Borrowing it
Nothing to install: this file belongs to bigduu/Zenith. 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/bigduu/Zenith/main/AGENTS.mdgit clone --depth 1 https://github.com/bigduu/ZenithWrote 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/bigduu/zenith/agents-md)<a href="https://agentmods.dev/instructions/bigduu/zenith/agents-md"><img src="https://agentmods.dev/badge/instructions/bigduu/zenith/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/bigduu/zenith/agents-md"><img src="https://agentmods.dev/badge/instructions/bigduu/zenith/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 | $0.03474 | $0.03474 |
| Opus 5.5 | $0.01390 | $0.01390 |
| Sonnet 5.5 | $0.00695 | $0.00695 |
| Haiku 4.5 | $0.00347 | $0.00347 |
Grade A, and why
Zenith 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 8d 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 — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
Zenith is a thin monorepo wrapper around eight Git submodules:
bamboo/: Rust AI-agent backend framework (src/,tests/,docs/).bodhi/: Tauri desktop shell (src-tauri/) that coordinates withlotus-next.pavilion/: React + Vite official website and docs (src/,public/).bodhi-server/: Go backend API server (api/,internal/,cmd/).nova/: Rust computer-use MCP server for native desktop interaction.lotus-next/: responsive next-generation React + Vite frontend.magpie/: standalone IM connector and Bamboo service plugin.jiandu/: agent-independent filesystem memory store and one-tool stdio MCP server.
Root files (README.md, .gitmodules) manage submodule pointers; most feature work happens inside submodules.
Key architecture docs:
bamboo/docs/design/architecture-overview.md— start here: how the broker-mediated sub-agent system deploys (broker / orchestrator / worker), how the crates are organized, and how the deployment capability works.bamboo/docs/design/remote-mailbox-broker-design.md— the standalone message broker +ask_agent/deploy_agentdesign (SHIPPED status).bamboo/docs/design/remote-actor-plan.md— remote-actor seams (P0/P1/P2): launcher / discovery / placement abstractions.
Shared Memory via Jiandu MCP
Use the Jiandu server's single memory tool; an MCP host may expose it under a
namespace such as mcp__jiandu__memory. Select behavior with its action.
Never edit Jiandu data files directly or create repository files as a memory
fallback. Bamboo may optimize recalled memory while assembling agent context;
other agents should use the same store only through Jiandu MCP.
- Recall before guessing. Build a short lexical
queryfrom the useful keywords and entities; a non-empty query defaults to three compact IDs and summaries. Usegetonly for a selected item, and usesession_readonly for continuity within the current host session or workstream. Do not request embeddings. - Write at the right layer. Use Session notes for concise temporary progress; use
durable
writeonly for a confirmed, non-derivable fact that will help a future session. Do not store secrets, raw logs, tentative conclusions, or routine task completion. - Treat Jiandu's independent data root as the only canonical durable store. Migration may seed it once; hosts must not keep a dual writer, second index, or repository-file fallback.
- Respect scope and authority. Project memory is for project-specific facts,
Global memory is only for truly cross-project facts, and Session memory stays
tied to the host
session_id. Project access comes from the MCP host; do not invent aproject_keyor move a Project fact to Global when access is absent. - Jiandu persists host-generated Dream snapshots and maintains the optional portable usage Skill. The host still owns Dream model choice, prompting, cadence, retries, and scheduling, and must explicitly install or enable the Skill; the memory tool never executes or stores a complete Skill.
- Treat recalled memory as supporting evidence and verify it against current
files and tools. If a mutation result is uncertain, verify the targeted topic
or item before retrying. Run
rebuildonly when Jiandu explicitly reports stale derived artifacts. If Jiandu is unavailable, continue from current evidence, disclose a material gap, and do not create a fallback memory file.
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.
- 8d ago Changed · +3 lines · +35 tokens per session f102d7b7af2e
- 9d ago Changed · +3 tokens per session 86bcd7f42ace
- 10d ago Changed · +27 lines · -50 tokens per session d47175a34b8c
- 18d ago Changed · -20 lines · -406 tokens per session aba981ccedd1
- 29d ago Changed · +6 lines · +340 tokens per session 5e87805de56d
- 1mo ago Changed · +6 lines · +72 tokens per session 870239c3776c
- 1mo ago Changed · -1 lines · -19 tokens per session dbe0f3bba859
- 1mo ago Changed · +7 lines · +274 tokens per session a3ec2197e1aa
- 2mo ago Changed · +8 lines · +125 tokens per session 8a89143319a6
- 2mo ago First seen · 249 lines · 3,100 tokens per session scan A 39558ca6b43d
Zenith AGENTS.md is an instructions file published in the GitHub repository bigduu/Zenith (6 stars, last pushed yesterday), licensed MIT. It adds 3,474 tokens to every session, about $0.0139 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 2026-08-31.
Zenith AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Zenith AGENTS.mdbigduu/Zenith | Instructions file | 6 | yesterday | MIT | A | 3,474 | 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 | yesterday | 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 |