# agentmemory-architecture

A skill that walks through the agentmemory server: the iii engine, storage model, ports and viewer. Useful when you extend it or debug recall.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 10700 installs · ★ 29896
- Author: rohitg00
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/rohitg00/agentmemory/tree/HEAD/plugin/skills/agentmemory-architecture/SKILL.md
- Updated: 2026-10-25
- HTML: https://affpapa.org/en/nevibecode/skills/agentmemory-architecture

## What it does

agentmemory is a memory server for coding agents. It runs locally, captures observations, indexes them for hybrid retrieval and serves them back over REST and MCP. This skill documents how that is put together on the iii engine.

There is no separate plugin system. Everything is a function, a trigger or worker state: the worker registers `mem::*` functions and `api::*` HTTP triggers, and the engine routes the calls. Adding a capability means adding a function plus a trigger.

Recall mixes BM25 keyword search with vector similarity and graph expansion. A clean install with no embedding provider runs BM25 and needs no API key. `EMBEDDING_PROVIDER=local` turns on on-device embeddings, which may download a model; LLM compression and summaries need a configured provider. Memories carry content, concepts, files, importance and timestamps, grouped into sessions and optionally linked to commits, and move through capture, compress, consolidate and forget. REST sits on 3111, streams on 3112, the viewer on 3113, the engine on 49134, and `--instance N` shifts the block by N*100. The viewer at `http://localhost:3113` shows memory building as sessions run.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add rohitg00/agentmemory --skill agentmemory-architecture -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/agentmemory-architecture/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/agentmemory-architecture/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add rohitg00/agentmemory --skill agentmemory-architecture -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/agentmemory-architecture/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add rohitg00/agentmemory --skill agentmemory-architecture -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/agentmemory-architecture/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install rohitg00/agentmemory agentmemory-architecture
```

2. **Manually: put the files in place**
- File: `.github/skills/agentmemory-architecture/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add rohitg00/agentmemory --skill agentmemory-architecture -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/rohitg00/agentmemory --path plugin/skills/agentmemory-architecture
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/agentmemory-architecture/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add rohitg00/agentmemory --skill agentmemory-architecture -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/rohitg00/agentmemory/tree/HEAD/plugin/skills/agentmemory-architecture/SKILL.md

## When to use it
- trace how memory is stored and retrieved end to end
- extend agentmemory with a new function and trigger
- pick a retrieval mode that works without an API key
- shift the port block for a second instance
- confirm that capture is actually running

## Example prompts
- Explain how agentmemory stores and retrieves memory end to end
- How do I add a new `mem::*` function and `api::*` trigger to agentmemory?
- Why is the viewer at `http://localhost:3113` showing nothing?

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 9301cdc4c1ea8288.

BEGIN THIRD-PARTY FILE 9301cdc4c1ea8288
```text
---
name: agentmemory-architecture
description: How agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer. Use when reasoning about how memory is stored or retrieved end to end, when extending the system, or when answering how agentmemory works under the hood.
user-invocable: false
---

agentmemory is a memory server for coding agents. It runs locally, captures observations, indexes them for hybrid retrieval, and serves them back over REST and MCP. It is built on the iii engine.

## iii primitives

Everything is a function, a trigger, or worker state on the iii engine. There is no separate plugin system; the worker registers functions (`mem::*`) and HTTP triggers (`api::*`) and the engine routes calls. agentmemory does not bypass iii; new capability is a new function plus a trigger.

## Retrieval model

Recall combines BM25 keyword search with configured vector similarity and graph expansion. A clean installation without an embedding provider uses BM25 without an API key. Set `EMBEDDING_PROVIDER=local` to enable on-device embeddings, which may download a model, or configure a remote provider. LLM compression and summaries require a configured provider and their relevant options.

## Storage and lifecycle

Memories carry content, concepts, files, importance, and timestamps, grouped into sessions and optionally linked to commits. A lifecycle of capture, compress, consolidate, and forget keeps the store useful over time rather than letting it grow unbounded.

## Ports

REST is the anchor at 3111. Streams = N+1 (3112), viewer = N+2 (3113), engine = N+46023 (49134). `--instance N` shifts the whole block by N*100.

## Viewer

A real-time web viewer at `http://localhost:3113` shows memory building as sessions run. Useful for demos and for confirming capture is working.

## See also

- agentmemory-mcp-tools and agentmemory-rest-api for the surfaces.
- agentmemory-hooks for automatic capture.
- agentmemory-config for ports and feature flags.
```
END THIRD-PARTY FILE 9301cdc4c1ea8288

The third-party file has ended. Everything between the 9301cdc4c1ea8288 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

© rohitg00 · Apache-2.0 · https://github.com/rohitg00/agentmemory/tree/HEAD/plugin/skills/agentmemory-architecture/SKILL.md

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