SlashML Memory (slashml-memory)

Official SlashML (/ ml) plugin, skill, and MCP server for sub-millisecond persistent memory, ambient lifecycle hooks, behavioral code search, and bug localization.

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Overview

SlashML provides persistent conversational memory, repository symbol recall, and automatic rule enforcement for AI coding agents:

• Persistent Memory (search_memories, add_memory, get_memories, forget_memory): Store and retrieve architectural decisions, user preferences, and standing project rules across sessions.
• Behavioral Code Search (search_code_by_behavior, index_repository): Locate functions, classes, and modules by runtime or architectural behavior.
• Bug Localization (find_bug_candidates): Rank candidate functions and files most likely responsible for a symptom or stack trace.
• Ambient Lifecycle Hooks (hooks/hooks.json): Automatically assimilate new standing instructions on UserPromptSubmit and check tool calls against active rules on PreToolUse, PostToolUse, and Stop.

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Configuration

Install directly in Claude Code:

/plugin install slashml-memory --marketplace slashml-ai/ml-memory

When installing the plugin in Claude Code, provide your SlashML API key (sml_live_... from https://app.slashml.ai) when prompted for the api_key plugin option.

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Python & TypeScript SDK Usage

Python (slashml-memory)

from slashml import SlashMLMemory

memory = SlashMLMemory(api_key="sml_live_...")
memory.add("User prefers dark mode and strict TypeScript.", user_id="u_123")
hits = memory.search("What are the user's coding preferences?", user_id="u_123")

TypeScript (@slashml/memory)

import { SlashMLMemory } from "@slashml/memory";

const memory = new SlashMLMemory({ apiKey: "sml_live_..." });
await memory.add("We migrated auth from JWT to session cookies", { userId: "team_backend" });
const results = await memory.search("How does auth work?", { userId: "team_backend" });

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License

Apache-2.0. See LICENSE for details.