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Agent skill

Memory API

by VectorSpaceLab in VectorSpaceLab/AREX-Skill

Use this sub-skill for EverOS HTTP memory add, flush, search, get, multimodal content, prompt slots, and memory API troubleshooting.

Apache-2.0Auto-check passedBackend & APIs

Install Memory API

skills CLI
$ npx skills add VectorSpaceLab/AREX-Skill --skill memory-api -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install VectorSpaceLab/AREX-Skill memory-api --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/everos/sub-skills/memory-api .claude/skills/memory-api && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
memory-api
GitHub stars
328
Token cost
~748 tokens
SKILL.md length
240 words
Files
6 (incl. scripts, references)
Skills in repo
159
Repo updated
First seen
Licence
Apache-2.0

At a glance

Use this sub-skill for EverOS HTTP memory add, flush, search, get, multimodal content, prompt slots, and memory API troubleshooting.

  • Backend & APIs work in your project
  • SKILL.md covers Read/run map, Core endpoints, Minimal add/flush/search loop and Key decisions
  • Runs Python scripts from its folder; calls curl

What it does

Memory API is an agent skill from VectorSpaceLab/AREX-Skill. Use this sub-skill for EverOS HTTP memory add, flush, search, get, multimodal content, prompt slots, and memory API troubleshooting.

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/api-reference.md`, `references/troubleshooting.md` and `references/workflows.md`).

It sits in Backend & APIs. It works with OpenAPI. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.

When your agent uses it

  • Backend & APIs work in your project

Example prompts

  • “/memory-api”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Memory API loads about 748 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 240 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~748
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 240 words, ~748 tokens.

Download SKILL.mdSave it as .claude/skills/memory-api/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
memory-api
description
Use this sub-skill for EverOS HTTP memory add, flush, search, get, multimodal content, prompt slots, and memory API troubleshooting.
disable-model-invocation
true
metadata.disco-role
operating
license
Apache 2.0

EverOS Memory API

Use this sub-skill for application-level memory workflows through the EverOS HTTP API: adding conversations, flushing session buffers, searching user or agent memory, listing memory rows, handling multimodal content, and tuning prompt slots.

Read/run map

  • Read API reference for request/response shapes, owner scoping, filter DSL, search methods, and error envelopes.
  • Read workflows for add/flush/search loops, live demo-equivalent calls, prompt slots, and multimodal payload patterns.
  • Read troubleshooting for provider gates, validation errors, eventual consistency, search misses, and multimodal failures.
  • Run memory_http_smoke.py against a running server. It defaults to /health; add --add-flush-search only when writes are intended.
  • Run dump_everos_openapi.py to inspect the installed package OpenAPI schema without starting a server.

Core endpoints

Use /api/v2 for new integrations:

EndpointPurpose
POST /api/v2/memory/addAdd one or more messages to a session buffer; may extract if a boundary trips.
POST /api/v2/memory/flushForce extraction of the current session tail.
POST /api/v2/memory/searchRanked retrieval over user episodes/profiles or agent cases/skills.
POST /api/v2/memory/getPaginated listing over one memory type.

/api/v1 is a compatibility alias with the same handlers.

Minimal add/flush/search loop

bash
TS=$(($(date +%s) * 1000))
BASE=http://127.0.0.1:8000

curl -s -X POST "$BASE/api/v2/memory/add" \
  -H 'Content-Type: application/json' \
  -d "{\"session_id\":\"demo-001\",\"messages\":[{\"sender_id\":\"alice\",\"role\":\"user\",\"timestamp\":$TS,\"content\":\"I love climbing in Yosemite every spring.\"}]}"

curl -s -X POST "$BASE/api/v2/memory/flush" \
  -H 'Content-Type: application/json' \
  -d '{"session_id":"demo-001"}'

curl -s -X POST "$BASE/api/v2/memory/search" \
  -H 'Content-Type: application/json' \
  -d '{"user_id":"alice","query":"Where do I like to climb?","method":"hybrid","top_k":5}'

Key decisions

  • messages[].timestamp should be Unix epoch milliseconds.
  • sender_id becomes the user owner for user-role messages and is path-validated.
  • Exactly one of user_id or agent_id is required for /search and /get.
  • Use app_id and project_id to isolate tenants/projects; defaults are default.
  • Search can be eventually consistent after writes because LanceDB projection is asynchronous.
  • Multimodal content items require explicit parser/provider setup; plain string content is safest.

© VectorSpaceLab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/repositories/repo-skills/everos/sub-skills/memory-api of VectorSpaceLab/AREX-Skill.

  • SKILL.md
  • references/api-reference.md
  • references/troubleshooting.md
  • references/workflows.md
  • scripts/dump_everos_openapi.py
  • scripts/memory_http_smoke.py

Open the folder on GitHubat commit ac3fe1a

Compare with similar skills

Memory API next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memory API compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memory API this skillVectorSpaceLab/AREX-Skill328—~748Automated safety check: PassApache-2.0
ToolJet Marketplace Plugin BuilderToolJet/ToolJet41k—~2.1kAutomated safety check: PassAGPL-3.0
Step Partsearthtojake/text-to-cad18k1 repos~1.5kAutomated safety check: PassMIT
API DesignerJeffallan/claude-skills12k2 repos~2kAutomated safety check: PassMIT
OpenAPI to MCP Servermcp-use/mcp-use11k—~5.2kAutomated safety check: PassApache-2.0
Use Yaakmountain-loop/yaak19k—~1.9kAutomated safety check: PassMIT

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Works with

Categories

Questions about Memory API

What does Memory API do?

Use this sub-skill for EverOS HTTP memory add, flush, search, get, multimodal content, prompt slots, and memory API troubleshooting. Memory API is an agent skill from VectorSpaceLab/AREX-Skill. Use this sub-skill for EverOS HTTP memory add, flush, search, get, multimodal content, prompt slots, and memory API troubleshooting.

When should I use Memory API?

Memory API fits situations like: backend & APIs work in your project.

How do I install Memory API in Claude Code?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill memory-api -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/everos/sub-skills/memory-api in VectorSpaceLab/AREX-Skill) into .claude/skills/memory-api in your project. Claude Code loads it when a task matches its description.

How do I install Memory API in Codex?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill memory-api -a codex`. Or copy the skill folder (skills/repositories/repo-skills/everos/sub-skills/memory-api in VectorSpaceLab/AREX-Skill) into .agents/skills/memory-api in your project. Codex loads it when a task matches its description.

Can I use Memory API in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill memory-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-api, .gemini/skills/memory-api, .github/skills/memory-api and .opencode/skills/memory-api in your project.

What does Memory API need to run?

Going by SKILL.md and its folder, Memory API needs Python for the scripts in its folder and the command-line tools its instructions call (curl). Our summary lists: Python 3.

Does Memory API access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Memory API safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Memory API use?

Memory API is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memory API use?

About 748 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Memory API?

Skills that share tags, products or a category with Memory API: ToolJet Marketplace Plugin Builder (ToolJet/ToolJet, 41k stars), Step Parts (earthtojake/text-to-cad, 18k stars), API Designer (Jeffallan/claude-skills, 12k stars) and OpenAPI to MCP Server (mcp-use/mcp-use, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory API?

VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.

Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.