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Agentmemory Hooks

CommunityPopular
rohitg00
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.

Overview

Publisherrohitg00
Repositoryagentmemory
Skill nameagentmemory-hooks
Stars
28.6K
Forks
2.5K
Bundled files
1
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Agentmemory Hooks AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rohitg00/agentmemory.git /tmp/agentmemory
mkdir -p .claude/skills
cp -r /tmp/agentmemory/plugin/skills/agentmemory-hooks .claude/skills/agentmemory-hooks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agentmemory Hooks in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agentmemory Hooks on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agentmemory Hooks is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

The Claude Code plugin registers lifecycle hooks so memory is captured automatically. You do not have to call memory_save for routine work; the hooks observe tool use, prompts, and session boundaries and write observations for you.

Quick start

Install the plugin and the hooks register themselves:

bash
/plugin marketplace add rohitg00/agentmemory
/plugin install agentmemory

Watch observations land live at http://localhost:3113.

What the hooks do

  • Session start and end frame each unit of work and let handoff resume it.
  • Tool-use hooks capture what changed and why, the raw material for recall and recap.
  • Prompt-submit captures intent. Pre-compact preserves context before the host trims it.
  • A post-commit hook links commits to sessions, which powers commit-context and commit-history.

Important

  • Capture is on by default and is zero-LLM. Turning observations into LLM summaries (AGENTMEMORY_AUTO_COMPRESS) and injecting them back into context (AGENTMEMORY_INJECT_CONTEXT) are separate opt-ins because they spend tokens.
  • If observations are missing, confirm the plugin is enabled and the server is running. See ../_shared/TROUBLESHOOTING.md.

See also

  • agentmemory-config for the capture and injection flags.
  • The handoff, recap, and session-history skills consume what these hooks record.

Reference

The exact registered hook events live in REFERENCE.md, generated from plugin/hooks/hooks.json.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agentmemory Hooks AI skill do?

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.

Why use Agentmemory Hooks on TypingMind?

Because you install it once and use it with any model. Agentmemory Hooks is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agentmemory Hooks in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-hooks. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agentmemory Hooks?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agentmemory Hooks?

As many as you like. As long as a model supports skills, you can use Agentmemory Hooks with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agentmemory Hooks AI skill free?

Yes. It is published on GitHub by rohitg00 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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