routaticllms.txtproxy
routatic/proxy/llms.txt
Running ```bash make build # Build binary to bin/routatic-proxy make run # Run without building make test # Run tests with race detector make lint # go vet + test make install # Build and install
llms.txt examples
How real projects summarise themselves for language models.
Best matches · from page 4Worked for most · soon
routaticllms.txt
asheshgoplanillms.txtagent-deck
asheshgoplani/agent-deck/llms-full.txt
skip it with `--skip-tmux-config`. ## Development ```bash make build # Build make test # Test make lint # Lint ``` See [CONTRIBUTING.md](CONTRIBUTING.md) for details. ## Star History If Agent Deck saves you time
agentic-communityllms.txtmcp-gateway-registry
agentic-community/mcp-gateway-registry/docs/llms.txt
terraform/` | **Infrastructure as Code** - AWS deployment automation | `aws-ecs/` (ECS Fargate), `modules/` (reusable modules) | | `tests/` | **Test Suite** - pytest unit, integration, E2E tests | `conftest.py`, `unit/`, `integration/` | | `docs/` | **Documentation** - Architecture, guides, design
reticlehqllms.txtreticle
reticlehq/reticle/llms.txt
source mapping:** Create React App, SvelteKit, Astro, standalone Svelte. Every tool works — refs, roles, test-ids, network, console, storage, state, assertions, verdicts — but `reticle_look { action: "find" }` cannot say *which
CodeAbrallms.txtiai-personal-memory-engine
CodeAbra/iai-personal-memory-engine/llms.txt
after contradiction: 1.000. Historical-verbatim hit@10: 1.000. Flat-cosine baseline for the same test: ~0.71. Harness: `python -m bench.contradiction_longitudinal`. - LongMemEval-S, 500 questions, raw retrieval
promptise-comllms.txtFoundry
promptise-com/Foundry/llms-full.txt
/path/to/dir", ), } ``` --- ## Memory — 3 Providers ```python from promptise.memory import InMemoryProvider, ChromaProvider, Mem0Provider # Testing / prototyping memory = InMemoryProvider(max_entries=200) # Persistent local vector search memory = ChromaProvider(persist_directory="./memory", collection_name="agent
promptise-comllms.txtFoundry
promptise-com/Foundry/llms.txt
assembled paths), **MCP Server SDK** (FastAPI-style production servers with auth, middleware, queues, versioning, testing), **Agent Runtime** (the operating system for autonomous agents — triggers, journals, governance, secrets, meta-tools, REST
santiferllms.txtcv-santiago
santifer/cv-santiago/public/llms.txt
Multiple sessions to drive efficiency and co-develop business workflows. ### Everis/NTT DATA (2007-2009) - Test Coordinator & Software Analyst Coordinated multi-vendor healthcare product testing: managed functional test suites
borgheillms.txtClaude-Skills / site
borghei/Claude-Skills/site/llms.txt
headcount, hire/contract/defer scenarios, and... - [Internal Comms](https://borghei.github.io/Claude-Skills/skills/business-operations/internal-comms.html): Plan, sequence, and pressure-test internal announcements before they send. Use when announcing a reorg, policy, or... - [Knowledge Ops](https://borghei.github.io
Microsoftllms.txtlage
microsoft/lage/llms.txt
primary tool developed here. It's designed to efficiently run tasks (like building, testing, linting) across the packages in the monorepo, understanding the dependencies between them. Key configuration files
bioMate-AIllms.txtbiomate-bioconductor-kb
bioMate-AI/biomate-bioconductor-kb/llms.txt
qvalue](skills/general/qvalue/SKILL.md): This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local FDR values
AVIDS2llms.txtmemorix
AVIDS2/memorix/llms-full.txt
explicit local `user + portable` knowledge with manual/user evidence. Project, team, Git, code, session, workflow, test, and observation evidence always remains project-bound. Keyword retrieval is primary; an optional semantic fallback
Cloudflarellms.txtchanfana
cloudflare/chanfana/llms.txt
help AI tools understand the library: - `AGENTS.md` — Comprehensive development guide: architecture, patterns, migration notes, testing - `skills/write-endpoints/SKILL.md` — Step-by-step coding skill for building endpoints with chanfana - `docs/` — Full user documentation
qf-studiollms.txtpilot
qf-studio/pilot/llms.txt
tickets into pull requests. Label a GitHub issue with "pilot" and Pilot handles implementation, testing, and PR creation. ## Quick Integration **Trigger Pilot**: Create a GitHub issue with the `pilot` label
h5i-devllms.txth5i
h5i-dev/h5i/docs/llms.txt
every team. It is an open-source toolkit that lets your AI agent test your web application from an attacker's perspective, so you do not need
genomoncologyllms.txtbiomcp
genomoncology/biomcp/docs/llms-full.txt
biomcp.org/sources/gnomad/): Access details and query guidance for the gnomAD data source. - [NCBI Genetic Testing Registry](https://biomcp.org/sources/gtr/): Access details and query guidance for the NCBI Genetic Testing Registry
manojmallickllms.txtsigmap
manojmallick/sigmap/llms-full.txt
every file impacted by changing sigmap --impact --json Impact as JSON {changed, direct, transitive, tests, routes} sigmap --impact --depth BFS depth limit (default 3, 0=unlimited) sigmap --callers Method-level
ojuschugh1llms.txtsqz
ojuschugh1/sqz/llms.txt
client config - [Quality benchmark](https://github.com/ojuschugh1/sqz/blob/main/docs/quality-benchmark.md): compression ratio vs information preservation, regression-tested - [Context rot vs context compression](https://github.com/ojuschugh1/sqz/blob/main/docs/context-rot.md): proactive vs reactive context management - [Choosing a context
emiliaprotocolllms.txtemilia-protocol
emiliaprotocol/emilia-protocol/public/llms-full.txt
current coverage or operation of a central global network. Generated from repository evidence. Test-count snapshot: 2026-09-26T08:54:11.807Z. Input digest: sha256:f60c0ade5adc59affe4647ebd7b17e40f5bcf4ad7b29574144533fae843d9046. Do not edit
emiliaprotocolllms.txtemilia-protocol
emiliaprotocol/emilia-protocol/public/llms.txt
central global network. This is a generated discovery index following the llms.txt proposal. Test-count snapshot: 2026-09-26T08:54:11.807Z; main refreshes the test counts after each
About llms.txt
What is llms.txt?
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.
What's llms-full.txt?
The same idea with the content included, so an agent can read the documentation in one request.
Who reads it?
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
How do I write one?
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.