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Alternatives to hypotree

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    Related Servers

    • A
      license
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      C
      maintenance
      An MCP server for coding agents that stores facts in HydraDB, links them to entities, detects revisions, and propagates trust decay through provenance. It provides scoped recall with transparent scoring and abstains when evidence is missing.
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    • A
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      Gives MCP-compatible AI assistants one shared, append-only memory stored as a graph, so facts persist across tools and sessions with their full reasoning chain. Enables finding disagreements between tools, resolving them by recording a winner, and seeing which downstream decisions become stale.
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    • A
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      A persistent, event-sourced knowledge graph MCP server for AI coding agents that enables semantic search, tiered context retrieval, and git-based version control of AI memory.
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    • A
      license
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      quality
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      maintenance
      An MCP server that structures AI reasoning as directed acyclic graphs of semantic thoughts, enabling explicit dependencies, assumption tracking, and cascade invalidation for transparent decision-making.
      7 npm
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents to maintain structured, persistent memory as a typed-edge knowledge graph over contexts, decisions, and tasks, with deterministic auto-threading, trust signals, and replayable story recall. It also exposes a token-lean MCP gateway for on-demand tool discovery, helping agents preserve causal project context across sessions.
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    TDQS

    A3.8/5.0

    Scored across 20 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: creation vs. evidence vs. status vs. topology. However, `verify_upstream` and `invalidate_upstream` are closely related (opposite actions on ancestors), and `update_status` could be seen as a general-purpose override that overlaps with the more targeted status-changing tools, though the descriptions help differentiate them.

    Naming Consistency4/5

    The majority of tool names follow a verb_noun pattern (e.g., create_hypotheses, add_edges, record_evidence). A few exceptions like `what_would_change_my_mind` and `get_dag_context` break the pattern but are still understandable. The inconsistency is minor but noticeable.

    Tool Count5/5

    With 20 tools covering a complex domain (hypothesis management, evidence, claims, conflicts, and workspace introspection), the count is justified. Each tool serves a distinct operational need, from low-level CRUD (create_hypotheses, add_edges) to high-level analysis (what_would_change_my_mind, generate_learning_path). The set is comprehensive without being bloated.

    Completeness5/5

    The tool surface covers the full lifecycle: creating hypotheses, managing evidence, handling leases, updating statuses, resolving conflicts, and reporting goal progress. Critical gaps like missing delete operations are intentionally avoided (hypotheses are retained for auditability), and read-only introspection tools provide a complete view of the belief state.

    Maintenance

    ActivityStale
    ResponsivenessNo issues