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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.

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agentmemory
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SKILL.md

agentmemory-architecture.SKILL.md
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. Worker Compose runs the pinned iii engine with AgentMemory and the registry `state` and `http` workers. The state worker uses a file-backed KV store by default, with Redis available by configuration; it is not SQLite.

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 has no embedding provider and uses BM25 without an API key. Set `EMBEDDING_PROVIDER=local` to enable on-device embeddings, which download a model once. A remote embedding provider runs only when `EMBEDDING_PROVIDER` names it. LLM summaries, consolidation and reflection run only when `AGENTMEMORY_LLM_PROVIDER` selects a provider or `AGENTMEMORY_ALLOW_AGENT_SDK=true` turns on the Claude Agent SDK fallback; a key in the environment alone does not turn them on. Per-observation LLM compression also needs `AGENTMEMORY_AUTO_COMPRESS=true`.

Data boundary

Captured prompts, tool inputs and outputs, and memories stay in the local store. They leave the machine only through options the user turns on: a selected LLM provider, the Agent SDK fallback (`AGENTMEMORY_ALLOW_AGENT_SDK=true`), a remote embedding provider, a Redis state backend, or mesh sync to peer servers the user registers.

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 defaults to port `3111`, the viewer to `3113`, and the internal engine WebSocket to `49134`. Use `--port <N>` or `--instance <N>` to select another local runtime.

Viewer

A real-time web viewer at `http://localhost:3113` shows memory building as sessions run, with authenticated SSE updates over the REST port. 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.
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Questions about agentmemory-architecture.

Which coding agents can use agentmemory-architecture?
agentmemory-architecture installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.