Skip to main content
Glama
vishnu-77

OpenReflex

by vishnu-77
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to OpenReflex

No user-submitted related servers found.

    Related Servers

    • code-recall

      AbianS
      A
      license
      Not graded
      quality
      C
      maintenance
      Gives AI coding agents persistent memory by storing observations, decisions, and learnings in a local SQLite database with vector search, full-text search, and a rules engine.
      4
      MIT

    • Thoth-Mem

      EremesNG
      A
      license
      A
      quality
      A
      maintenance
      Persistent memory for AI coding agents, storing learned architecture decisions, patterns, and bug fixes in a local SQLite database with full-text search, enabling agents to recall information across sessions.
      6
      364 npm
      1
      MIT

    • LumenCore

      arclightdynamics
      A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI coding assistants with persistent project memory to retain architectural decisions, code patterns, and domain knowledge across sessions. It stores data locally in a SQLite database, allowing agents to remember, recall, and manage project-specific context using full-text search.
      5 npm
      Apache 2.0

    • MCP Vector Memory

      vertexhub-ai
      A
      license
      Not graded
      quality
      Not graded
      maintenance
      Provides AI coding agents with persistent, long-term memory through local semantic search and SQLite storage. It enables agents to save and retrieve architectural decisions or project context across different conversation sessions without requiring cloud services.
      MIT

    • rekal

      janbjorge
      A
      license
      Not graded
      quality
      A
      maintenance
      Provides long-term memory for LLMs via local SQLite storage with hybrid search (BM25, vectors, recency decay), enabling AI coding agents to persist and recall memories across sessions without cloud or API keys.
      53
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool serves a distinct function: context retrieval, strategy declaration, outcome recording, experience search, graph exploration, insights, and project approval. There is no overlap in purpose.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (get_, choose_, record_, search_, explain_, approve_), but 'project_insights' breaks the pattern by being noun-first. Overall readable and predictable.

    Tool Count5/5

    Seven tools is well-scoped for an experience management server, covering retrieval, capture, strategy, insights, and activation without being sparse or bloated.

    Completeness4/5

    The tool surface covers the core lifecycle (retrieve, capture, declare, search, inspect, analyze) but lacks explicit editing or deletion of experiences, a minor gap for full CRUD coverage.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources