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Alternatives to devrecall

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    Related Servers

    • F
      license
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      quality
      B
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      Local-first memory for AI coding agents. Indexes your Claude Code, Codex, Cursor, Cline and Gemini CLI history by repo/branch/worktree and hands a context capsule (decisions, touched files, next steps) to the next agent over MCP.
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    • A
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      A
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      Semantic codebase search + persistent working memory for AI code editors. Local, zero-config, MCP. No API key.
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    • A
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      A
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      Local-first, auditable memory for Codex, Claude Code, and MCP clients. It stores scoped user/project memory in SQLite or Postgres, serves read-only recall and inspection tools by default, and supports opt-in governed writeback with review and forget controls.
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    • A
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      A
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      Shared, code-grounded memory for developers and their coding agents. Capture a learning once and the whole team plus every agent recalls it; memory is grounded in your code and stored as git-tracked JSON reviewed in PRs, with citations validated on write and stale memory withheld from recall. Works with any MCP client.
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    • A
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      Indexes git history, shell commands with exit codes, project docs, and opt-in assistant transcripts into a local SQLite database, then serves ranked, token-budgeted context back over MCP. Uniquely links a failed shell command to the commit that fixed it, so agents can recall what was already tried and what worked.
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    TDQS

    A3.9/5.0

    Scored across 17 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes—search, list, count, drill-down, and work-item aggregation are separated well. The main overlaps are get_related_activities vs get_work_item, and search_activities vs semantic_search_activities, but the descriptions provide enough guidance to choose correctly.

    Naming Consistency4/5

    The core set follows a consistent verb_noun snake_case pattern like list_activities, count_activities, and resolve_person. A few names deviate—who_worked_on, recent_decisions, current_time, and the abbreviated prep_meeting—but the overall style remains readable and predictable.

    Tool Count4/5

    At 17 tools, this is slightly above the ideal 3-15 range, but the server covers a broad domain spanning activity search, work items, people, summaries, and meeting prep. Most tools earn their place and support distinct workflows rather than padding the surface.

    Completeness4/5

    The read/query surface is strong: search, list, count, drill-down, person resolution, work-item aggregation, and pre-built summaries cover the main recall workflows. The notable gap is that log_event supports creating manual notes but there is no update or delete path, and there is no explicit metadata tool for enumerating sources or types.

    Maintenance

    ActivityActive
    ResponsivenessNo issues