{"data":{"slug":"evermind-ai-everos","name":"EverOS","tagline":"One portable memory layer for every AI agent","github_url":"https://github.com/EverMind-AI/EverOS","owner":"EverMind-AI","repo":"EverOS","owner_avatar_url":"https://avatars.githubusercontent.com/u/229275294?v=4","primary_language":"Python","stars":12114,"forks":891,"topics":["agent-memory","agentic-ai","ai","chats","clawdbot","clawdbot-skill","deepseek-harness","dsh","dsh-plugin","llm","long-term-memory","mcp","memory","memory-management","python3","rag","skills"],"archived":false,"github_pushed_at":"2026-08-17T11:51:02+00:00","maintenance_label":"Very active","stars_delta_30d":849,"url":"https://www.graphcanon.com/tools/evermind-ai-everos","markdown_url":"https://www.graphcanon.com/tools/evermind-ai-everos.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/evermind-ai-everos","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=evermind-ai-everos","description":"One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.","homepage_url":"https://evermind.ai/everos","license":"Apache-2.0","open_issues":72,"watchers":108,"ai_summary":"EverOS provides a portable and user-owned memory management solution for AI agents that supports Markdown format, enabling seamless cross-app memory evolution.","readme_excerpt":"## Quick Start\n\n> One OpenRouter API key is enough to start EverOS, write durable memories,\n> and retrieve them with keyword search.\n\n---\n\n### 1. Install\n\n```bash\nuv pip install everos\n\n---\n\n### License\n\n[Apache License 2.0](LICENSE) — see [NOTICE](NOTICE) for third-party attributions.","github_created_at":"2025-10-28T15:09:32+00:00","created_at":"2026-07-07T17:37:09.628153+00:00","updated_at":"2026-08-18T12:00:53.43529+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"}],"tags":[{"slug":"agent-memory","name":"agent-memory"},{"slug":"local-first","name":"local-first"},{"slug":"long-term-memory","name":"long-term-memory"},{"slug":"markdown-native","name":"markdown-native"},{"slug":"memory-management","name":"memory-management"},{"slug":"python3","name":"python3"},{"slug":"rag","name":"rag"},{"slug":"skills","name":"skills"}],"trust":{"provenance":{"is_fork":false,"github_id":1085086903,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-18T12:00:52.653Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":11,"days_since_push":1,"last_release_at":"2026-08-07T11:53:15Z","stars_delta_30d":849,"open_issues_delta_30d":16},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-08-02T04:00:27.514Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-18T12:00:53.148Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-08-18T12:00:53.148Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-18T12:00:53.148Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-18T12:00:53.148Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you require a user-owned memory layer that allows for seamless cross-app integration and evolution using Markdown notes.","If your AI agent needs a self-evolving memory infrastructure that operates locally-first with broad compatibility across different apps and workflows.","To manage long-term memory in an environment where Markdown format is preferred for笔记存储和演化。","如果你的AI代理需要一个本地优先、用户拥有且自我演化的记忆基础设施，可以在不同的应用程序和工作流程之间平滑过渡。"],"when_not_to_use":["If your project requires a non-markdown-based memory layer, since EverOS is specifically designed for Markdown-format memories and may not integrate well with other formats.","When the requirement is strictly cloud-centric without local-first capabilities; EverOS focuses on being local-first before operating across applications."],"source":"enrich:decision_facts","observed_at":"2026-07-11T15:42:22.352Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"EverOS is designed as a portable and user-owned memory management solution that supports Markdown format, facilitating easy cross-app memory transfer and evolution."}]}}