Brave Search
badlogic/pi-skills
Web search and content extraction via Brave Search API. An agent skill from badlogic/pi-skills.
Research an external subject using web search, synthesize findings into a structured Basic Memory entity.
Install Memory Research
$ npx skills add basicmachines-co/basic-memory --skill memory-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install basicmachines-co/basic-memory memory-research --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/basicmachines-co/basic-memory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/memory-research .claude/skills/memory-research && 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 "memory-research" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-research into .claude/skills/memory-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-research", 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/basicmachines-co/basic-memory/tree/main/skills/memory-researchType 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 basicmachines-co/basic-memory --skill memory-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install basicmachines-co/basic-memory memory-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/memory-research .agents/skills/memory-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memory-research" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-research into .agents/skills/memory-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-research", 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 basicmachines-co/basic-memory --skill memory-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install basicmachines-co/basic-memory memory-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/memory-research .cursor/skills/memory-research && 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 "memory-research" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-research into .cursor/skills/memory-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-research", 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/basicmachines-co/basic-memory.git --path skills/memory-research--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 basicmachines-co/basic-memory --skill memory-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install basicmachines-co/basic-memory memory-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/memory-research .gemini/skills/memory-research && 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 "memory-research" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-research into .gemini/skills/memory-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-research", 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 basicmachines-co/basic-memory memory-researchInstalls 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 basicmachines-co/basic-memory --skill memory-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/memory-research .github/skills/memory-research && 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 "memory-research" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-research into .github/skills/memory-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-research", 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 basicmachines-co/basic-memory --skill memory-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install basicmachines-co/basic-memory memory-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/memory-research .opencode/skills/memory-research && 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 "memory-research" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-research into .opencode/skills/memory-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-research", 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
memory-research- GitHub stars
- 4.1k
- Used in
- 1 other repo
- Token cost
- ~1.9k tokens
- SKILL.md length
- 602 words
- Files
- 1
- Skills in repo
- 49
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Research an external subject using web search, synthesize findings into a structured Basic Memory entity.
- Works in 6 steps: Web Research → Check Existing Knowledge → Evaluate and Summarize → …
- Asked to research a company
- SKILL.md covers Workflow and Guidelines
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Memory Research is an agent skill from basicmachines-co/basic-memory. Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Use when asked to research a company, person, technology, or topic — or when a bare name or URL is provided that implies a research request.
Its SKILL.md is about 1.9k 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 Productivity & Automation, covering Web search. The repository describes itself as: AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN. The licence is AGPL-3.0.
When your agent uses it
- Asked to research a company
- URL is provided that implies a research request
Example prompts
- “/memory-research”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 6982cfc. 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 (its code samples are python and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.parallel.ai
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 Research loads about 1.9k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 602 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 basicmachines-co/basic-memory at commit 6982cfc, republished under its AGPL-3.0 licence (© basicmachines-co). 602 words, ~1,938 tokens.
Download SKILL.mdSave it as
.claude/skills/memory-research/SKILL.md (or your agent's skills folder).- name
- memory-research
- description
- Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Use when asked to research a company, person, technology, or topic — or when a bare name or URL is provided that implies a research request.
Memory Research
Research an external subject, synthesize what you find, and create a structured Basic Memory entity — with the user's approval.
Workflow
Step 1: Web Research
Basic Memory does not include a web search tool. If this host already has one, use it. If it does not, the user can add any web search tool or MCP server, for example Parallel Search MCP. Search queries go to that provider, so keep private note content out of them. Still ask before saving a note.
Search for current information across multiple sources. Aim for 3-5 searches to build a well-rounded picture:
[subject name] site
[subject name] overview
[subject name] news [current year]
[subject name] [relevant domain keywords]What to gather by entity type:
| Entity Type | Key Information |
|---|---|
| Organization | What they do, products/services, stage (startup/growth/public), funding, leadership, headquarters, employee count, notable partnerships or contracts |
| Person | Current role, organization, background, expertise, notable work, public presence |
| Technology | What it does, who maintains it, maturity, ecosystem, alternatives, adoption |
| Topic/Domain | Definition, current state, key players, trends, relevance to user's context |
Step 2: Check Existing Knowledge
Before proposing a new entity, search Basic Memory:
search_notes(query="Acme Corp")
search_notes(query="acme")Try name variations — full name, abbreviation, acronym, domain name.
If the entity already exists:
- Report what you found in Basic Memory alongside your web research
- Offer to update the existing note with new information
- Use
edit_noteto append new observations or update outdated ones
If the entity doesn't exist, proceed to evaluation.
Step 3: Evaluate and Summarize
Present your findings in a structured summary. Include all relevant information organized by section:
## [Subject Name]
**Type:** [Organization / Person / Technology / Topic]
**Summary:** [2-4 sentences: what this is, why it matters, key distinguishing facts]
**Key Details:**
- [Organized by what's relevant for the entity type]
- [Stage, funding, leadership for orgs]
- [Role, expertise, affiliations for people]
- [Maturity, ecosystem, alternatives for tech]
**Relevance:** [Why this matters to the user — connection to their work, domain, or interests.
If no obvious connection: "No specific connection identified."]
**Sources:**
- [URLs of key sources consulted]Evaluation Guidelines
Use hedging language. Web research is a snapshot, not ground truth:
- "Appears to be", "Based on public information", "Estimated"
- "As of [date]", "According to [source]"
- Never state funding amounts, employee counts, or revenue as exact unless citing a primary source
Don't fabricate. If information isn't available, say so:
- "Leadership information not publicly available"
- "Funding details not disclosed"
Let the user define relevance. Don't impose a fixed evaluation framework. Instead, highlight facts and let the user draw conclusions. If the user has a specific evaluation rubric (strategic fit, buy/partner/compete, etc.), they'll tell you — apply it when asked.
Step 4: Propose Entity Creation
After presenting the summary, ask for approval:
Create Basic Memory entity for [Subject]?
Location: [suggested-folder]/[entity-name].md
Type: [entity type]
[yes / no / modify]If the user provided context with their request ("saw them at the conference"), include that context in the proposed entity.
Show full SKILL.md (231 more words)Show less
Step 5: Create the Entity
After approval, create a structured note. Adapt the template to the entity type:
Organization
write_note(
title="Acme Corp",
directory="organizations",
note_type="organization",
tags=["organization", "relevant-tags"],
content="""# Acme Corp
## Overview
[2-3 sentence description from research]
## Products & Services
- [Key offerings discovered in research]
## Background
**Stage:** [Startup / Growth / Public]
**Headquarters:** [Location]
**Employees:** [Estimate, hedged]
**Leadership:** [Key people if found]
**Founded:** [Year if found]
## Observations
- [relevance] Why this entity matters in user's context
- [source] Researched on YYYY-MM-DD
- [additional observations from research findings]
## Relations
- [Link to related entities already in the knowledge graph]"""
)Person
write_note(
title="Jane Smith",
directory="people",
note_type="person",
tags=["person", "relevant-tags"],
content="""# Jane Smith
## Overview
[Current role and affiliation. Brief background.]
## Background
**Role:** [Title at Organization]
**Expertise:** [Key domains]
**Notable:** [Publications, talks, projects if found]
## Observations
- [role] Title at Organization
- [expertise] Key technical or domain expertise
- [source] Researched on YYYY-MM-DD
## Relations
- works_at [[Organization]]"""
)Technology
write_note(
title="Technology Name",
directory="concepts",
note_type="concept",
tags=["concept", "technology", "relevant-tags"],
content="""# Technology Name
## Overview
[What it is and what problem it solves]
## Key Details
**Maintained by:** [Organization or community]
**Maturity:** [Experimental / Stable / Mature]
**License:** [If applicable]
**Alternatives:** [Comparable tools or approaches]
## Observations
- [definition] What this technology does in one sentence
- [maturity] Current state and adoption level
- [source] Researched on YYYY-MM-DD
## Relations
- [Link to related concepts, tools, or projects in the knowledge graph]"""
)Adapt these templates freely. The key elements are: note_type/tags parameters, an overview, structured details, observations with categories, and relations.
Step 6: Store Source Context
If the user provided context with their request, capture it in the entity:
# User said: "Acme Corp — saw their demo at the conference last week"
edit_note(
identifier="Acme Corp",
operation="insert_after_section",
section="Observations",
content="- [context] Saw their demo at conference, week of 2026-02-17"
)This context is often the most valuable part — it's the user's relationship to the entity, which web research can't provide.
Guidelines
- Always web search. Don't rely on training data alone. Research should reflect current, verifiable information.
- Search Basic Memory first. Check for existing entities before creating new ones. Update rather than duplicate.
- Hedge uncertain information. Use qualifiers for estimates, unverified claims, and inferred details.
- Store source URLs. Include the URLs you consulted, either in observations or a Sources section. This enables the user to verify and dig deeper.
- Get approval before creating. Present your findings and let the user decide whether to create the entity and what to include.
- Capture user context. If the user told you why they're researching (met at a conference, evaluating as a vendor, etc.), that context belongs in the entity.
- Don't over-research. 3-5 web searches is usually enough. The goal is a useful knowledge graph entry, not an exhaustive report.
- Link to existing knowledge. Relate the new entity to things already in the knowledge graph. Connections compound value.
© basicmachines-co, AGPL-3.0. 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 skills/memory-research of basicmachines-co/basic-memory.
Open the folder on GitHubat commit 6982cfc
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 basicmachines-co/basic-memory, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Memory Research 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 |
|---|---|---|---|---|---|---|
| Memory Research this skillbasicmachines-co/basic-memory | 4.1k | 1 repos | ~1.9k | Automated safety check: Pass | AGPL-3.0 | |
| Brave Searchbadlogic/pi-skills | 2.6k | 6 repos | ~592 | Automated safety check: Pass | MIT | |
| Enterprise AI Scenario MapMetaInFLow/Enterprise-ai-scenario-map-skill | 632 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Web Searchjjyaoao/HelloAgents | 3.2k | 1 repos | ~5.6k | Automated safety check: Pass | MIT | |
| Ddg SearchTheSyart/claude-agent-examples | 404 | 1 repos | ~493 | Automated safety check: Pass | None | |
| Local Web SearchuluckyXH/OpenMOSS | 1.3k | — | ~392 | Automated safety check: Notes | MIT |
Similar skills
Enterprise AI Scenario Map
MetaInFLow/Enterprise-ai-scenario-map-skill
企业AI场景地图生成报告工具。通过 web-search 深度调研企业信息，按照V2.1标准模板生成结构化AI应用场景地图报告，包含企业画像、业务诊断、行业实践、AI场景全量表、实施路径等完整内容。
Web Search
jjyaoao/HelloAgents
Implement web search capabilities using the z-ai-web-dev-sdk.
Ddg Search
TheSyart/claude-agent-examples
Web search without an API key using DuckDuckGo Lite via webfetch.
Local Web Search
uluckyXH/OpenMOSS
A skill your agent uses when the user asks for web search that should run via the local-160 Responses API with websearch tool (base URL like https://proxy.example.com, model gpt-5.2-codex(xhigh)).
Web Search
EXboys/skilllite
Web search and content extraction with Tavily and Exa via inference.sh CLI.
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Related
Categories
Questions about Memory Research
What does Memory Research do?
Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Memory Research is an agent skill from basicmachines-co/basic-memory. Research an external subject using web search, synthesize findings into a structured Basic Memory entity.
When should I use Memory Research?
Memory Research fits situations like: asked to research a company; URL is provided that implies a research request.
How do I install Memory Research in Claude Code?
Run `npx skills add basicmachines-co/basic-memory --skill memory-research -a claude-code`. Or copy the skill folder (skills/memory-research in basicmachines-co/basic-memory) into .claude/skills/memory-research in your project. Claude Code loads it when a task matches its description.
How do I install Memory Research in Codex?
Run `npx skills add basicmachines-co/basic-memory --skill memory-research -a codex`. Or copy the skill folder (skills/memory-research in basicmachines-co/basic-memory) into .agents/skills/memory-research in your project. Codex loads it when a task matches its description.
Can I use Memory Research 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 basicmachines-co/basic-memory --skill memory-research -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-research, .gemini/skills/memory-research, .github/skills/memory-research and .opencode/skills/memory-research in your project.
What does Memory Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Memory Research is instructions for the agent only. Our summary lists: Python 3.
Does Memory Research access the network?
SKILL.md names 1 domain. As links in the text: docs.parallel.ai. This is read from the text; nothing was executed.
Is Memory Research 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 Memory Research use?
Memory Research is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Memory Research use?
About 1.9k tokens (SKILL.md is roughly 7.8k 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 Memory Research?
Skills that share tags, products or a category with Memory Research: Brave Search (badlogic/pi-skills, 2.6k stars), Enterprise AI Scenario Map (MetaInFLow/Enterprise-ai-scenario-map-skill, 632 stars), Web Search (jjyaoao/HelloAgents, 3.2k stars) and Ddg Search (TheSyart/claude-agent-examples, 404 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Memory Research?
basicmachines-co (a GitHub organization) maintains it in basicmachines-co/basic-memory, which has 4,107 GitHub stars. The repository holds 49 skills in this directory. The repository was last updated on October 7, 2026.
Source: basicmachines-co/basic-memory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.