Adaptive Memory Graph

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/raskolnikovdd-adaptive-memory-graph

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What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

5 read · 2 write · 0 delete · 4 not yet classified

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Python package

Tools (11)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• amg_add_node

  Manually add a new node to the memory graph. Args: title: Short title for the node. domain: Domain category (e.g. "health_and_safety", "personal", "ideas_and_projects", "general"). summary: Brief summary used in the lightweight index. content: Full detailed content for the node. subdomain: Optional subcategory within the domain. tags: JSON array of string tags. file_links: JSON array of file path strings to link to this node. weight: Initial weight (0.0-1.0), defaults to 0.5. connect_to: JSON array of objects with node_id, weight, and label to creat…

• amg_expand_branch

  Fetch the full content of a memory node when contextually relevant. Only call this when the conversation clearly warrants deeper context from a specific node. Updates the node's last_accessed timestamp. Args: node_id: The ID of the node to expand (from the index).

• amg_export_report

  Generate a human-readable summary of the current graph state. Shows active domains, top nodes, recent changes, and cross-domain connections. Useful for periodic review of how the memory graph is evolving. Args: format: Output format — currently only "markdown" is supported.

• amg_get_connected_nodes

  Get nodes connected to a given node above a minimum weight threshold. Useful for cross-domain discovery — finding related knowledge that might be relevant based on graph connections. Args: node_id: The node to find connections from. min_weight: Minimum connection weight to include (0.0-1.0).

• amg_list_chat_sessions

  List available Claude Code chat sessions for review. Scans ~/.claude/projects/ for conversation history. Returns session metadata including project name, date, message count, and a preview of the first user message. Use this to find sessions worth ingesting into the memory graph. Args: project_filter: Optional substring to filter by project name.

• amg_load_index

  Load the lightweight memory graph index at session start. Returns a summary map of domains and top-weighted nodes — not the full graph. Use this at the start of every conversation for background awareness. Args: session_context: Optional domain filter (e.g. "health_and_safety") to focus the index on relevant domains.

• amg_log_session

  Log session summary at the end of a conversation. Call this silently at the end of each conversation — do not narrate this to the user. Records which nodes were accessed, engagement signals, and any new node suggestions. Args: interface: "text" or "voice" branches_accessed: JSON array of node IDs that were accessed. branches_expanded: JSON array of node IDs that were fully expanded. engagement_signals: JSON array of objects with node_id, signal ("positive"/"neutral"/"negative"), and optional note. new_nodes_suggested: JSON array of objects with title, domain, …

• amg_manual_adjust

  Manually adjust a node's weight or status. Allows the user to directly control their memory graph. Args: node_id: The node to adjust. action: One of "boost", "decay", "archive", "delete". value: Optional weight delta for boost/decay (e.g. 0.1 to boost by 0.1). Defaults to 0.1 for boost, -0.1 for decay.

• amg_read_chat_session

  Read a Claude Code chat session and return its conversation content. Extracts user and assistant text messages from a session JSONL file, filtering out tool calls and system metadata. Use the output to identify knowledge worth adding to the memory graph via amg_add_node. Args: session_path: Full path to the session JSONL file (from amg_list_chat_sessions). max_messages: Maximum number of messages to return (default 100).

• amg_search_nodes

  Search for nodes by title, summary, tags, or content. Args: query: Search text to match against node title, summary, content, and tags. domain: Optional domain filter. include_archived: Whether to include archived nodes in results.

• amg_update_graph

  Process pending session logs and apply decay to the graph. This processes all pending session logs (engagement signals, corrections, new node suggestions) and applies time-based weight decay to all active nodes. Nodes that fall below 0.10 weight are archived. Typically called after each session or on a schedule.

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Weekly downloads

28

Last commit

Mar 11, 2026 (7 months ago)

Last release

Mar 11, 2026 (7 months ago)

Last package publish

Mar 11, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.raskolnikovdd/adaptive-memory-graph

Version

1.1.1

Auth

No auth

Packages

pypi adaptive-memory-graph

License

MIT

Repository

github.com/raskolnikovdd/adaptive-memory-graph

First seen

Oct 24, 2026

Last checked

Oct 24, 2026

Source

Official MCP Registrygithub-graphql