Borrowing it
Nothing to install: this file belongs to vixues/LeAgent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vixues/LeAgent/main/AGENTS.mdgit clone --depth 1 https://github.com/vixues/LeAgentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/vixues/leagent/agents-md)<a href="https://agentmods.dev/instructions/vixues/leagent/agents-md"><img src="https://agentmods.dev/badge/instructions/vixues/leagent/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/vixues/leagent/agents-md"><img src="https://agentmods.dev/badge/instructions/vixues/leagent/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.06799 | $0.06799 |
| Opus 5.5 | $0.02720 | $0.02720 |
| Sonnet 5.5 | $0.01360 | $0.01360 |
| Haiku 4.5 | $0.00680 | $0.00680 |
Grade A, and why
LeAgent AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 462 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LeAgent Development Guidelines
AI coding assistants: this file is the concise contributor reference. For deep subsystem docs see docs/technical/.
Project Overview
LeAgent is an open-source desktop AI agent stack that doesn't just chat — it gets work done. It fuses three capabilities most agents keep apart: a streaming agent runtime that plans, calls tools, and self-corrects in one think-act loop; agentic visual workflows where the agent designs, runs, and refines ReactFlow DAGs (every tool is automatically a typed node); and a generative UI layer that streams live, interactive interfaces (KPI boards, slide decks, galleries) into the chat. Key pieces: QueryEngine session orchestrator, 100+ domain tools across 13 categories, a versioned Agent SDK, layered prompt management, cognitive three-store agent memory, a relevance-gated context pipeline, a visual workflow builder (ReactFlow) with a first-class game-art asset pipeline, Agent Skills v1.0, MCP, and a declarative YAML rule engine. Runs locally with zero external dependencies by default (SQLite, single process). Providers: DeepSeek, DashScope (Qwen), OpenAI, Anthropic, Azure OpenAI, Ollama, vLLM.
Architecture
LeAgent/
├── backend/
│ ├── leagent/
│ │ ├── agent/ # QueryEngine, controller (compat shim), planner, subagents, recovery
│ │ ├── sdk/ # Versioned public Agent SDK: runtime re-exports, kernel, protocols
│ │ ├── runtime/ # ExecutionRun plane, AgentRuntime, platform/service wiring
│ │ ├── alembic/ # Alembic migration scripts
│ │ ├── api/ # FastAPI routers (v1, incubating v2)
│ │ ├── bootstrap/ # Tool + workflow-node startup
│ │ ├── channels/ # Outbound + IM ingress (DingTalk, Feishu, WeChat Work, Weixin/iLink, console)
│ │ ├── chat_workflow/ # Chat-workflow compilation + embed
│ │ ├── cli/ # Click CLI (23 modules)
│ │ ├── code/ # Code execution layer (sandbox, workspace, runner)
│ │ ├── config/ # pydantic-settings
│ │ ├── context/ # Source-driven, relevance-gated prompt assembly
│ │ ├── cron/ # Scheduled jobs + repository
│ │ ├── db/ # Persistence: async engine, SQLModel models, repositories
│ │ ├── file/ # Unified file layer (primitives, FileService, storage)
│ │ ├── llm/ # LLM service + providers + transport + streaming + media generation
│ │ ├── mcp/ # Model Context Protocol
│ │ ├── memory/ # AgentMemory (episodic/semantic/procedural) + recall
│ │ ├── project/ # Coding project layer (fs, tools, manager, templates)
│ │ ├── prompts/ # PromptBuilder, registry, templates
│ │ ├── rules/ # Rule engine + YAML definitions
│ │ ├── services/ # ServiceManager, auth, chat, session, gen-ui, ...
│ │ ├── skills/ # Agent Skills v1.0
│ │ ├── tasks/ # Background task system + handlers
│ │ ├── telemetry/ # OTel tracing, structured logging, trace propagation
│ │ ├── tools/ # 100+ tools across 13 categories (doc, web, data,
│ │ │ # db, gen, canvas, chart, image, media, skills,
│ │ │ # workflow, integration, util)
│ │ └── workflow/ # DAG engine, nodes, art pipeline, templates
│ └── tests/
├── frontend/ # React 19 + TypeScript SPA
├── desktop/ # Electron shell (bundled Python runtime)
├── deploy/ # Dockerfile + SQLite-only Compose
├── config/ # Demo workflows + workflow templates
├── docs/ # Architecture, guides, deployment docs
├── scripts/ # Install scripts (sh, ps1, bat)
├── website/ # Project website
└── start.sh / start.ps1 # Dev orchestrator (uv + npm)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 462 lines · 6,799 tokens per session scan A 1f5ef53dd74d
LeAgent AGENTS.md is an instructions file published in the GitHub repository vixues/LeAgent (239 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 6,799 tokens to every session, about $0.0272 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
LeAgent AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| LeAgent AGENTS.mdvixues/LeAgent | Instructions file | 239 | 2mo ago | Apache-2.0 | A | 6,799 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |