/agentmemory-mcp-tools
Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP.
$ npx -y skills add rohitg00/agentmemory --skill agentmemory-mcp-tools --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/agentmemory-mcp-tools
Context preview
The summary Claude sees to decide when to auto-load this skill.
Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP.
SKILL.md
agentmemory-mcp-tools.SKILL.mdname: agentmemory-mcp-tools
description: Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP.
user-invocable: false
agentmemory exposes its full capability set as MCP tools. This skill is the index: it tells you which tool to reach for and where to find exact parameters.
Quick start
Save then recall:
1. `memory_save` with `content` (the insight), `concepts` (comma-separated keywords), `files` (comma-separated paths). 2. `memory_smart_search` with `query` and `limit` to retrieve it later. This runs hybrid BM25 plus vector plus graph-expanded search.
Tool families
- Capture: `memory_save`, `memory_observe` flows, `memory_compress_file`.
- Retrieve: `memory_smart_search`, `memory_recall`, `memory_file_history`, `memory_timeline`, `memory_vision_search`.
- Sessions and commits: `memory_sessions`, `memory_commits`, `memory_commit_lookup`.
- Knowledge and graph: `memory_lesson_save`, `memory_lesson_recall`, `memory_graph_query`, `memory_relations`, `memory_patterns`, `memory_crystallize`.
- Structured slots: `memory_slot_create`, `memory_slot_append`, `memory_slot_get`, `memory_slot_list`, `memory_slot_replace`, `memory_slot_delete`.
- Governance and health: `memory_governance_delete`, `memory_audit`, `memory_verify`, `memory_heal`, `memory_diagnose`.
Workflow
1. Pick the narrowest tool for the task. Prefer `memory_smart_search` for open recall, `memory_recall` when you already have a focused query, `memory_sessions` for session listings. 2. Look up exact parameter names and which are required in REFERENCE.md before calling. 3. Pass only documented fields. REST handlers whitelist fields and drop unknown ones.
See also
- agentmemory-rest-api for the HTTP equivalents.
- agentmemory-config for tool-visibility and feature flags.
- The user-invocable action skills (remember, recall, recap, handoff, forget) wrap the most common tools.
Reference
Full tool table with parameters and the core-set marking lives in REFERENCE.md, generated from source so it never drifts.
Read more
name: agentmemory-mcp-tools description: Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP. user-invocable: false
agentmemory exposes its full capability set as MCP tools. This skill is the index: it tells you which tool to reach for and where to find exact parameters.
Quick start
Save then recall:
1. `memory_save` with `content` (the insight), `concepts` (comma-separated keywords), `files` (comma-separated paths). 2. `memory_smart_search` with `query` and `limit` to retrieve it later. This runs hybrid BM25 plus vector plus graph-expanded search.
Tool families
- Capture: `memory_save`, `memory_observe` flows, `memory_compress_file`.
- Retrieve: `memory_smart_search`, `memory_recall`, `memory_file_history`, `memory_timeline`, `memory_vision_search`.
- Sessions and commits: `memory_sessions`, `memory_commits`, `memory_commit_lookup`.
- Knowledge and graph: `memory_lesson_save`, `memory_lesson_recall`, `memory_graph_query`, `memory_relations`, `memory_patterns`, `memory_crystallize`.
- Structured slots: `memory_slot_create`, `memory_slot_append`, `memory_slot_get`, `memory_slot_list`, `memory_slot_replace`, `memory_slot_delete`.
- Governance and health: `memory_governance_delete`, `memory_audit`, `memory_verify`, `memory_heal`, `memory_diagnose`.
Workflow
1. Pick the narrowest tool for the task. Prefer `memory_smart_search` for open recall, `memory_recall` when you already have a focused query, `memory_sessions` for session listings. 2. Look up exact parameter names and which are required in REFERENCE.md before calling. 3. Pass only documented fields. REST handlers whitelist fields and drop unknown ones.
See also
- agentmemory-rest-api for the HTTP equivalents.
- agentmemory-config for tool-visibility and feature flags.
- The user-invocable action skills (remember, recall, recap, handoff, forget) wrap the most common tools.
Reference
Full tool table with parameters and the core-set marking lives in REFERENCE.md, generated from source so it never drifts.
#1 Persistent memory for AI coding agents based on real-world benchmarks
Repo: rohitg00/agentmemory
Other skills on agentmemory.
- /agentmemory-agents
How agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are supported, or when a connect adapter writes the wrong config path.
Open skill - /agentmemory-architecture
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.
Open skill - /agentmemory-config
agentmemory configuration, environment variables, ports, and feature flags. Use when enabling a feature, changing ports, setting an API key, configuring auth, or explaining why a feature is off by default.
Open skill - /agentmemory-hooks
The agentmemory plugin hooks that capture observations automatically across the agent session lifecycle. Use when explaining how memory gets captured without manual saves, when debugging missing observations, or when tuning what gets recorded.
Open skill - /agentmemory-rest-api
The agentmemory HTTP REST API surface, the primary protocol for talking to the memory server. Use when calling agentmemory over HTTP, when MCP is unavailable and you need a fallback, or when integrating a host that does not speak MCP.
Open skill - /commit-context
Trace a file, function, or line back to the agent session that produced its current commit. Use when the user asks "why is this code here", "what was the agent doing when this changed", "who wrote this", or wants context on a specific location in the codebase.
Open skill

