ouroboros
Q00/ouroboros/llms.txt
that rewrites its own architecture -- a different project with a different design, no shared code. ## Core Concepts - Seed Spec: An immutable YAML specification generated from interview results or already-agreed
How real projects summarise themselves for language models.
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Q00/ouroboros/llms.txt
that rewrites its own architecture -- a different project with a different design, no shared code. ## Core Concepts - Seed Spec: An immutable YAML specification generated from interview results or already-agreed
HelixDB/helix-db/docs/llms-full.txt
same `POST /v2/query` interface as Helix Cloud, which makes it the default development target: code written against it works unchanged in Cloud. ## Embedded Embedded clients open the engine inside your
No other project uses it yet
HelixDB/helix-db/docs/llms.txt
contract — Page type: Reference - [Query error reference](https://docs.helix-db.com/database/helix-db/query-guides/error-handling): Branch on stable error codes, apply retry rules, and look up every HelixDB query error — Page type: Reference - [Troubleshoot HelixDB
No other project uses it yet
AgentOps-AI/agentops/llms.txt
Requirements**: - Pass all tests - Maintain or improve code coverage - Include relevant documentation - Update CHANGELOG.md if applicable 4. **Review Process**: - At least one approval required - Address all review comments - Maintain
Steady11 mentions in 2 weeks
No other project uses it yet
OpenBMB/UltraRAG/docs/llms.txt
contents. It is designed to be easily consumable by AI systems for analysis, code review, or other automated processes. File Format: ------------ The content is organized as follows: 1. This summary
No other project uses it yet
eugeniughelbur/obsidian-second-brain/llms.txt
ships on Claude Code only; its agenda / meeting / schedule / reconcile modes consolidate the four former standalone calendar commands.) **Thinking (14)** - synthesis, decisions, learning, reviews, panels, discovery, brainstorming: obsidian-brainstorm, obsidian
shakacode/react_on_rails/llms-full.txt
# React on Rails - Full Machine-Readable Reference This file expands `./llms.txt` with stable guidance
No other project uses it yet
nibzard/awesome-agentic-patterns/llms.txt
issues, and self-correct before finalizing results. ### Code-Then-Execute Separates code generation from execution phases, enabling review and validation before running generated code. ### Human-in-Loop Approval Requires human
No other project uses it yet
langwatch/langwatch/docs/llms-full.txt
# LangWatch For agents: if anything in these docs is wrong, confusing, or fails when
No other project uses it yet
langwatch/langwatch/docs/llms.txt
Integration](https://langwatch.ai/docs/prompt-management/features/essential/github-integration.md): Sync prompts with GitHub using LangWatch to maintain version history, enable review workflows, and support agent evaluations. - [Tags](https://langwatch.ai/docs/prompt-management/features/essential/tags.md): Use tags to manage prompt deployment
No other project uses it yet
chonkie-inc/chonkie/llms.txt
## 🦛 Chonkie Docs 📚 > "Ugh, writing docs is such a pain — I'm going to make
No other project uses it yet
dagucloud/dagu/llms.txt
committed path as `${steps. .outputs. }`. - Do not read attempt-only `${step_id.stdout}`, `${step_id.stderr}`, or `${step_id.exit_code}` from potentially reusable producers. This also applies to `${step_id.output. }` and `${step_id.outputs. }`, including their whole-value
dagu-org/dagu/llms.txt
committed path as `${steps. .outputs. }`. - Do not read attempt-only `${step_id.stdout}`, `${step_id.stderr}`, or `${step_id.exit_code}` from potentially reusable producers. This also applies to `${step_id.output. }` and `${step_id.outputs. }`, including their whole-value
1 project uses a version of this
ln-dev7/circle/llms.txt
issues` = Assigned/Created/Subscribed/Activity tabs, insights + breakdown panels). Settings subpages: `/{orgId}/settings/{preferences|profile|notifications|code-and-reviews|security|connected-accounts|agent-personalization|ai|issue-labels|issue-templates|project-statuses|integrations}`, `/{orgId
Steady5 mentions in 2 weeks
No other project uses it yet
flypythoncom/python/llms.txt
Chinese. - `templates/TASK_CONTRACT.md`: Scoped specification template for coding agents. - `templates/IMPLEMENTATION_PLAN.md`: Implementation plan template. - `templates/CODE_REVIEW.md`: Code change review template. - `templates/VERIFICATION.md`: Evidence record for reproducible tests. ## Official Portal - Official Website: https://flypython.com - Website
No other project uses it yet
steveseguin/vdo.ninja/llms.txt
models, with practical basics and links to authoritative documentation and public source code. Links and project information reviewed on 2026-09-09. Feature availability depends on the deployed version, browser
No other project uses it yet
langroid/langroid/llms.txt
important context. It is designed to be easily consumable by AI systems for analysis, code review, or other automated processes. The content is organized as follows: 1. This summary section
No other project uses it yet
datamodel-code-generator/datamodel-code-generator/docs/llms-full.txt
with the project's formatting and lint policy. Install it with `pip install 'datamodel-code-generator[ruff]'`. - **No Ruff, Black, or isort, or generation speed is the priority:** use `--formatters
koxudaxi/datamodel-code-generator/docs/llms-full.txt
with the project's formatting and lint policy. Install it with `pip install 'datamodel-code-generator[ruff]'`. - **No Ruff, Black, or isort, or generation speed is the priority:** use `--formatters
No other project uses it yet
cosmicstack-labs/mercury-agent/docs/llms-full.txt
shell, a code editor and a browser. Cognition also offers [Devin Desktop](https://devin.ai/desktop) and a [Devin CLI](https://devin.ai/cli), and ships [Devin Review](https://devin.ai/review),
No other project uses it yet
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.