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    nix-dba

    Simple Memory

    v1.1.0Memory & Context
    @nix-dba/opencode-plugin-simple-memory

    Persistent project memory tools for OpenCode

    GitHub stars

    0

    Monthly installs

    14

    6 in 7 days

    Composite scoreSCORE

    22.9

    Multi-signal model

    Last commit

    2 months ago

    2026-05-28

    Install and configure

    opencode.json

    Writes to this project's opencode.json — applies to this repository only.

    opencode.json

    {
      "$schema": "https://opencode.ai/config.json",
      "plugin": ["@nix-dba/opencode-plugin-simple-memory@1.1.0"]
    }

    opencode loads npm dependencies through its embedded runtime on startup and caches them locally — no manual global install needed.

    npm version License: MIT

    A persistent memory plugin for OpenCode that enables the AI assistant to remember context across sessions.

    Setup

    1. Add the plugin to your OpenCode config:

      {
        "$schema": "https://opencode.ai/config.json",
        "plugin": ["@knikolov/opencode-plugin-simple-memory"]
      }
      
    2. Start using memory commands in your conversations.

    Memories are stored in .opencode/memory/ as daily logfmt files. Existing logfmt files remain readable across plugin updates.

    Automatic memory loading and saving are opt-in. When enabled, the plugin can load and save context automatically:

    • Before a response, it injects a short relevant-memory block based on the latest user message.
    • When the user explicitly says “remember ...”, it saves that memory automatically.
    • It does not automatically save arbitrary conversation content.

    Updating

    [!WARNING] OpenCode does NOT auto-update plugins.

    To get the latest version, clear the cached plugin and let OpenCode reinstall it:

    # Remove the plugin from cache
    rm -rf ~/.cache/opencode/node_modules/@knikolov/opencode-plugin-simple-memory
    
    # Run OpenCode to trigger reinstall
    opencode
    

    Tools

    The plugin provides nine tools:

    Tool Description
    memory_remember Store a new memory
    memory_recall Retrieve memories by scope, type, or search query
    memory_update Update an existing memory
    memory_forget Delete a memory (with audit logging)
    memory_list List all scopes and types for discovery
    memory_export Export memories as jsonl, json, or logfmt
    memory_import Import memories from jsonl, json, or compatible logfmt
    memory_compact Rewrite memory files chronologically and remove exact duplicates
    memory_context Build a compact relevant-memory context pack

    Memory Types

    • decision - Architectural or design decisions
    • learning - Things learned during development
    • preference - User or project preferences
    • blocker - Current blockers or issues
    • context - General context information
    • pattern - Recurring patterns or conventions

    Example Usage

    User: Remember that my name is Kris
    
    AI: [calls memory_remember with type="context", scope="user", 
         content="User's name is Kris"]
        
        I've stored that your name is Kris.
    
    User: My preferred programming language is Erlang
    
    AI: [calls memory_remember with type="preference", scope="user", 
         content="Preferred programming language is Erlang"]
        
        Got it! I've noted that your preferred programming language is Erlang.
    
    User: What do you know about me?
    
    AI: [calls memory_recall with scope="user"]
        
        Here's what I know about you:
        - Your name is Kris
        - Your preferred programming language is Erlang
    
    User: Actually, I prefer Elixir now.
    
    AI: [calls memory_update with type="preference", scope="user", 
         content="Preferred programming language is Elixir"]
        
        Updated your language preference to Elixir.
    
    User: Forget my language preference
    
    AI: [calls memory_forget with type="preference", scope="user", 
         reason="User requested removal"]
        
        Done. I've removed your language preference from memory.
    

    Recall Filters

    memory_recall supports the original filters plus optional richer filters:

    • scope - filter by scope. By default this keeps the original contains-style matching.
    • type - filter by memory type.
    • query - rank by matching words across type, scope, content, and tags.
    • limit - maximum results. Query results return the best matches; non-query results return the latest memories.
    • tags - require all provided tags.
    • since / until - filter by ISO timestamp or date prefix.
    • match - scope matching mode: contains, exact, or prefix.

    Automatic Context

    Automatic context loading is disabled by default. When autoLoad is enabled, the plugin uses OpenCode chat hooks to remember the latest user message, search active memories, and inject a compact block like this into system context:

    Relevant Memory:
    - context/deploy/staging: Use materialize-deployments.cjs for staging runtime restart
    - context/tests: Run make staging-live-onboarding-e2e for staging onboarding
    

    Automatic context saving is also disabled by default. When autoSave is enabled, it is intentionally conservative and only stores explicit requests such as:

    remember that I prefer minimal diffs
    

    That request is stored as a preference memory in scope user with tag auto. Other explicit remember requests default to context/user unless they look like a decision, blocker, pattern, or preference.

    Configure the behavior through plugin options by using OpenCode's plugin tuple form. The first item is the package name and the second item is the options object passed to the plugin:

    {
      "$schema": "https://opencode.ai/config.json",
      "plugin": [
        [
          "@knikolov/opencode-plugin-simple-memory",
          {
            "autoLoad": true,
            "autoSave": true,
            "autoHookTimeoutMs": 100,
            "contextLimit": 5,
            "contextMaxChars": 1200,
            "contextMinScore": 1,
            "autoSaveScope": "user"
          }
        ]
      ]
    }
    

    Configuration options:

    Option Default Description
    autoLoad false Enables automatic relevant-memory injection before responses. The plugin uses the latest user message as the search query and appends a compact Relevant Memory: block to system context when matches exist.
    autoSave false Enables automatic saving only for explicit user requests like remember that I prefer minimal diffs. It does not save arbitrary conversation content.
    autoHookTimeoutMs 100 Maximum time each automatic hook can spend on memory work. Hooks fail open after this timeout so memory loading or saving cannot block normal responses.
    contextLimit 5 Maximum number of memories included in the automatic relevant-memory block.
    contextMaxChars 1200 Maximum character budget for the automatic relevant-memory block. Matching memories are truncated to stay within this budget.
    contextMinScore 1 when there is a query Minimum relevance score required for automatic context loading. Increase this to make injected memory stricter; set it lower to include weaker matches.
    autoSaveScope "user" Scope used for automatic explicit remember ... saves unless the inferred memory itself provides something more specific.

    To keep automatic behavior disabled while retaining manual tools, omit options entirely or set both flags to false:

    {
      "$schema": "https://opencode.ai/config.json",
      "plugin": [
        [
          "@knikolov/opencode-plugin-simple-memory",
          {
            "autoLoad": false,
            "autoSave": false
          }
        ]
      ]
    }
    

    For local development, point OpenCode at the checkout with a file:// URL and pass the same options:

    {
      "$schema": "https://opencode.ai/config.json",
      "plugin": [
        [
          "file:///absolute/path/to/opencode-plugin-simple-memory/index.ts",
          {
            "autoLoad": true,
            "autoSave": true
          }
        ]
      ]
    }
    

    OpenCode loads plugin configuration at startup. Restart OpenCode after changing configuration.

    Storage Format

    Memory files are daily logfmt files named YYYY-MM-DD.logfmt under .opencode/memory/.

    Each active memory record uses these fields:

    ts=2026-05-28T10:00:00.000Z type=context scope=api content="Remember this" issue=#51 tags=backend,current
    

    Compatibility notes:

    • Existing unquoted scope, issue, and tags records remain readable.
    • New records quote fields only when needed, except content, which is always quoted.
    • Multiline content is stored on one physical line using escaped \n sequences and is restored during recall/export.
    • Updates and deletes append audit records to .opencode/memory/deletions.logfmt.

    Maintenance

    memory_forget keeps its original behavior when called with only scope, type, and reason: it deletes all exact matches. To delete only one matching memory, pass query.

    memory_export and memory_import can move memories between projects or back up the store. jsonl is the default export/import format.

    memory_compact removes exact duplicate active records and rewrites active memory files in chronological order. Use dryRun: true to preview the change.

    Local Development

    Clone the repository and install dependencies:

    git clone https://github.com/cnicolov/opencode-plugin-simple-memory.git
    cd opencode-plugin-simple-memory
    bun install
    

    Run checks:

    bun test
    bun run typecheck
    

    Point your OpenCode config to the local checkout via a file:// URL:

    {
      "$schema": "https://opencode.ai/config.json",
      "plugin": ["file:///absolute/path/to/opencode-plugin-simple-memory"]
    }
    

    Replace /absolute/path/to/opencode-plugin-simple-memory with your actual path.