AGENTS.md contract for AI coding agents + zero-dependency linter + SessionStart hook. Works with Claude Code, Codex, Cursor, Copilot.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
《深入理解 AI Agent:设计原理与工程实践》(李博杰 著)开源主仓库:全书正文、编译版 PDF 与按章配套代码
Breakthrough Method for Agile Ai Driven Development
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Install from npm, the Claude Code plugin marketplace, or npx skills. Codex, Cursor, OpenCode, 60+ agents.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
Graph-Native Infrastructure for Context and Accountable AI Systems
Memory library for building stateful agents
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
Agent Package Manager
The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 40+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
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!
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
Bub it. Build it. A tiny agent runtime, composable with plugins.
Not only memory but a full story
Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.
Context drive for your AI agents
CodeAgent is an open-source coding agent that lives in your terminal. It understands your repository, plans multi-step changes, writes and edits files, runs commands and tests, and iterates until the task is done — all with a transparent, extensible tool loop.
The foundation layer for agentic intelligence.
Intent compiler for AI agents — converges vague requests into typed IntentSpec contracts (probe, ask, or halt before routing), the input layer for routers and typed-decision models like Jev & Laya
Source-grounded public context for 立正: Superlinear posts, selected comments, YouTube, Public Axioms V1, and 《真本事》.
Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.
Nosis is a lightweight personal agent runtime: per-session execution boundaries with OS-level sandboxing, computer use, a full built-in toolset, Skill / Plugin / MCP extensions, one runtime shared by GUI and TUI, and file-persisted sessions, plans, and memory.
DeepSeek Harness (DSH) Python 教程:17 章从零实现 Agent Loop、插件系统、工具调用、Session、上下文工程、Subagent 与 Headless CLI
Direct MiniMax H3 like a pro: Idea in, finished video out. A complete MiniMax H3 studio that lives in your ComfyUI.
OpenContextEngine is a self-hosted, ACE-compatible code retrieval service. It indexes source files with cAST-aware chunking, stores metadata in PostgreSQL or SQLite, performs dense vector retrieval in Milvus 3.0, and reranks results with an LLM before coverage-aware selection.
Production-Stage Visual Design & In-Codebase UI Engineering Suite
Deterministic memory layer for your agents
Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.
AI Context Linker is a privacy-first context compiler. Turn local project context into reviewable Markdown for ChatGPT planning and Codex development. Local Python, no model API required.
Local-first, evidence-aware project memory for AI coding agents.
MCP gateway & OAuth MCP servers. LangGraph agent: memory, eval/tracking, PII guard, context trimming. Docker quick start for enterprise agents.
交接 Skill(Jiaojie):跨窗口、跨模型、跨设备、跨语言的 AI 上下文交接工具。换窗口,不失忆;换模型,不重来。Open-source AI context handoff.
Pensieve: never lose the thread. A local MCP server and Mac app that links your files, repos, agent sessions, tickets and messages into one thread per task, for you and your AI coding agents.
A pure-Python reachability and skeletonization layer that decides what a coding agent actually sees before a request reaches the API.
AI Agent 实战手册 - 面向中文开发者的系统学习指南,从零搭建到生产部署
Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cursor, local models and grep (all LLM models work). MCP server + hooks for Claude Code, Claude Desktop, Cursor, Windsurf, Codex. 83% LongMemEval-S (GPT-4o), 92% (Claude Fable 5), 10x fewer tokens.
AI-KIT is a practical starter kit for development: ChatGPT/Codex, Claude, DeepSeek, KIMI, and other coding agents. It provides reusable project context, rules for each stack, adaptive model routing, conservative installation and updates, testing and review workflows, security guidance, Docker and Kubernetes readiness, and clean project templates.
Local LLM·RAG·AI Agent·바이브 코딩을 개념부터 실습과 검증까지 다루는 학습 자료
Fast local CLI and MCP tool for compacting verbose test runners and build output.
A minimal coding-agent harness built to measure what context management actually costs: constraint survival after compaction (8%→83%), default-FAIL verification against false completions, and KV-cache prefix design (21%→90%). Stdlib-only, real deepseek-chat runs
It is a "LifeContext" operating system designed to run entirely on-device, transforming personal data—such as chat logs, documents, and oral histories—into digital memories and personality structures that are traceable, editable, and portable. We aim to establish a standardized LifeContext format, creating an open foundation for personalized agents
Give your CLAUDE.md / AGENTS.md a checkup — audit size vitals, dead references, drifted claims, and backtest every rule against your own session history to see which rules get followed, ignored, or never used. A doctor-style report that cites its evidence.
The Cost of Remembering: filesystem memory matches long-context accuracy on LongMemEval while reading 97% fewer tokens and costing 95% less. Harness, run data, 129 agent-built memories, and paper source.
Local-first agent workflow for building private cross-project memory with explicit consent, validation, and crash-safe history.
Your coding agent starts every session knowing nothing about your project. One line, and it writes its own memory from your real code, then grades itself.
Инженерный skill для проектирования, реализации, отладки и оценки AI-агентов в Codex и Claude Code по книге Bojie Li.