#context-engineering (30 Repositories)
Ranked open-source repositories tagged with #context-engineering, scored by pull request acceptance likelihood and maintainer engagement velocity.
71.1%
61.8h
30 repositories tagged #context-engineering
neomjs/neo
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
open-gsd/gsd-pi
A powerful meta-prompting, context engineering and spec-driven development system that enables agents to work for long periods of time autonomously without losing track of the big picture
openbkn-ai/bkn-studio
Web console for OpenBKN — build, manage, and collaborate on business knowledge networks. React + TypeScript frontend for the platform's admin UIs and workspaces.
jumbocontext/cli
Memory and Context Orchestration for Coding Agents
bojieli/ai-agent-book
《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
alibaba/anolisa
ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.
open-gsd/gsd-core
Git. Ship. Done - Core
sheawinkler/ContextLattice
The local-first intelligence layer that gives AI agents durable continuity, explainable retrieval, portable context, and verified learning across harnesses.
semantica-agi/semantica
Graph-Native Infrastructure for Context and Accountable AI Systems
Fergana-Labs/stash
Shared memory for your team's coding agents
openbkn-ai/bkn-foundry
BKN Foundry is the Ontology back-end foundation of OpenBKN. It transforms ontology-driven business semantics into runtime services: data, logic, actions, security governance, and observability.
repoprompt/repoprompt-ce
Community edition of RepoPrompt: a native macOS context engineering app for AI coding agents, with an MCP CLI.
nexi-lab/nexus
Nexus, the shared context plane where every agent and human connect, collaborate, and evolve together.
microsoft/apm
Agent Package Manager
oceanbase/powercontext
PowerContext: The Next Generation of PowerMem. Not only memory !!!
cortexkit/magic-context
Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.
timescale/tiger-cli
Tiger CLI is the command-line interface for Tiger Cloud. It includes an MCP server for helping coding agents write production-level Postgres code.
headroomlabs-ai/headroom
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.
Canner/WrenAI
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.
NanoNets/Graft
Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.
virgiliojr94/book-to-skill
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
jfrog/boost
Save tokens. Maximize context, Safely
atomicstrata/llm-wiki-compiler
The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.
Snailclimb/JavaGuide
Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
chenxiachan/thoughtdag
Your thinking deserves a map: an infinite canvas where LLM conversations grow into an editable thought graph. Wires are the context.
VectifyAI/PageIndex
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
adongwanai/learn-workbuddy
从 0 复刻 WorkBuddy-style 桌面 AI 助手 Harness：24 章 Python 教程，覆盖 Agent Loop、工具调用、记忆系统、Sidecar、沙盒审计、DeepSeek/OpenAI 评测轨迹
bonigarcia/context-engineering
Context Engineering: Build Consistent, Accurate, Predictable AI Systems
ai-boost/awesome-harness-engineering
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
allenanswerzq/llmcc
multi-depth architecture views for code understanding and generation in extremely fast speed