# Shodh Memory

> Use this tool when you need to enhance AI agents' memory and learning capabilities, solving problems related to knowledge retention and recall in various environments. It accepts cognitive inputs and outputs consolidated semantic knowledge, enabling informed decision-making. Ideal for deployments requiring offline operation, such as cloud, edge devices, or air-gapped systems.

Canonical page: https://skillsregistry.net/skills/shodh-memory  
JSON: https://api.skillsregistry.net/v1/skills/shodh-memory

## Description

Cognitive memory system for AI agents featuring 3-tier memory architecture based on Cowan's working memory model, Hebbian learning for strengthening connections, and semantic consolidation. Deploys as a single binary that runs offline on cloud, edge devices, or air-gapped systems.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shodh-memory)
- **Repository:** <https://github.com/varun29ankus/shodh-memory/tree/HEAD/mcp-server>

## 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": "shodh-memory"
    }
  }
}
```

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