LEANN
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + LangChain
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add yichuan-w/LEANN
Maintenance
fresh
4d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
13K
100/100 quality · 94/100 trust
Coverage tags
Review notes
No major risk signals from available metadata
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Agent install candidate
Use as the primary candidate after human or sandbox review.
Stars
13K GitHub stars
Repo activity
13K stars, 1.1K forks
Maintenance
4d since push
License
MIT
Install
npx skills add yichuan-w/LEANN
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Low metadata risk
- No major trust warnings detected from available metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Local desktop workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Navigate local resources
Suited agents
Install decision
- Command
- npx skills add yichuan-w/LEANN
- Policy
- allow
- Human review
- no
Trust and risk
- Trust
- 91/100
- Audit
- 96/100
- Risk level
- Safe to try
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Do not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- No major trust warnings detected from available metadata
- Production credentials, payments, or irreversible account changes without explicit human review
Agent safety v2
92/100 · Safe to install with normal review
Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace review.
Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add yichuan-w/LEANNAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20LEANN%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20LEANN%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yichuan-w-leann/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use LEANN in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20LEANN%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yichuan-w-leann/install
Install command: npx skills add yichuan-w/LEANN
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yichuan-w-leann/install
LLM text format
/api/skills/yichuan-w-leann/install?format=text
Find alternatives
/api/skills/search?q=LEANN&limit=3
Agent prompt
Use LEANN for this task. Review https://www.openagentskill.com/api/skills/yichuan-w-leann/install, then install with: npx skills add yichuan-w/LEANNRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yichuan-w-leann
LLM text
/api/registry/manifest/yichuan-w-leann?format=text
Install alias
/api/registry/install/yichuan-w-leann
Recommend
/api/registry/recommend?task=Use%20LEANN%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Python, RAG, Claude Code, OpenAI Agents, LangChain
Audit report
Safe to try · 96/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for Local desktop
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
- Local desktop workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 12,655 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
- 4 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one Local desktop task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Review then install
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS13K GitHub stars
Stars/forks activity
PASS13K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
- Manually verified listing
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Large GitHub adoption signal
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
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Overview
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 7/7/2026
- Published
- 5/23/2026
Frameworks & Tools
Decision snapshot
Primary pick
12,655 GitHub stars
Audit snapshot
Install review
Install and adoption review
- Security
- 90/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent Proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for LEANN, ready for a manual X post.
The useful research skills are not search wrappers. They help agents keep sources attached. LEANN helps agents turn docs, data, or knowledge bases into grounded work. 12.7K stars https://www.openagentskill.com/skills/yichuan-w-leann?ref=x #AIAgents
Optional reply with install command
Listing + install path for LEANN: https://www.openagentskill.com/skills/yichuan-w-leann?ref=x Install: npx skills add yichuan-w/LEANN
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- yichuan-w
- Source
- yichuan-w/LEANN
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This community indexed listing is attributed to yichuan-w but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/yichuan-w-leann)Author
yichuan-w✓
@yichuan-w
Platform Fit
Health Signals
- GitHub stars
- 12.7K
- Quality score
- 72/100
- Last GitHub push
- Jul 3, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Review then install
- GitHub adoption13K GitHub starsPASS
- Stars/forks activity13K stars, 1.1K forks; issue activity unavailable in current metadataPASS
- Recent maintenance4d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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