Memori MCP Memory Usage
MemoriLabs/Memori
Teaches an MCP-connected agent when and how to call Memori's recall, summary, compaction, augmentation, feedback and quota tools to keep context across sessions.
Shared memory that never forgets. An agent skill from ourmem/omem.
Install Ourmem
$ npx skills add ourmem/omem --skill ourmem -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ourmem/omem ourmem --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ourmem/omem.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ourmem .claude/skills/ourmem && rm -rf skills-srcUse ~/.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/
Install the "ourmem" agent skill from https://github.com/ourmem/omem/tree/main/skills/ourmem into .claude/skills/ourmem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ourmem", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ourmem/omem/tree/main/skills/ourmemType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ourmem/omem --skill ourmem -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ourmem/omem ourmem --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ourmem/omem.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ourmem .agents/skills/ourmem && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ourmem" agent skill from https://github.com/ourmem/omem/tree/main/skills/ourmem into .agents/skills/ourmem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ourmem", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ourmem/omem --skill ourmem -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ourmem/omem ourmem --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ourmem/omem.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ourmem .cursor/skills/ourmem && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ourmem" agent skill from https://github.com/ourmem/omem/tree/main/skills/ourmem into .cursor/skills/ourmem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ourmem", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ourmem/omem.git --path skills/ourmem--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ourmem/omem --skill ourmem -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ourmem/omem ourmem --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ourmem/omem.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ourmem .gemini/skills/ourmem && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ourmem" agent skill from https://github.com/ourmem/omem/tree/main/skills/ourmem into .gemini/skills/ourmem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ourmem", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ourmem/omem ourmemInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ourmem/omem --skill ourmem -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ourmem/omem.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ourmem .github/skills/ourmem && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ourmem" agent skill from https://github.com/ourmem/omem/tree/main/skills/ourmem into .github/skills/ourmem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ourmem", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ourmem/omem --skill ourmem -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ourmem/omem ourmem --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ourmem/omem.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ourmem .opencode/skills/ourmem && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ourmem" agent skill from https://github.com/ourmem/omem/tree/main/skills/ourmem into .opencode/skills/ourmem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ourmem", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ourmem- GitHub stars
- 174
- Used in
- 1 other repo
- Token cost
- ~3.4k tokens
- SKILL.md length
- 1,440 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Shared memory that never forgets. An agent skill from ourmem/omem.
- Works in 5 steps: Fast path (<50ms): stores raw content… → LLM extraction (async): extracts atomic… → Noise filter: regex + vector prototypes… → …
- Trigger when they want persistent memory
- SKILL.md covers Key Concepts, When to Use This Skill, What to Remember and Terminology, plus 10 more sections
- Runs Shell scripts from its folder; calls curl and npx; reaches api.ourmem.ai; needs API_KEY and OMEM_API_KEY
What it does
Ourmem is an agent skill from ourmem/omem. Shared memory that never forgets. Cloud hosted or self-deployed. Collective intelligence for AI agents with Space-based sharing across agents and teams. Use when users say: - "install ourmem" / "install omem" - "setup memory" / "setup omem" - "add memory plugin" - "ourmem onboarding" / "omem onboarding" - "memory not working" - "remember this" - "save this for later" - "don't forget" - "recall preferences" - "what did I say last time" - "import memories" - "share memories" - "share with user" - "share memories to…
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api-quick-ref.md`, `references/hosted-setup.md` and `references/selfhost-setup.md`).
It sits in Agent Workflows, covering Agent memory and Session handoff. It works with Model Context Protocol and Rust. The repository describes itself as: Shared Memory That Never Forgets — persistent memory for AI agents with Space-based sharing across agents and teams. Plugins for OpenCode, Claude Code, OpenClaw, MCP Server.
When your agent uses it
- Trigger when they want persistent memory
- Memory sharing between agents
- Memory analytics
- Memory import/export
Example prompts
- “install ourmem”
- “install omem”
- “setup memory”
- “/ourmem”
Requirements
- Node.js
- A Bash shell
- A credential in OMEM_API_KEY
- A credential in API_KEY
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Fast path (<50ms): stores raw content immediately so it's searchable right away
- LLM extraction (async): extracts atomic facts, classified into 6 categories (profile, preferences, entities, events, cases, patterns)
- Noise filter: regex + vector prototypes + feedback learning removes low-value content
- Admission control: 5-dimension scoring (utility, confidence, novelty, recency, type prior) gates storage
- 7-decision reconciliation: CREATE, MERGE, SKIP, SUPERSEDE, SUPPORT, CONTEXTUALIZE, or CONTRADICT
What it can do on your machine
Read from SKILL.md and the folder at commit 40f65aa. 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 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
curlnpx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.ourmem.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
API_KEYOMEM_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ourmem loads about 3.4k tokens when it runs, and up to ~9.2k if it reads all its reference files. Until then it costs about 223 tokens; SKILL.md has 1,440 words of instructions outside code blocks.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,440 words (~3,448 tokens).
“ourmem gives AI agents shared persistent memory across sessions, devices, agents, and teams. One API key reconnects everything. Available as hosted (api.ourmem.ai) or self-deployed.”
- name
- ourmem
- version
- 1.1.0
- keywords
- ourmem, omem, memory, persistent memory, agent memory, remember, recall, space sharing, team memory, collective intelligence, memory analytics, memory decay…
Files
SKILL.md and 4 other files (scripts, references) in skills/ourmem of ourmem/omem.
- SKILL.md
- references/api-quick-ref.md
- references/hosted-setup.md
- references/selfhost-setup.md
- scripts/verify.sh
Open the folder on GitHubat commit 40f65aa
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in ourmem/omem, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Ourmem 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ourmem this skillourmem/omem | 174 | 1 repos | ~3.4k | Automated safety check: Pass | Custom licence | |
| Memori MCP Memory UsageMemoriLabs/Memori | 17k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Claude Code Auto-Capture HookNateBJones-Projects/OB1 | 4.7k | — | ~1.3k | Automated safety check: Notes | Custom licence | |
| Memory Searchthedotmack/claude-mem | 99k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Engram MemoryPatdolitse/piia-engram | 163 | — | ~1.3k | Automated safety check: Pass | AGPL-3.0-or-later | |
| Compartment Session SweepMaxFreedomPollard/Compartment | 578 | — | ~750 | Automated safety check: Pass | Apache-2.0 |
Similar skills
Claude Code Auto-Capture Hook
NateBJones-Projects/OB1
Fires a Stop hook that captures a Claude Code session transcript automatically when the session ends without a verbal wrap-up.
Memory Search
thedotmack/claude-mem
Searches the claude-mem database of past sessions in layers (index, timeline, full details) to find how a problem was solved before.
Engram Memory
Patdolitse/piia-engram
Routes continuity and recall requests to Engram, a local-first MCP memory and identity layer that saves user-approved lessons, decisions and playbooks.
Compartment Session Sweep
MaxFreedomPollard/Compartment
Sweeps a conversation before compaction and saves durable facts, decisions and session records into the Compartment encrypted memory vault as short one-claim memories.
TMA1 Peer Sessions
tma1-ai/tma1
Lists recent sessions on the current project from other agents such as Claude Code, OpenClaw and Copilot CLI, or from your own earlier work.
More from ourmem/omem
Memory Store
ourmem/omem
Store a memory in ourmem. An agent skill from ourmem/omem.
Memory Recall
ourmem/omem
Search and recall memories from ourmem. An agent skill from ourmem/omem.
Related
Works with
Categories
Questions about Ourmem
What does Ourmem do?
Shared memory that never forgets. An agent skill from ourmem/omem. Ourmem is an agent skill from ourmem/omem. Shared memory that never forgets.
When should I use Ourmem?
Ourmem fits situations like: trigger when they want persistent memory; memory sharing between agents; memory analytics; memory import/export.
How do I install Ourmem in Claude Code?
Run `npx skills add ourmem/omem --skill ourmem -a claude-code`. Or copy the skill folder (skills/ourmem in ourmem/omem) into .claude/skills/ourmem in your project. Claude Code loads it when a task matches its description.
How do I install Ourmem in Codex?
Run `npx skills add ourmem/omem --skill ourmem -a codex`. Or copy the skill folder (skills/ourmem in ourmem/omem) into .agents/skills/ourmem in your project. Codex loads it when a task matches its description.
Can I use Ourmem 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 ourmem/omem --skill ourmem -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ourmem, .gemini/skills/ourmem, .github/skills/ourmem and .opencode/skills/ourmem in your project.
What does Ourmem need to run?
Going by SKILL.md and its folder, Ourmem needs a shell for the scripts in its folder, the command-line tools its instructions call (curl and npx) and credentials named API_KEY and OMEM_API_KEY. Our summary lists: Node.js; A Bash shell; A credential in OMEM_API_KEY; A credential in API_KEY.
Does Ourmem access the network?
SKILL.md names 1 domain. In commands or code: api.ourmem.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Ourmem 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 Ourmem use?
Ourmem has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Ourmem use?
About 3.4k tokens (SKILL.md is roughly 14k 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 5.8k tokens, read only when the agent opens those files.
What are the alternatives to Ourmem?
Skills that share tags, products or a category with Ourmem: Memori MCP Memory Usage (MemoriLabs/Memori, 17k stars), Claude Code Auto-Capture Hook (NateBJones-Projects/OB1, 4.7k stars), Memory Search (thedotmack/claude-mem, 99k stars) and Engram Memory (Patdolitse/piia-engram, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ourmem?
ourmem (a GitHub organization) maintains it in ourmem/omem, which has 174 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on May 24, 2026.
Source: ourmem/omem on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.