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Related Servers

Alternatives to ZenBrain

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables any MCP client (zcode, Claude Code, Cursor) to give its model bi-temporal long-term memory, auditable evidence-cited retrieval, LLM-assisted document extraction, and deterministic A* skill planning with precondition/effect verification. All four capabilities share one portable SQLite store and can be mounted independently on demand.
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Gives every AI agent a shared, persistent memory by ingesting Obsidian vaults, code, transcripts, bookmarks and terminal sessions into a three-tier SQLite FTS5 store, then serving token-optimized hybrid retrieval, classification, promotion and cross-source synthesis over MCP and REST. This lets multiple agents read from and write to one compounding brain so each session starts with better context than the last.
      14 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents and MCP clients to store, retrieve, and manage bi-temporal, graph-aware facts in an embedded SQLite memory engine with token-budgeted recall and contradiction tracking.
      6
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to store and recall durable facts, decisions, and lessons over MCP using hybrid semantic and keyword search, typed memories, graph relations, sessions, and time-travel queries. Runs locally with no server process or API key, persisting everything to files that both agents and a CLI can share.
      14 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Persistent long-term memory for MCP clients. Store and recall semantic facts, episodic events, and task state with vector-based relevance search. Write what matters, retrieve what's needed — memory that persists across sessions and agents, backed by a local SQLite store with optional embeddings for meaning-based lookup. Simple file-based storage, no external services required.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      A local memory engine for AI agents. Stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle, and builds a personal knowledge graph — all in a local SQLite database.
      18
      MIT

    TDQS

    A4.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool owns a clearly distinct verb-resource: store (write), recall (read), forget (delete), consolidate (maintenance pass), and health (read-only stats). The descriptions actively disambiguate by cross-referencing each other (e.g. 'to save, use zenbrain_store; to see how much is stored, use zenbrain_health'). No two tools could reasonably be confused.

    Naming Consistency5/5

    All five tools follow a uniform zenbrain_<operation> snake_case pattern with single, predictable operation tokens. The convention holds throughout, with no mixing of styles or verb forms.

    Tool Count5/5

    Five tools is well-scoped for a memory server, with each tool earning its place across a full lifecycle (write, read, delete, consolidate, monitor). Nothing is redundant or missing a corresponding slot.

    Completeness4/5

    The surface covers the full memory lifecycle: create (store), read (recall), delete (forget), maintenance (consolidate), and observability (health). Direct update/edit is absent, though it is explicitly documented as a forget-then-store workaround, so it's a minor gap rather than a dead end.

    Maintenance

    ActivityActive
    ResponsivenessSlow