RAG and search: tools for developers

Retrieval-augmented tools, vector databases, embeddings and semantic search. An entry can appear under several use cases when its topics or description provide several explicit signals.

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146 entries in this view.

Tool ranking

Ranked by measured growth, normalized across sources. Raw values keep their source-specific window, shown under each tool; a change requires at least two snapshots from the last 7 days.

  1. 1

    Skill
    Dormant

    LLM-maintained personal wiki for Claude Code. Active librarian: ingest, synthesize, cross-link, remind.

    ShellLicense: MIT
    • claude-code
    • claude-code-plugin
    • knowledge-base
    • llm
    • rag

    githubmeasured growthOpen source ↗

    Install /plugin marketplace add deepfounder-ai/llm-wiki

    13GitHub starsstable
  2. 2

    Skill
    Active

    官方简体中文 Agent Skills for SearchCans SERP API、Reader API 与 Account API：深度研究、SEO/GEO 内容差距分析与网页提取审计。

    PythonLicense: Apache-2.0
    • agent-skills
    • ai-agents
    • chinese
    • claude-code-skills
    • claude-skills

    githubmeasured growthOpen source ↗

    Install git clone https://github.com/SearchCans/searchcans-skills-zh ~/.claude/skills/searchcans-skills-zh

    3GitHub starsstable
  3. 3

    Other
    Dormant

    nano-degree in Agentic AI

    PythonLicense: MIT
    • a2a
    • acp
    • agent
    • mcp
    • rag

    githubmeasured growthOpen source ↗

    13GitHub stars+1 (+8.3 %)
  4. 4

    Skill
    Active

    A lightweight, lightning-fast, in-process vector database

    C++License: Apache-2.0
    • agent-skills
    • db
    • embedded
    • faiss
    • fts

    githubmeasured growthOpen source ↗

    Install git clone https://github.com/alibaba/zvec ~/.claude/skills/zvec

    15 784GitHub stars+246 (+1.6 %)
  5. 5

    Agent
    Active

    AI agent that plays a city quest game using MCP, A2A, RAG, and memory. Built with Microsoft Agent Framework and Azure OpenAI

    PythonLicense: MIT
    • agent-to-agent
    • ai-agents
    • azure-ai-search
    • azure-openai
    • mcp

    githubmeasured growthOpen source ↗

    3GitHub starsstable
  6. 6

    Skill
    Active

    Manage stateful, persistent agent workloads with Cloudflare Durable Objects for efficient, scalable real-time communication and scheduling.

    TypeScriptLicense: MIT
    • agentic-framework
    • agentic-rag
    • agents
    • ai-agents
    • autogen

    githubmeasured growthOpen source ↗

    Install /plugin marketplace add pertamaxxx/agents

    3GitHub starsstable
  7. 7

    Other
    Dormant

    Build an autonomous supply chain with Gemini 3 Flash Code Execution & AlloyDB AI ScaNN. Deterministic vision + semantic search + A2A protocol.

    PythonLicense: Apache-2.0
    • a2a-protocol
    • alloydb
    • gemini-3-flash
    • generative-ai
    • google-cloud

    githubmeasured growthOpen source ↗

    3GitHub starsstable
  8. 8

    MCP
    Active

    Remote ChromaDB vector database MCP server with streamable HTTP transport

    TypeScriptLicense: MIT

      mcpmeasured growthOpen source ↗

      Remote server, to be declared in the MCP configuration https://meloncafe.github.io/chromadb-remote-mcp/mcp

      12GitHub starsstable
    • 9

      Agent
      Abandoned

      LeapRAG is an open-source platform that integrates advanced RAG technology with Google’s A2A protocol, enabling users to build context-aware, data-driven agents. These agents are automatically A2A-compliant and can be discovered and used by…

      PythonLicense: Apache-2.0
      • a2a
      • a2a-protocol
      • agent-to-agent
      • agents
      • chatgpt

      githubmeasured growthOpen source ↗

      3GitHub starsstable
    • 10

      MCP
      Dormant

      Local-first MCP server: semantic search over library docs. No cloud, no API key, no telemetry.

      GoLicense: Apache-2.0

        mcpmeasured growthOpen source ↗

        3GitHub starsstable
      • 11

        MCP
        Active

        The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training.

        GoLicense: MIT
        • a2a
        • a2a-protocol
        • agentic-framework
        • agentic-rag
        • agentic-workflow

        githubmeasured growthOpen source ↗

        11GitHub starsstable
      • 12

        MCP
        Active

        Semantic search across Sui documentation and knowledge sources, powered by kapa.ai

        RustLicense: Apache-2.0

          mcpmeasured growthOpen source ↗

          Remote server, to be declared in the MCP configuration https://sui.mcp.kapa.ai

          7 740GitHub starsstable
        • 13

          MCP
          Dormant

          Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.

          PythonLicense: MIT

            mcpmeasured growthOpen source ↗

            3GitHub starsstable
          • 14

            MCP
            Dormant

            RedM / RDR3 docs MCP server: native lookups, semantic search, VORP, RSGCore, oxmysql.

            mcpmeasured growthOpen source ↗

            Remote server, to be declared in the MCP configuration https://redm-mcp.fivem.no/mcp

            3GitHub starsstable
          • 15

            MCP
            Active

            Persistent memory for AI assistants with semantic search and knowledge graph relationships.

            RustLicense: Apache-2.0

              mcpmeasured growthOpen source ↗

              Install claude mcp add octobrain -- npx @muvon/octobrain

              11GitHub starsstable
            • 16

              MCP
              Active

              Encrypted-first embedded database with vector search and agent memory, exposed as MCP tools

              RustLicense: Apache-2.0

                mcpmeasured growthOpen source ↗

                Install claude mcp add mcp -- uvx citadeldb-mcp

                3GitHub starsstable
              • 17

                Skill
                Active

                Your AI confers, with anyone's — an open A2A protocol platform where AI Agents talk to each other on behalf of their owners. Self-hosted, DID:web identity, RFC 9421 signatures, Claude Code plugin.

                TypeScriptLicense: Apache-2.0
                • a2a
                • a2a-protocol
                • agent-communication
                • agent-to-agent
                • ai-agents

                githubmeasured growthOpen source ↗

                Install git clone https://github.com/hyhmrright/Confer ~/.claude/skills/Confer

                3GitHub starsstable
              • 18

                Skill
                Active

                Claude Code plugin: four-layer long-term memory (L0→L1→L2→L3 Persona) with local FTS5 + EmbeddingGemma vector hybrid recall, zero external API

                JavaScript
                • agent
                • ai-agent
                • claude-code-plugin
                • embedding
                • llm

                githubmeasured growthOpen source ↗

                Install /plugin marketplace add baodq97/tencentdb-agent-memory

                10GitHub starsstable
              • 19

                MCP
                Active

                Persistent memory and receipt-verified workflows for Claude Code — plugin, MCP server, and spec-driven dev framework in one pip install.

                HTMLLicense: Apache-2.0
                • agent-memory
                • ai
                • claude
                • claude-code
                • claude-code-plugin

                githubmeasured growthOpen source ↗

                10GitHub starsstable
              • 20

                MCP
                Active

                A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。

                PythonLicense: MIT
                • agentic-ai
                • agentic-workflows
                • ai-agent
                • ai-agents
                • awesome-list

                githubmeasured growthOpen source ↗

                6 659GitHub stars+154 (+2.4 %)
              • 21

                App
                Dormant

                Enterprise-grade database architect, security auditor and production consultant for Supabase — Claude Code Skill

                TypeScriptLicense: MIT
                • anthropic
                • claude-code
                • claude-code-skill
                • database-architect
                • multi-tenant

                githubmeasured growthOpen source ↗

                3GitHub starsstable
              • 22

                Skill
                Active

                Production-grade AI coding rules for Cursor and Claude Code. 15 rules + 9 doc templates + skills + agents + MCP setup. Drop into any project.

                PythonLicense: MIT
                • ai-agents
                • ai-coding
                • ai-development
                • ai-engineer
                • automation

                githubmeasured growthOpen source ↗

                Install git clone https://github.com/aiagentwithdhruv/ai-dev-stack ~/.claude/skills/ai-dev-stack

                10GitHub starsstable

              Learning resources

              Ranked by measured growth, normalized across sources. These resources remain available separately and do not take part in the main tool ranking.

              1. 1

                claude-memory

                Other
                DormantOpen source ↗

                Persistent memory for Claude Code. Auto-capture decisions, learnings, client info. Cloud backup to Supabase. Never lose context again. Free alternative to Mem.ai, Rewind AI, Personal AI.

                PythonLicense: MIT
                • ai-memory
                • claude
                • claude-code
                • claude-code-skills
                • claude-memory
                githubResourcemeasured growth
                14GitHub starsstable

              Listed without a public metric

              Mixed ranking: measured growth takes priority; entries without two snapshots are estimated. Raw values keep their source-specific window, shown under each tool; a change requires at least two snapshots from the last 7 days.

              1. 1

                MCP
                UnknownLast commit: unavailable

                Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.

                mcpmetric not publishedOpen source ↗

                Remote server, to be declared in the MCP configuration https://ais.agentsandswarms.ai/mcp

                —No public metric provided
              2. 2

                MCP
                UnknownLast commit: unavailable

                Authority-weighted memory graph for AI agents with conflict detection and semantic search.

                mcpmetric not publishedOpen source ↗

                Install claude mcp add mcp-memory-graph -- uvx mcp-memory-graph

                —No public metric provided