Agent skill

Mem0 Context Loader for OpenCode

by mem0ai in mem0ai/mem0

Searches Mem0 memories from earlier OpenCode sessions in the repository and prints a plain-text block of up to 10 relevant ones before a task begins.

Apache-2.0Auto-check passedAgent Workflows

Install Mem0 Context Loader for OpenCode

skills CLI
$ npx skills add mem0ai/mem0 --skill mem0-context-loader -a claude-code

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

GitHub CLI
$ gh skill install mem0ai/mem0 mem0-context-loader --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/mem0ai/mem0.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/opencode-plugin/opencode-skills/mem0-context-loader .claude/skills/mem0-context-loader && 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
mem0-context-loader
GitHub stars
67k
Token cost
~385 tokens
SKILL.md length
142 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

Searches Mem0 memories from earlier OpenCode sessions in the repository and prints a plain-text block of up to 10 relevant ones before a task begins.

  • Works in 4 steps: Extract topics from current… → Call search_memories once with a focused… → Output compact context block (max 10… → …
  • Starting a task in OpenCode where earlier sessions may hold the answer
  • SKILL.md covers Steps, Constraints and Output formatting
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Before a task, the skill extracts file paths, module names, feature areas and error patterns from your request. It then calls search_memories once with a focused question about the task, filtered by user ID and app ID, asking for the top 10 results.

It prints a compact block of at most 10 memories, each labeled as a decision or convention with a short Mem0 ID, leaves out any already visible in the session, and prints nothing when there are no hits. It never edits or deletes memories. Output has to be plain text with indentation and dashes instead of markdown, because the OpenCode terminal interface shows markdown characters verbatim.

When your agent uses it

  • Starting a task in OpenCode where earlier sessions may hold the answer
  • Checking past decisions and conventions before touching a module
  • Skipping searches and file reads that earlier work already covered

Example prompts

  • “Before we change the auth middleware, load what earlier sessions recorded about it.”
  • “Pull any remembered conventions for the billing module into context.”
  • “Check Mem0 for past errors similar to this build failure.”

Requirements

  • The Mem0 plugin for OpenCode, with its search_memories tool

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Extract topics from current message/task. Identify: file paths, module names, feature areas, error patterns.
  2. Call search_memories once with a focused question about the task: filters={"AND": [{"user_id": ""}, {"app_id": ""}]}, top_k=10.
  3. Output compact context block (max 10 memories)
  4. If zero results: output nothing. Don't announce empty context.

What it can do on your machine

Read from SKILL.md and the folder at commit c93420c. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Mem0 Context Loader for OpenCode loads about 385 tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 142 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~385

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from mem0ai/mem0 at commit c93420c, republished under its Apache-2.0 licence (© mem0ai). 142 words, ~385 tokens.

Download SKILL.mdSave it as .claude/skills/mem0-context-loader/SKILL.md (or your agent's skills folder).
name
mem0-context-loader
description
Search memories from earlier OpenCode sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments.

Context Loader

Pre-fetches relevant memories to prime context before working on a task.

Steps

  1. Extract topics from current message/task. Identify: file paths, module names, feature areas, error patterns.

  2. Call search_memories once with a focused question about the task: filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10.

  3. Output compact context block (max 10 memories):

context-loader: loaded <N> memories for "<task summary>"
  - [decision] <content> [mem0:<short_id>]
  - [convention] <content> [mem0:<short_id>]
  - [anti_pattern] <content> [mem0:<short_id>]
  1. If zero results: output nothing. Don't announce empty context.

Constraints

  • Read-only — never modify or delete memories
  • Max 10 memories returned (most relevant only)
  • Silent on empty — only surfaces findings if relevant context exists
  • Skip memories already visible in current session context

Output formatting

IMPORTANT: Do NOT use markdown in your output. OpenCode TUI renders text verbatim — markdown like bold, ## headers, and | table | syntax appears as raw characters. Use plain text with indentation for structure. Use dashes for lists. Use spaces to align columns instead of markdown tables.

© mem0ai, 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

Just SKILL.md in integrations/opencode-plugin/opencode-skills/mem0-context-loader of mem0ai/mem0.

Open the folder on GitHubat commit c93420c

Compare with similar skills

Mem0 Context Loader for OpenCode 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.

Mem0 Context Loader for OpenCode compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mem0 Context Loader for OpenCode this skillmem0ai/mem067k—~385Automated safety check: PassApache-2.0
Agenticx Memory ArchitectDemonDamon/AgenticX279—~1.1kAutomated safety check: PassApache-2.0
Memori Long-Term MemoryMemoriLabs/Memori17k—~2kAutomated safety check: NotesCustom licence
Memori Long-Term MemoryMemoriLabs/Memori17k—~2kAutomated safety check: PassApache-2.0
MemPalace Recall for Planningopen-gsd/gsd-core10k1 repos~1.5kAutomated safety check: NotesMIT
Planning with FilesOthmanAdi/planning-with-files27k—~2.9kAutomated safety check: PassMIT

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More from mem0ai/mem0

All 25 skills in this repo
  • Adds persistent memory to AI apps with the Mem0 Python and TypeScript SDKs: store, search, update and delete user memories, with framework integrations.

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  • Adds, searches, lists, updates and deletes memories on the Mem0 platform from the terminal with the mem0 command, including a JSON mode built for agents.

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  • Adds persistent memory to Vercel AI SDK apps with the Mem0 provider, using a wrapped model or standalone retrieve and store utilities.

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  • Finds and deletes specific mem0 memories by search query or ID, always asking for confirmation first, and can undo the most recent memories added this session.

    67k GitHub stars~664 tokensUpdated yesterday
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  • Saves a fact, decision or preference the user states into mem0 as written, labeled with a memory type such as decision, convention or user_preference.

    67k GitHub stars~560 tokensUpdated yesterday
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  • Shows or changes the default Mem0 memory scope, project, session or global, which decides where memories are saved and searched.

    67k GitHub stars~1.1k tokensUpdated yesterday
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Works with

Categories

Questions about Mem0 Context Loader for OpenCode

What does Mem0 Context Loader for OpenCode do?

Searches Mem0 memories from earlier OpenCode sessions in the repository and prints a plain-text block of up to 10 relevant ones before a task begins. Before a task, the skill extracts file paths, module names, feature areas and error patterns from your request. It then calls search_memories once with a focused question about the task, filtered by user ID and app ID, asking for the top 10 results.

When should I use Mem0 Context Loader for OpenCode?

Mem0 Context Loader for OpenCode fits situations like: starting a task in OpenCode where earlier sessions may hold the answer; checking past decisions and conventions before touching a module; skipping searches and file reads that earlier work already covered.

How do I install Mem0 Context Loader for OpenCode in Claude Code?

Run `npx skills add mem0ai/mem0 --skill mem0-context-loader -a claude-code`. Or copy the skill folder (integrations/opencode-plugin/opencode-skills/mem0-context-loader in mem0ai/mem0) into .claude/skills/mem0-context-loader in your project. Claude Code loads it when a task matches its description.

How do I install Mem0 Context Loader for OpenCode in Codex?

Run `npx skills add mem0ai/mem0 --skill mem0-context-loader -a codex`. Or copy the skill folder (integrations/opencode-plugin/opencode-skills/mem0-context-loader in mem0ai/mem0) into .agents/skills/mem0-context-loader in your project. Codex loads it when a task matches its description.

Can I use Mem0 Context Loader for OpenCode 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 mem0ai/mem0 --skill mem0-context-loader -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mem0-context-loader, .gemini/skills/mem0-context-loader, .github/skills/mem0-context-loader and .opencode/skills/mem0-context-loader in your project.

What does Mem0 Context Loader for OpenCode need to run?

SKILL.md names no scripts, command-line tools or credentials: Mem0 Context Loader for OpenCode is instructions for the agent only. Our summary lists: The Mem0 plugin for OpenCode, with its search_memories tool.

Does Mem0 Context Loader for OpenCode access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Mem0 Context Loader for OpenCode 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. Review the folder before installing.

What licence does Mem0 Context Loader for OpenCode use?

Mem0 Context Loader for OpenCode is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mem0 Context Loader for OpenCode use?

About 385 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mem0 Context Loader for OpenCode?

Skills that share tags, products or a category with Mem0 Context Loader for OpenCode: Agenticx Memory Architect (DemonDamon/AgenticX, 279 stars), Memori Long-Term Memory (MemoriLabs/Memori, 17k stars), Memori Long-Term Memory (MemoriLabs/Memori, 17k stars) and MemPalace Recall for Planning (open-gsd/gsd-core, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mem0 Context Loader for OpenCode?

mem0ai (a GitHub organization) maintains it in mem0ai/mem0, which has 66,715 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 6, 2026.

Source: mem0ai/mem0 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.