EverOS is a Python library and local-first memory runtime that gives AI agents a portable memory layer across apps, devices, and workflows. It stores conversations, files, and agent activity as readable Markdown while maintaining local indexes for retrieval and reuse. The catalogue add-ons provide commands, skills, hooks, and settings for using EverOS with coding agents.
Borrowing it
Nothing to install: this file belongs to EverMind-AI/EverOS. 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/EverMind-AI/EverOS/main/CLAUDE.mdgit clone --depth 1 https://github.com/EverMind-AI/EverOSWrote 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/evermind-ai/everos/claude-md)<a href="https://agentmods.dev/instructions/evermind-ai/everos/claude-md"><img src="https://agentmods.dev/badge/instructions/evermind-ai/everos/claude-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/evermind-ai/everos/claude-md"><img src="https://agentmods.dev/badge/instructions/evermind-ai/everos/claude-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 | $0.01132 | $0.01132 |
| Opus 5.5 | $0.00453 | $0.00453 |
| Sonnet 5.5 | $0.00226 | $0.00226 |
| Haiku 4.5 | $0.00113 | $0.00113 |
Grade A, and why
EverOS CLAUDE.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 6d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EverOS — md-first Memory Extraction Framework
This is a Python framework for md-first memory extraction (lightweight; single-user or small-team).
Quick commands
uv sync # install deps
make lint # ruff (check + format-check) + import-linter
make format # auto-fix formatting
make test # pytest tests/unit
make integration # pytest tests/integration
make ci # full CI: lint + test + integration
Architecture
DDD layers with domain-owned ports, plus cross-cutting:
entrypoints → service → memory ← infra
cross-cutting, usable by every layer: core / component / config
entrypoints/— cli + api (incl. HTTP middleware) + tui (protocol translation only)service/—bootstrap.py(the one assembler) +MemoryService/KnowledgeService/OpsServicefacadesmemory/— domain (models + ports + extract + search + strategies + reflection + custom_instructions)infra/— adapters implementingmemory.ports(markdown + sqlite + lancedb + milvus) + the cascade and OME enginescomponent/— injectable providers (llm / embedding / rerank / parser / tokenizer)core/— runtime base (errors / observability / context / utils.datetime)config/— configuration data (Settings + default.toml + custom_instructions)
Dependency rule: entrypoints → service → memory ← infra; entry points import only service (plus core / config). Enforced by import-linter.
Detailed: docs/architecture.md.
Engineering practices
- Coding rules auto-loaded from .claude/rules/ (10 rules; the three always-loaded ones cover architecture / code-style / language-policy, the rest are path-scoped and load when Claude Code opens a matching file)
- Workflows as slash commands in .claude/skills/ —
/commit,/new-branch,/pr,/release - Project-level decisions in docs/ (low-frequency, human-judgment-required)
- Language policy: the project targets a global audience — docs and code are English; CJK appears only in test fixtures and locale-suffixed mirrors. Scanned by
make check-cjk. - Datetime discipline: never call
datetime.now()/time.time()directly — useeveros.core.utils.datetime. Enforced bymake check-datetime.
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.
- 6d ago Changed · -1 lines · +76 tokens per session 39d5df0f2058
- 2mo ago First seen · 93 lines · 1,056 tokens per session scan A a8518e7fedc1
EverOS CLAUDE.md is an instructions file published in the GitHub repository EverMind-AI/EverOS (13,824 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,132 tokens to every session, about $0.0045 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.
EverOS CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| EverOS CLAUDE.mdEverMind-AI/EverOS | Instructions file | 14k | yesterday | Apache-2.0 | A | 1,132 | Claude Code |
| 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 |