Skip to main content
Glama

Related Servers

Alternatives to Brain OS

  • A
    license
    B
    quality
    A
    maintenance
    Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md
    17
    7,603 PyPI
    4,114
    AGPL 3.0
  • A
    license
    A
    quality
    C
    maintenance
    Self-hosted Mem0 MCP server integrating Qdrant, Neo4j, and Ollama for semantic memory search, graph entity relationships, and memory management via OpenMemory API.
    6
    4
    MIT

Related Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to maintain project continuity through a file-based state hub with tasks, phases, and handoff snapshots. Provides MCP tools for reading and updating project state, with gatekeeping enforced via real-state evaluation and per-tool authorization.
    2
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides operational continuity for AI coding agents, preserving task state, decisions, checkpoints, and project context across sessions and model switches via MCP.
    1
    Apache 2.0
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables persistent storage and retrieval of decisions, settings, and operational rules across chat sessions, maintaining context continuity and decision consistency for long-term development projects through structured memory management.
    -
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables agents to maintain persistent project context locally, with source-backed memory and structured handoffs for seamless handover between interchangeable agents.
    Apache 2.0

TDQS

A4.1/5.0

Scored across 23 tools

Disambiguation4/5

The descriptions explicitly differentiate overlapping tools, such as audit_log vs semantic_recall for time-ordered vs topic search, and decision_check vs decision_review vs decision_log for different decision operations. However, several read-only state tools (operational_state_check, entity_read, project_evidence_scan) and multiple decision/memory check tools could still cause momentary confusion for an agent without careful reading.

Naming Consistency5/5

All tools use snake_case with a consistent domain-first convention (e.g., decision_check, entity_read, plan_advance, memory_commit). Minor deviations like wrap_auto and action_guard still follow the same snake_case style, so there is no mixed convention.

Tool Count3/5

At 23 tools, the set is on the heavy side for the server's purpose, though each tool targets a distinct operation within memory, decisions, plans, wrap, risk, and audit. The count is borderline per calibration and could likely be consolidated (e.g., plan and decision families) without losing capability.

Completeness4/5

The surface covers a wide lifecycle: decisions (log, check, review, refresh), entities (read, update), plans (set, add, advance, read), memory (check, commit, recall, audit), wrap, risk assessment, and evidence scanning. Minor gaps remain, such as no explicit entity/plan deletion or a direct list-all-decisions tool, but agents can work around these via entity_read and decision_review.

Maintenance

ActivityMaintained
ResponsivenessUnresponsive