Memory Search
ruvnet/ruflo
SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting
Use DataMind from Codex to ingest local files, query RAG or graph knowledge, store facts, and inspect profiles.
Install Datamind Context
$ npx skills add OpenDCAI/DataMind --skill datamind-context -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenDCAI/DataMind datamind-context --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/OpenDCAI/DataMind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/datamind-context/skills/datamind-context .claude/skills/datamind-context && 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 "datamind-context" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/plugins/datamind-context/skills/datamind-context into .claude/skills/datamind-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamind-context", 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/OpenDCAI/DataMind/tree/main/plugins/datamind-context/skills/datamind-contextType 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 OpenDCAI/DataMind --skill datamind-context -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenDCAI/DataMind datamind-context --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/datamind-context/skills/datamind-context .agents/skills/datamind-context && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "datamind-context" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/plugins/datamind-context/skills/datamind-context into .agents/skills/datamind-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamind-context", 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 OpenDCAI/DataMind --skill datamind-context -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenDCAI/DataMind datamind-context --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/datamind-context/skills/datamind-context .cursor/skills/datamind-context && 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 "datamind-context" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/plugins/datamind-context/skills/datamind-context into .cursor/skills/datamind-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamind-context", 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/OpenDCAI/DataMind.git --path plugins/datamind-context/skills/datamind-context--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 OpenDCAI/DataMind --skill datamind-context -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenDCAI/DataMind datamind-context --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/datamind-context/skills/datamind-context .gemini/skills/datamind-context && 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 "datamind-context" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/plugins/datamind-context/skills/datamind-context into .gemini/skills/datamind-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamind-context", 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 OpenDCAI/DataMind datamind-contextInstalls 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 OpenDCAI/DataMind --skill datamind-context -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/datamind-context/skills/datamind-context .github/skills/datamind-context && 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 "datamind-context" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/plugins/datamind-context/skills/datamind-context into .github/skills/datamind-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamind-context", 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 OpenDCAI/DataMind --skill datamind-context -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenDCAI/DataMind datamind-context --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/datamind-context/skills/datamind-context .opencode/skills/datamind-context && 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 "datamind-context" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/plugins/datamind-context/skills/datamind-context into .opencode/skills/datamind-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamind-context", 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
datamind-context- GitHub stars
- 423
- Token cost
- ~528 tokens
- SKILL.md length
- 235 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Use DataMind from Codex to ingest local files, query RAG or graph knowledge, store facts, and inspect profiles.
- Tasks that involve Retrieval-augmented generation
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Knowledge graphs
What it does
Datamind Context is an agent skill from OpenDCAI/DataMind. Use DataMind from Codex to ingest local files, query RAG or graph knowledge, store facts, and inspect profiles.
Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Retrieval-augmented generation and Knowledge graphs. The repository describes itself as: All-in-one intelligent assistant powered by LlamaIndex — RAG, GraphRAG, NL2SQL, Skills & Memory with multimodal support. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Retrieval-augmented generation
- Tasks that involve Knowledge graphs
Example prompts
- “/datamind-context”
What it can do on your machine
Read from SKILL.md and the folder at commit 61fd482. 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
Datamind Context loads about 528 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 235 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from OpenDCAI/DataMind at commit 61fd482, republished under its Apache-2.0 licence (© OpenDCAI). 235 words, ~528 tokens.
Download SKILL.mdSave it as
.claude/skills/datamind-context/SKILL.md (or your agent's skills folder).- name
- datamind-context
- description
- Use DataMind from Codex to ingest local files, query RAG or graph knowledge, store facts, and inspect profiles.
DataMind Context
Use this skill when the user asks Codex to use DataMind, ingest a local file or folder, query indexed knowledge, ask about relationships, remember a preference, or inspect profiles.
Prefer these tools:
datamind_raw_file_read— read paginated source or extracted document evidence with SHA-256.datamind_build_status— inspect build state and verify frozen artifacts.datamind_workspace_inspectbefore building surfaces from a workspace.datamind_use_folderto add a file or directory.datamind_graph_ingestto build only the graph from text files, or passbuild_graph=truetodatamind_use_folderto build KB and Graph together.datamind_graph_build_lineageto build file dependencies and provenance from a workspace.datamind_table_ingestto import CSV/TSV or Excel sheets as queryable tables.- Use
datamind_build_start, then ingest/build surfaces,datamind_build_freeze, anddatamind_build_verifybefore exporting a reusable build. - Use
datamind_surface_ingestfor one workspace-level routing operation across KB, SQL, and lineage Graph. datamind_askfor an evidence-backed answer across DataMind surfaces.datamind_rag_queryfor direct document search.datamind_graph_queryfor relationship and multi-hop questions.datamind_storefor conversational writes that should be routed by StoreAgent.datamind_rememberfor an explicit durable preference, decision, or fact.datamind_list_profilesanddatamind_statusto inspect local state.
The plugin is an adapter to the DataMind v1 runtime. Do not assume that it has an independent database, index, or memory store. Keep user source files intact; DataMind's ingest tools copy or index them according to the active profile and path safety policy.
PDF 解析支持可选的 MinerU API 优先适配；未安装或解析失败时自动回退到 pypdf。通过 DATAMIND_MINERU=off 可强制只使用 pypdf，DATAMIND_MINERU_API_URL 和 DATAMIND_MINERU_API_TIMEOUT_S 可指定 API 地址和超时。
© OpenDCAI, 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 plugins/datamind-context/skills/datamind-context of OpenDCAI/DataMind.
Open the folder on GitHubat commit 61fd482
Compare with similar skills
Datamind Context 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 |
|---|---|---|---|---|---|---|
| Datamind Context this skillOpenDCAI/DataMind | 423 | — | ~528 | Automated safety check: Pass | Apache-2.0 | |
| Memory Searchruvnet/ruflo | 74k | — | ~761 | Automated safety check: Notes | MIT | |
| Neo4j Vector Index Skillneo4j-contrib/neo4j-skills | 114 | — | ~5.6k | Automated safety check: Notes | MIT | |
| Cortexdb Memory Hermesliliang-cn/cortexdb | 274 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Cortexdb Memory Openclawliliang-cn/cortexdb | 274 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Scholar RAGjoshzyj/open-scholar-skill | 168 | — | ~7.4k | Automated safety check: Notes | Custom licence |
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Neo4j Vector Index Skill
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Create and manage Neo4j vector indexes, run vector similarity search (ANN/kNN), store embeddings on nodes or relationships, use SEARCH clause (Neo4j 2026.01+, preferred) or…
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Give a Python agent (such as Hermes Agent by Nous Research) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client…
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Give a Node.js agent (such as OpenClaw) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client npm package.
Scholar RAG
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Build and query a local vector database + GraphRAG over your entire reference library (Zotero or a PDF folder) for literature review.
Cortexdb
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Use CortexDB for local-first AI memory, vector search, RAG, knowledge graphs, SPARQL/RDFS/SHACL, corpus-to-graph workflows, external structured-data import (CSV / SQL dumps), and MCP/tool calling.
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Related
Categories
Questions about Datamind Context
What does Datamind Context do?
Use DataMind from Codex to ingest local files, query RAG or graph knowledge, store facts, and inspect profiles. Datamind Context is an agent skill from OpenDCAI/DataMind. Use DataMind from Codex to ingest local files, query RAG or graph knowledge, store facts, and inspect profiles.
When should I use Datamind Context?
Datamind Context fits situations like: tasks that involve Retrieval-augmented generation; tasks that involve Knowledge graphs.
How do I install Datamind Context in Claude Code?
Run `npx skills add OpenDCAI/DataMind --skill datamind-context -a claude-code`. Or copy the skill folder (plugins/datamind-context/skills/datamind-context in OpenDCAI/DataMind) into .claude/skills/datamind-context in your project. Claude Code loads it when a task matches its description.
How do I install Datamind Context in Codex?
Run `npx skills add OpenDCAI/DataMind --skill datamind-context -a codex`. Or copy the skill folder (plugins/datamind-context/skills/datamind-context in OpenDCAI/DataMind) into .agents/skills/datamind-context in your project. Codex loads it when a task matches its description.
Can I use Datamind Context 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 OpenDCAI/DataMind --skill datamind-context -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/datamind-context, .gemini/skills/datamind-context, .github/skills/datamind-context and .opencode/skills/datamind-context in your project.
What does Datamind Context need to run?
SKILL.md names no scripts, command-line tools or credentials: Datamind Context is instructions for the agent only.
Does Datamind Context 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 Datamind Context 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 Datamind Context use?
Datamind Context 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 Datamind Context use?
About 528 tokens (SKILL.md is roughly 2.1k 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 Datamind Context?
Skills that share tags, products or a category with Datamind Context: Memory Search (ruvnet/ruflo, 74k stars), Neo4j Vector Index Skill (neo4j-contrib/neo4j-skills, 114 stars), Cortexdb Memory Hermes (liliang-cn/cortexdb, 274 stars) and Cortexdb Memory Openclaw (liliang-cn/cortexdb, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Datamind Context?
OpenDCAI (a GitHub organization) maintains it in OpenDCAI/DataMind, which has 423 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 20, 2026.
Source: OpenDCAI/DataMind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.