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AccInt MCP Server

@maxbaluev

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

maxbaluev

提交者

Max Baluev

关于 AccInt MCP Server

AccInt is a local Work Model and MCP server for persistent scored agent memory, retrieval, commitments, browser/runtime observations, and outcome-based learning across coding agents.

#memory#mcp#agent-memory#developer-tools#ai-agents#retrieval

AccInt MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "accint": {
      "command": "acc",
      "args": [
        "mcp"
      ]
    }
  }
}

AccInt MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is AccInt?

AccInt is a local work model for coding agents that integrates scored memory, recursive retrieval, commitments, runtime/browser observations, and outcome feedback in one substrate. It exposes an MCP interface so agents can retrieve prior work, record decisions, and close the loop when reality validates or rejects an action.

How to use AccInt?

—

Key features of AccInt

  • Scored memory for prioritizing agent experiences
  • Recursive retrieval of relevant prior work
  • Commitments to track intended actions
  • Runtime and browser observations
  • Outcome feedback to validate or reject actions
  • MCP interface for integration with coding agents

Use cases of AccInt

—

常见问题

1

What does AccInt do?

AccInt is a local work model for coding agents that provides scored memory, recursive retrieval, commitments, runtime/browser observations, and outcome feedback via an MCP interface.

2

Where can I find the repository and website?

Repository: https://github.com/maxbaluev/accreted-intelligence ; Website: https://accint.xyz

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