# agentchat-memory

> Use this tool when you need to manage context and maintain a consistent persona across multiple conversations. It provides persistent memory for AgentChat agents, enabling them to summarize and evolve their persona over time. Ideal for use cases requiring context retention and personalized interactions, it accepts conversation inputs and outputs summarized persona information and context updates.

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

## Description

Provides persistent memory for AgentChat agents with swim-lane summarization and self-evolving persona, enabling context management and persona mining across conversations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wt8zbh4qey)
- **Repository:** <https://github.com/tjamescouch/agentchat-memory>

## 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": "tjamescouch-agentchat-memory"
    }
  }
}
```

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