Havuz

Rails MCP server: stop AI coding agents from guessing your app. A Ruby gem with 35 read-only tools that give Claude Code, Cursor, GitHub Cop

Agent-driven proactive memory CLI for AI agents — autonomously recall, maintain, and evolve persistent, source-grounded knowledge across ses

Universal AI context generator. Saves thousands of tokens per conversation in Claude Code, Cursor, Copilot, Codex, and more.

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt

Web console for OpenBKN — build, manage, and collaborate on business knowledge networks. React + TypeScript frontend for the platform's admi

OpenCode AI Coding Agent 学习与实践教程：从 Agents、Skills、MCP、Context Engineering 到 AI Coding Workflow。

Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.

Pensieve: never lose the thread. A local MCP server and Mac app that links your files, repos, agent sessions, tickets and messages into one

The linter for your agent harness. Works with Claude Code, Codex, and Cursor.

Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, t

Self-hosted AI memory and MCP coordination for coding agents. Persistent context across repositories and sessions, with knowledge graphs, hy

OpenLoomi is an open-source AI coworker. It connects your work tools, understands what you’re working on, and tells you what needs your atte

Turn your Win, Mac or DGX Spark into an AI hotspot. Nightshift races hundreds of attempts overnight and keeps what passes. Plus the open con

The why layer of repo-native project memory: the reasoning behind a codebase as Markdown in the repo, versioned by Git, for coding agents an

The open-source company brain. Run your entire company with AI agents, skills, and a self-improving context.

Portable, verifiable work state for coding agents

Universal memory runtime for AI agents

Local-first flight recorder for coding agents : replay every run as a live session map, score the context bill, and write the fix back into

AI Badger - Local-first tool that extracts focused repo context for any AI chat (Claude, ChatGPT, Grok, etc.) without wasting tokens on irre

Context optimization for AI coding agents — lower token cost and latency without sacrificing accuracy.

Session handoffs for Claude Code: skills that capture decisions, failed approaches and next steps, plus a Claude Code mod (/compact-handoff)

🚀 Level up your career with GenAI. 📄 Tailor your CV to any JD, 🔍 automate company research, and 🗓️ generate custom interview prep plans for

Run reviewable, resumable coding-agent workflows across Claude Code, Codex, Gemini, GitHub Copilot CLI, or any CLI. You define the stages in

Your coding agent starts every session knowing nothing about your project. One line, and it writes its own memory from your real code, then

Agentic GraphRAG is an open source framework that builds a graph connecting your enterprise knowledge to the conversations your agents have

《智能体工程：从一句话到一个闭环》（Prompt · Context · Harness · Loop），本书将大语言模型驱动的智能体系统拆解为四种递进的工程范式，四种范式从 Token 到 System，从一次调用到完整的自主闭环，构成了智能体系统的完整工程视图。

The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release

Staged context pruning for OpenCode, Oh My Pi, pi, and Claude Code.

The memory layer that gets better as you use it. What broke, why, what depended on what, even the "push this to Wednesday" kind of thing tha

Self-evolving cognitive memory and context engine for AI agents in Java. Empowering 24/7 proactive agents like OpenClaw with understanding a

Build portable agent teams across models and harnesses, with shared memory, skills, tools, and workflows — then bring them into Codex, Claud

A pure-Python context management layer for LLM systems — retrieval, re-ranking, memory decay, and token-budget enforcement in one pipeline.

Chapter-by-chapter teardown of a production coding agent — agent loop, context engineering, compaction, permissions, MCP. 13 chapters, Chine

Open-source desktop AI agent: built-in free model, local GGUF models via llama.cpp, dispatch tasks from WeChat/Feishu/DingTalk. Files, brows

CTX - Context Runtime Engine for Coding Agents

Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw

Production-Stage Visual Design & In-Codebase UI Engineering Suite

Structured plan/execute/verify coding workflow for Claude Code: atomic commits, MCP-backed state, ~92% lower per-turn token overhead, native

AI Context Linker is a privacy-first context compiler. Turn local project context into reviewable Markdown for ChatGPT planning and Codex de

Build your own Company OS with Claude Code. CLAUDE.md template, 5 GTM skills, workflow plugin, safety hooks, and full blueprint.

AI agent context layer for career-related tasks.

Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.

A Claude Code workflow for long projects: short context, decisions remembered, lessons that stick across sessions

A pure-Python reachability and skeletonization layer that decides what a coding agent actually sees before a request reaches the API.

Cross-agent plugin for manually excluding and editing AI conversation context, with search, filtering, hide/restore, undo, and original Sess

Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence

CTX is the standard Cognitive Version Control System for AI. Structured working memory for AI agents. CTX preserves goals, tasks, evidence,

Git-native context control plane for AI coding agents

Give any local LLM a billion-token memory. Open-source, local-first context + memory engine for Ollama and AI agents — runs on your own mach

What Claude Code is doing between your prompt and its answer, drawn live from the logs it already writes: every model call, every tool, each