow. Built for agents that need structure beyond vectors

Exploring agent "thinking" animation.

A semantic engineering framework for building verifiable and traceable software.