Agentmemory Rest Api

CommunityPopular

rohitg00

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.

Overview

Publisher	rohitg00
Repository	`agentmemory`
Skill name	`agentmemory-rest-api`
Stars	28.6K
Forks	2.5K
Bundled files	1
License	Apache-2.0
Links	Skill source Repository Homepage

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 Rest Api AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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-rest-api .claude/skills/agentmemory-rest-api

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agentmemory Rest Api 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 Rest Api 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 Rest Api 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.

REST is agentmemory's primary surface. MCP is a bridge on top of it. Every memory operation has an HTTP endpoint under http://localhost:3111/agentmemory/*.

Quick start

bash
# liveness
curl -fsS http://localhost:3111/agentmemory/livez

# save
curl -X POST http://localhost:3111/agentmemory/remember \
  -H "Content-Type: application/json" \
  -d '{"content":"chose JWT refresh rotation","concepts":["jwt-refresh-rotation"]}'

# recall
curl -X POST http://localhost:3111/agentmemory/smart-search \
  -H "Content-Type: application/json" \
  -d '{"query":"auth token strategy","limit":5}'

Auth

By default localhost is open and no auth is needed. When AGENTMEMORY_SECRET is set, every request needs Authorization: Bearer $AGENTMEMORY_SECRET. See agentmemory-config.

Conventions

Save returns 201, reads return 200, validation errors return 400.
Handlers whitelist body fields and drop unknown ones, so passing extra keys is safe but ignored.
The port is configurable with --port or --instance; streams, viewer, and engine derive from it.

Reference

The full endpoint list with methods lives in REFERENCE.md, generated from src/triggers/api.ts.

Bundled files

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

REFERENCE.md5 KB

Frequently asked questions

What does the Agentmemory Rest Api AI skill do?

Why use Agentmemory Rest Api on TypingMind?

Because you install it once and use it with any model. Agentmemory Rest Api 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 Rest Api in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-rest-api. 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 Rest Api?

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 Rest Api?

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

Is the Agentmemory Rest Api 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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Agentmemory Rest Api

Overview