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Alternatives to ai-rete-rag

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables deterministic rule-engine decisions with document-grounded explanations, along with inspection, drafting, validation, publishing, and management of domain rules, policy documents, and decision quotas.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Deterministic policy enforcement for AI agent tool calls. It evaluates every tool call against user-defined rules before execution, with no LLM in the authorization path.
      4
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    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to make typed yes/no or multiple-choice decisions by evaluating plain-language rules from a YAML file or one-off questions against supplied context, returning probabilities and confidence scores with an uncertain flag near thresholds.
      4
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables users to run deterministic rule checks against their own metrics or HTTP/CSV sources and pull back a short decision brief: only the items that crossed a threshold, each with the number that tripped it and suggested next steps. Users can also record accept/reject/edit feedback so subsequent briefs reflect their own playbook, all without API keys or a live LLM.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables clients to run deterministic eligibility and decision evaluations from compiled legislation, policy, contracts, and regulation, inspect schemas and traces, route next questions, and discover rulesets, with optional private-beta authoring tools for rule generation, testing, refining, and publishing.
      35
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    TDQS

    A4.3/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools are clearly distinct across the decision lifecycle: inspecting parameters, listing rules, fetching editable rule YAML, deciding, ingesting documents, drafting rules, saving rules, and checking usage. However, get_parameters, list_rules, and get_rule_source all expose rule/domain metadata and can overlap when an agent is trying to learn which facts or rules matter before calling decide.

    Naming Consistency5/5

    All tool names use consistent snake_case and are predominantly imperative verb_noun forms such as get_parameters, list_rules, put_rules, ingest_text, and import_policy_rules. The single verb decide is the one deviation, but it is clear and consistent with the server's action-oriented naming style.

    Tool Count5/5

    Nine tools is well scoped for a rule-based RAG decision server, covering discovery, authoring, ingestion, decision-making, and account usage without feeling bloated. Each tool appears to support a real part of the workflow.

    Completeness4/5

    The core lifecycle is covered: inspect parameters and rules, author/import/save rules, ingest and list documents, make decisions, and check usage. Minor gaps exist around domain/document management, such as no explicit list_domains or document deletion/read-content tool, though list_rules across all domains may partially mitigate this.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing