# AgentCRDT

> AgentCRDT — sandeep-alluru-agentcrdt. Use this tool when you need to manage a shared world state across multiple concurrent AI agents, ensuring conflict-free merging of facts and updates. AgentCRDT solves problems of data inconsistency and synchronization in parallel agent sessions, providing a unified view of the world state. It takes in agent updates and outputs a consistently merged state, ideal for use cases requiring collaborative AI decision-making and coordinated action.

Canonical page: https://skillsregistry.net/skills/sandeep-alluru-agentcrdt  
JSON: https://api.skillsregistry.net/v1/skills/sandeep-alluru-agentcrdt

## Description

CRDT-based shared world state for parallel agent sessions — conflict-free merging of facts across concurrent AI agents.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ukx94vimvg)
- **Repository:** <https://github.com/sandeep-alluru/agentcrdt>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sandeep-alluru-agentcrdt"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandeep-alluru-agentcrdt` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandeep-alluru-agentcrdt/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt