# Context Fabric

> Use this tool when you need to maintain persistent memory and context across AI CLI tool sessions, solving problems of context loss and knowledge fragmentation. The Context Fabric system takes in project data and architectural decisions as input and provides a time-aware orientation and smart memory routing as output. It is ideal for use in complex, long-term projects that require AI agents to retain project knowledge and context over multiple sessions.

Canonical page: https://skillsregistry.net/skills/abaddollyon-context-fabric  
JSON: https://api.skillsregistry.net/v1/skills/abaddollyon-context-fabric

## Description

A persistent memory and context management system for AI CLI tools that utilizes a three-layer architecture and semantic search to prevent context loss between sessions. It provides time-aware orientation and smart memory routing to help AI agents maintain project knowledge and architectural decisions.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/py623ql77s)
- **Repository:** <https://github.com/Abaddollyon/context-fabric>

## 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": "abaddollyon-context-fabric"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abaddollyon-context-fabric` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abaddollyon-context-fabric/pull`

---
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