# tokensense

> tokensense — aayushkumbhare-tokensense. Use this tool when you need to manage context in large language model (LLM) workflows, enabling persistent and selective memory across sub-conversations. Tokensense solves the problem of context loss by utilizing Retrieval-Augmented Generation (RAG) over embedded summaries, providing a model-agnostic solution. It takes in LLM inputs and outputs contextualized responses, ideal for use cases requiring multi-turn conversations or complex dialogue management.

Canonical page: https://skillsregistry.net/skills/aayushkumbhare-tokensense  
JSON: https://api.skillsregistry.net/v1/skills/aayushkumbhare-tokensense

## Description

Model-agnostic context management middleware for LLM-powered workflows, providing persistent selective memory across sub-conversations using RAG over embedded summaries.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kyp182uxc4)
- **Repository:** <https://github.com/AayushKumbhare/tokensense>

## 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": "aayushkumbhare-tokensense"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aayushkumbhare-tokensense` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aayushkumbhare-tokensense/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
