Claude Skill

greyhaven-ai/autocontext

AutoContext 是一个递归式自我改进框架,通过动态上下文管理,帮助 Claude、Codex、Hermes 等 AI 智能体自主完成任意任务。

概览

Stars1,207
Forks101
语言Python
最后更新2026-06-16
最近同步2026-06-17
前往 GitHub

仓库信息

拥有者greyhaven-ai
仓库autocontext
完整名称greyhaven-ai/autocontext
Repo ID1,155,776,799

安装这个 Skill

uv tool install autocontext==0.5.0

Registry 信息

类型mcp_server
质量分80/100
验证状态readme_parsed
最近验证2026-06-03
平台
ClaudeMCPOpenClawCodexCursor
能力
pdfmemorysearchterminalworkflowagentsaiautoresearchclaudeclaude-code
识别文件
README.mddocsexamples
配置键
ANTHROPIC_API_KEY

项目简介

AutoContext 是一个递归式自我改进框架,通过动态上下文管理,帮助 Claude、Codex、Hermes 等智能体及其后续迭代版本自主完成任意任务。

英文描述

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

要点

  • 递归式自我改进架构,实现智能体自主性
  • 跨多种 AI 模型的动态上下文管理
  • 与 Claude、Codex、Hermes 等智能体无缝集成
  • 无需人工干预即可零样本完成任务

使用场景

  • 自动化复杂的多步骤研究工作流
  • 让智能体能够自我修正并迭代任务
  • 构建具有持久上下文的自主编程助手
  • 在智能体管线中驱动递归式问题求解

README 摘要

<!-- autocontext-readme-hero:start --> <p align="center"> <img src="autocontext/assets/banner.svg" alt="autocontext ASCII banner" style="max-width: 100%; height: auto;" /> </p> <p align="center"><strong>a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task</strong></p> <p align="center"> <a href="https://github.com/greyhaven-ai/autocontext/blob/main/LICENSE"><img src="https://img.shields.io/github/license/greyhaven-ai/autocontext" alt="License"></a> <a href="https://github.com/greyhaven-ai/autocontext/stargazers"><img src="https://img.shields.io/github/stars/greyhaven-ai/autocontext" alt="GitHub stars"></a> <a href="https://github.com/greyhaven-ai/autocontext/commits/main"><img src="https://img.shields.io/github/last-commit/greyhaven-ai/autocontext" alt="Last commit"></a> <a href="https://pypi.org/project/autocontext/"><img src="https://img.shields.io/pypi/v/autocontext" alt="PyPI version"></a> <a href="https://www.npmjs.com/package/autoctx"><img src="https://img.shields.io/npm/v/autoctx" alt="npm version"></a> </p> <!-- autocontext-readme-hero:end --> Autocontext is a harness. You point it at a goal in plain language. It iterates against real evaluation, keeps what worked, throws out what didn't, and produces a structured trace of the work plus the artifacts, playbooks, datasets, and (optionally) a distilled local model that the next agent inherits. Repeated runs get better, not just different. ## Try It In 30 Seconds The fastest path uses our **Pi runtime**, a local coding agent that handles its own auth. No API key plumbing, no provider config: install Pi, install autocontext, point one at the other. ```bash uv tool install autocontext==0.5.0 AUTOCONTEXT_AGENT_PROVIDER=pi \ AUTO

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数据来自 GitHub,同步时间:2026-06-17