Results for “context-engineer”

Local, evidence-linked project memory and cited context compiler for coding agents - 98.71% less estimated repeated cont

Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust bi

Local MCP daemon that compresses your codebase before sending it to Claude 41-89% token reduction

Shared memory across your team and your AI agents — with judgment about what's worth keeping.

stdio MCP server to read or index markdown with images

A production-ready Claude Code setup. Global CLAUDE.md, coding rules, per-project memory, and token optimization.

Context optimization for AI agents — 97 domain knowledge graphs, MCP-native traversal. 4× F1 of RAG, 11× fewer tokens pe

ContextLattice is the local-first control plane for long-horizon agent memory and coordination.

Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions, patterns

ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get dete

Persistent memory for AI coding agents

iOS development ClaudeCode plugin for mindful token and context usage. Contains modular MCPs that group various Xcode/ID

grep that returns ranked, token-budgeted code slices — built for LLMs and coding agents. CLI + Python library + MCP serv

Claude Code plugin that offloads large outputs to filesystem and retrieves when required.

🧠 Session memory lifecycle plugin for Claude Code — structured markdown memory, workstreams, handoff, auto-save hooks

《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