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Related Servers

Alternatives to Artel

  • A
    license
    A
    quality
    D
    maintenance
    An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.
    4
    27 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Persistent shared memory for AI coding agents. Stores facts as entity/key/value triples with hybrid semantic search, task checkpoints, and conflict resolution — shared across Claude Code, Codex CLI, and GitHub Copilot.
    16
    235 npm
    5
    AGPL 3.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    A production-ready MCP server that enables multiple AI agents to collaborate through a shared, concurrency-safe memory space. It supports advanced search, full CRUD operations, and automatic backups to facilitate asynchronous communication between agents.
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.
    15
    0
    8
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server that exposes agent-memory-daemon to any MCP-compatible client — Kiro (CLI & IDE), Claude Desktop, Cursor, and others. The daemon does the thinking (consolidation + extraction); this server is a thin filesystem bridge so agents can read, append, and search memory through the Model Context Protocol.
    4
    11 npm
    4
    MIT

Related Servers

  • A
    license
    A
    quality
    A
    maintenance
    Local-first shared memory and task coordination for AI coding agents. One Go binary, MCP server, markdown files you own. Hooks for Claude Code and Codex CLI (and their desktop apps).
    30
    4
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A self-hosted server providing shared memory, RAG document search, project maps, and role-based prompts for all AI agents via MCP and REST, enabling persistent context across devices and tools.
    2
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Local task-and-memory layer for coding agents (Claude Code, Codex, opencode, Kimi): a task queue with dependencies and atomic claims, an oplog of decisions with hybrid search, and memory that survives context compaction. Bun + SQLite, no network calls of its own, no API key. MIT.
    6 npm
    13
    MIT
  • A
    license
    B
    quality
    A
    maintenance
    Cross-agent memory server: hybrid (vector + full-text + knowledge-graph) recall, per-user private/shared visibility, write-side secret/PII redaction, and as-of-date bi-temporal fact queries. Auto-injection hooks for Claude Code / Cursor / Codex; self-hostable on PostgreSQL or SQLite.
    46
    35 PyPI
    8
    MIT
  • F
    license
    Not graded
    quality
    Not graded
    maintenance
    A production-grade coordination hub that enables AI agents and human teams to work as a single organism by sharing tasks, context, decisions, and persistent memory across projects. It features two-tier agentic memory with per-agent hot caches, inter-agent messaging, and multi-agent authorship tracking for seamless collaboration.
    2
    -
  • A
    license
    A
    quality
    A
    maintenance
    One local memory every coding agent on your machine shares — Claude Code, Cursor, Claude Desktop, OpenCode. Answers from past sessions, commits, CLAUDE.md/AGENTS.md and ADRs with the exact source, and withholds work another agent has claimed so two agents don't rewrite the same thing.
    4
    3
    81 PyPI
    1
    MIT

TDQS

A3.9/5.0

Scored across 47 tools

Disambiguation4/5

Most tools are clearly differentiated with detailed descriptions; memory_search vs memory_list are explicitly framed as complements and session_context auto-invokes memory_delta, noting the redundancy. The main ambiguity risk is the large cluster of DEPRECATED message_* and task_* tools that coexist with harness-owned equivalents, which could cause an agent to pick a discouraged path, though all are clearly flagged.

Naming Consistency5/5

Naming is highly consistent: snake_case throughout, with a predictable verb_noun pattern (memory_write, task_claim, feed_subscribe, decision_list, project_join, blueprint_instantiate, graph_link, compile_setup). Even the exception pairs like session_context/session_handoff and message_mark_read follow the same convention. No camelCase or mixed verb styles appear.

Tool Count2/5

47 tools is well into the 'too many' range and near the extreme end. While the server covers a genuinely broad domain (memory, tasks, projects, feeds, decisions, blueprints, events, compile mode), the surface is padded by a large deprecated cluster of message_* and task_* tools plus several overlapping memory/retrieval operations that could be consolidated.

Completeness4/5

The domain is comprehensively covered: memory has full CRUD plus search/list/delta, tasks have a complete lifecycle with dependencies, and projects, decisions, feeds, and blueprints each have create/read/delete coverage. Minor gaps exist (graph operations are limited to neighbor/link with no delete, and there is no non-deprecated messaging path), but agents can accomplish all core workflows without dead ends.

Maintenance

ActivityActive
ResponsivenessSlow