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memstate-ai

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memstate-ai

# Memstate AI Memory Management This skill provides a full-featured alternative to the Memstate MCP plugin by interacting directly with the Memstate REST API. It gives agents a persistent, structured, and versioned knowledge base with conflict detection, semantic search, and full version history. ## Core Concepts | Concept | Description | |---|---| | **Project** | Top-level container for memories (e.g., `myapp`, `backend-api`). Auto-created on first write. | | **Keypath** | Dot-separated hierarchical path (e.g., `auth.method`). Auto-prefixed with `project.{project_id}.` | | **Memory** | A single fact or markdown summary stored at a keypath with full version history. | | **Versioning** | Writing to an existing keypath supersedes the old value. History is always preserved. | | **Tombstone** | Deleting a keypath creates a tombstone version — history is never destroyed. | ## Input Formats ### Direct keypath = value assignment ``` config.port = 8080 database.engine = PostgreSQL 16 auth.method = JWT with httpOnly cookies status.deployment = production ``` ### Markdown (preferred for task summaries) ```markdown ## Architecture Decision - Database: PostgreSQL 16 - Auth: JWT with httpOnly cookies - Deploy: Docker on AWS ECS - API style: REST with OpenAPI 3.1 ``` ## Workflows ### Before Starting a Task (Recall) Always check what already exists before making decisions or modifying code. ```bash # 1. Semantic search — find relevant facts by meaning python3 {baseDir}/scripts/memstate_search.py \ --project "myapp" \ --query "how is authentication configured" # 2. Browse the full project tree (all domains and keypaths) python3 {baseDir}/scripts/memstate_get.py \ --project "myapp" # 3. Get a specific subtree with full content python3 {baseDir}/scripts/memstate_get.py \ --project "myapp" --keypath "database" --include-content ``` ### After Completing a Task (Remember) ```bash # Store a single fact (config, status, version numbers) python3 {baseDir}/scripts/memstate_set.py \ --project "myapp" \ --keypath "config.port" \ --value "8080" \ --category "fact" # Store a rich markdown summary (AI extracts keypaths automatically) python3 {baseDir}/scripts/memstate_remember.py \ --project "myapp" \ --content "## Auth Migration\n- Changed from JWT to server-side sessions\n- Added MFA via TOTP\n- Files: auth.go, middleware.go" \ --source "agent" ``` ### Manage History and Cleanup ```bash # View how a fact changed over time python3 {baseDir}/scripts/memstate_history.py \ --project "myapp" --keypath "database.engine" # Soft-delete an outdated keypath (history preserved) python3 {baseDir}/scripts/memstate_delete.py \ --project "myapp" --keypath "config.old_setting" # Soft-delete an entire project python3 {baseDir}/scripts/memstate_delete_project.py \ --project "myapp" ``` ## Script Reference ### `memstate_set.py` — Set a single keypath value Stores one fact at a specific keypath. Synchronous, immediately available. Supersedes the previous value if the keypath already exists. ```bash python3 {baseDir}/scripts/memstate_set.py \ --project PROJECT_ID \ --keypath KEYPATH \ --value VALUE \ [--category CATEGORY] # decision | fact | config | requirement | note | code | learning [--topics TAG1,TAG2] ``` **Response keys:** `action` (created|superseded), `memory_id`, `version` --- ### `memstate_remember.py` — Ingest markdown or text Preferred for task summaries, meeting notes, or any multi-fact content. The AI engine automatically extracts structured keypaths from your text. Processing is async (~15–18 s); the script polls until completion. ```bash python3 {baseDir}/scripts/memstate_remember.py \ --project PROJECT_ID \ --content "MARKDOWN_OR_TEXT" \ [--source agent|readme|docs|meeting|code] \ [--context "optional hint for extraction"] ``` **Response keys:** `status` (completed|failed), `job_id`, `memories_created` --- ### `memstate_get.py` — Browse and retrieve memories ```bash # List all projects python3 {baseDir}/scripts/memstate_get.py # Full project tree (returns domains and keypaths) python3 {baseDir}/scripts/memstate_get.py --project PROJECT_ID # Subtree at a keypath python3 {baseDir}/scripts/memstate_get.py \ --project PROJECT_ID --keypath KEYPATH [--include-content] [--at-revision N] # Single memory by UUID python3 {baseDir}/scripts/memstate_get.py --memory-id UUID ``` **Response keys (project tree):** `domains`, `total_memories` **Response keys (subtree):** `memories`, `total_count` **Response keys (list projects):** `projects` --- ### `memstate_search.py` — Semantic search Find memories by meaning when you don't know the exact keypath. ```bash python3 {baseDir}/scripts/memstate_search.py \ --query "NATURAL_LANGUAGE_QUERY" \ [--project PROJECT_ID] \ [--limit N] # default 20, max 100 ``` **Response keys:** `results` (array), `total_found`, `query` --- ### `memstate_history.py` — Version history View all versions of a keypath or memory chain. ```bash python3 {baseDir}/scripts/memstate_history.py \ --project PROJECT_ID --keypath KEYPATH # or python3 {baseDir}/scripts/memstate_history.py \ --memory-id UUID ``` **Response keys:** `versions` (array), `total_versions` --- ### `memstate_delete.py` — Soft-delete a keypath Creates a tombstone version. History is always preserved. ```bash python3 {baseDir}/scripts/memstate_delete.py \ --project PROJECT_ID \ --keypath KEYPATH \ [--recursive] # delete entire subtree ``` **Response keys:** `deleted_count`, `deleted_keypaths` --- ### `memstate_delete_project.py` — Soft-delete a project ```bash python3 {baseDir}/scripts/memstate_delete_project.py \ --project PROJECT_ID ``` **Response keys:** `project_id`, `deleted_count` --- ## Best Practices 1. **One keypath = one fact.** Use `api.style` not `api`. Be specific. 2. **Update, don't duplicate.** When a fact changes, call `memstate_set.py` with the SAME keypath and the NEW value. Do not create a new keypath. 3. **Trust `is_latest: true`.** Search results may show multiple versions. Only trust results where `is_latest` is `true`. 4. **Use Markdown for summaries.** `memstate_remember.py` excels at parsing Markdown lists, headings, and key-value pairs into structured keypaths. 5. **Search before browsing.** `memstate_search.py` is faster than browsing the tree when you know what you're looking for. 6. **Use categories.** Setting `--category decision` on architecture choices makes them easier to filter later. ## Authentication Set the `MEMSTATE_API_KEY` environment variable before running any script: ```bash export MEMSTATE_API_KEY="your_api_key_here" ``` Get your API key at [https://memstate.ai/dashboard](https://memstate.ai/dashboard). ## Resources - **Documentation:** [https://memstate.ai/docs](https://memstate.ai/docs) - **MCP Plugin (alternative):** [https://github.com/memstate-ai/memstate-mcp](https://github.com/memstate-ai/memstate-mcp) - **Benchmark:** [https://github.com/memstate-ai/memstate-benchmark](https://github.com/memstate-ai/memstate-benchmark)

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通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 memstate-ai-1776065229 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 memstate-ai-1776065229 技能

通过命令行安装

skillhub install memstate-ai-1776065229

下载 Zip 包

⬇ 下载 memstate-ai v1.2.4

文件大小: 10.34 KB | 发布时间: 2026-4-14 14:44

v1.2.4 最新 2026-4-14 14:44
Bundle Python scripts with skill package; add python3 to requires.bins; fix metadata to openclaw format

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