# fleet-mem

> fleet-mem — sam-ent-fleet-mem. Use this tool when you need to manage and coordinate code intelligence across multiple AI agents, leveraging shared memory and semantic search to streamline development and collaboration. It solves problems of code duplication, agent synchronization, and knowledge sharing, accepting code repositories as input and providing unified insights as output. Ideal for use in multi-agent environments with concurrent git workflows.

Canonical page: https://skillsregistry.net/skills/sam-ent-fleet-mem  
JSON: https://api.skillsregistry.net/v1/skills/sam-ent-fleet-mem

## Description

Shared code intelligence for agent fleets — AST-aware semantic search + multi-agent memory with git-concurrent coordination

## Trust

- **Trust score (0–1):** 0.47
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sam-ent/fleet-mem)

## 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": "sam-ent-fleet-mem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sam-ent-fleet-mem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sam-ent-fleet-mem/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