OpenKB is a command-line system that turns documents and other sources into a structured, linked wiki-style knowledge base using large language models. It is for organizing and retrieving information from long, varied documents, while the catalogue entries provide skills and instructions for working with it.
Borrowing it
Nothing to install: this file belongs to VectifyAI/OpenKB. 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/VectifyAI/OpenKB/main/AGENTS.mdgit clone --depth 1 https://github.com/VectifyAI/OpenKBWrote 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/vectifyai/openkb/agents-md)<a href="https://agentmods.dev/instructions/vectifyai/openkb/agents-md"><img src="https://agentmods.dev/badge/instructions/vectifyai/openkb/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/vectifyai/openkb/agents-md"><img src="https://agentmods.dev/badge/instructions/vectifyai/openkb/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 | $0.00681 | $0.00681 |
| Opus 5.5 | $0.00272 | $0.00272 |
| Sonnet 5.5 | $0.00136 | $0.00136 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
OpenKB 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — OpenKB map for coding agents
OpenKB compiles raw documents into an interlinked wiki knowledge base using LLMs (vectorless retrieval via PageIndex). This repo is developed agent-first: humans steer, agents execute. Optimize changes for agent legibility.
Read next
docs/golden-principles.md— mechanical rules to follow (enforced where possible).docs/internal/superpowers/{specs,plans}/— design history & plans (maintainer-local, not in git).README.md— user-facing overview and commands.
Dev commands
- Install:
pip install -e ".[dev]"(oruv sync --extra dev— plainuv syncskips the dev tools) - Run CLI:
openkb <command>(entry point:openkb.cli:cli) - Test:
pytest - Lint/format/types:
ruff check .·ruff format .·mypy openkb
Module map (openkb/)
cli.py— Click CLI entry point & command wiring (large; see tech-debt).config.py— config loading/validation (LiteLLM passthrough, env).converter.py— document → markdown conversion (markitdown).url_ingest.py— fetch & ingest URLs (trafilatura).images.py— figure/image extraction & handling.indexer.py— PageIndex tree indexing for long docs.mutation.py— crash-safe, serial KB mutations.locks.py— atomic writes / file locking (atomic_write_text, portalocker).state.py— run/session state tracking.frontmatter.py— YAML frontmatter round-trip (OKF).schema.py— page/content schema constants & helpers.lint.py— structural wiki lint (broken links, orphans, index sync).tree_renderer.py,visualize.py,watcher.py— rendering / graph / file watch.agent/compiler.py— LLM wiki compiler (large; see tech-debt).agent/linter.py— semantic (LLM) wiki lint (contradictions, gaps, staleness).agent/chat.py,agent/chat_session.py— chat over the wiki (chat.py large).agent/query.py— one-off query generator.agent/tools.py— shared wiki read/write tool functions used by query/linter (and by chat indirectly viaquery.build_chat_agent).agent/skills.py,agent/skill_runner.py,skill/— Skill Factory.deck/,templates/,prompts/— deck output, templates, prompt assets.
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 · 45 lines · 681 tokens per session scan A 422008697557
OpenKB AGENTS.md is an instructions file published in the GitHub repository VectifyAI/OpenKB (4,852 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 681 tokens to every session, about $0.0027 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.
OpenKB AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| OpenKB AGENTS.mdVectifyAI/OpenKB | Instructions file | 4.9k | 3mo ago | Apache-2.0 | A | 681 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |