Skip to main content
Glama
726,102 tools. Updated 2026-10-30 20:27

"memory" matching MCP tools:

  • Save, search, and manage long-term memories across conversations. Set preferences, facts, and skills; recall them later by topic.
    MIT
  • Persist and retrieve semantic memory across sessions. Supports storing key-value entries, appending fragments, editing sections, and semantic search.
    MIT
  • Manage and retrieve stored AI-agent memories: search, list, get by rid, archive, restore, update importance, submit relevance feedback, and access current chain-head or history.
    MIT
  • Legacy dispatcher for backward compatibility; use add/search/list/update/delete/export/import/archive/restore/consolidate/stats to manage persistent AI context.
    Apache 2.0
    Destructive
  • List review-memory entries to spot dead pricing via lastApplied timestamps and identify repeated rules for promotion to glob memory or profile rules.
    AGPL 3.0
  • Store and manage persistent facts across sessions. Add, view, update, or remove structured memories organized by sections like work, personal, and preferences.
    MIT

Matching MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Enables MCP-capable coding agents to semantically search, store, and inspect a single local, cross-tool index of session histories and project docs. Agents can retrieve what other tools and prior sessions already discovered.
    3
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Gives every AI agent on a machine a shared, local-first long-term memory: 16 tools to save, search, edit and organize structured notes in one SQLite file, with attribution per client. Runs over stdio or localhost HTTP, so Claude Code, omp and any other MCP client recall the same facts, decisions and entities.
    16
    MIT

Matching MCP Connectors

  • memoryOAuth

    Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.

  • Persistent agent memory paid per call via x402 USDC. Your wallet is your private memory namespace.

  • Store, search, read, and update shared AI coding context with conflict arbitration, enabling tools like Codex, Cursor, and Claude Code to reuse structured notes across sessions.
    Apache 2.0
  • Store and retrieve temporary key-value data during development workflows, supporting set, get, list, delete, search, and clear operations with tag-based organization.
    MIT
  • Manages conversation memory through hierarchical storage, adaptive retrieval, compression, knowledge graphing, inspection, and curation to maintain context integrity in long AI dialogues.
    MIT
  • Retrieve Linux RAM and swap usage to check system health, monitor resource consumption, and diagnose pressure on homelab hosts.
    MIT
  • Inspect JS heap size, DOM node counts, and event listeners, or capture DevTools-compatible heap snapshots that summarize large object classes and detached DOM nodes.
    Apache 2.0
  • Store project notes, recall context, search memories with hybrid semantic and keyword retrieval, cluster related items, deduplicate, archive old memories, and set permanent rules for persistent session intelligence.
    MIT
  • Persist AI discoveries with save, recall, and search actions. Organize insights by category and retrieve by task or query.
    MIT
  • Manage persistent shopping memory: read or write T1D config, preferences, and notes. Use get, set, or note actions to retrieve or update saved information.
    -
  • Persistent memory storage — docs, runbooks, specs, ADRs, RFCs, decisions, lessons, preferences, tasks, todos, knowledge nodes, transcripts. NOT for codebase/file search (use `search`). Finding a doc, runbook, spec, ADR, or decision? Use this tool, NOT `find`, `ls`, `grep`, or filesystem search: ContextStream docs are not on disk. Start with memory(action="search", query="…") (memory nodes and relevant docs together), then memory(action="list_docs", query="…") + get_doc (ID or natural-language title query), memory(action="decisions", query="…"), or session(action="recall", query="…") for past sessions. Elsewhere: plans → session(action="capture_plan"); tickets/handoffs → entity; lessons → session; bundles → capsule. create_task is a lightweight todo, not a ticket (pass plan_id + plan_step_id for plan tasks). Actions include create_decision, create_node, create_event, create_task, create_todo, create_diagram, create_doc, list_transcripts. Full action reference: the `action` parameter.
    ConnectorOAuth
  • Agent memory system: create, list, search, and delete persistent memories. Memories persist across sessions and can be searched by vector similarity. Requires API key.
    ConnectorNo auth
  • Save a memory in CortexPlus. CortexPlus decides whether it is a note, task, or reminder and extracts the client.
    ConnectorNo auth
  • Agent memory: save, get, search, list and delete notes that persist between sessions, private to the wallet that pays. Up to 2,000 keys per wallet, 16,000 characters per value. Pay with an EVM wallet. Costs $0.003 USDC per call (x402).
    ConnectorNo auth
  • Report RAM and swap use from /proc/meminfo, with summary or raw details. Returns text tables or structured JSON for monitoring and diagnostics.
    Apache 2.0