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pipeshub-ai/pipeshub-ai

The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 40+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.

#RAG
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Python
4k
682
47 contributors
Apache License 2.0
website
AchievementsView all →
FeaturedAdvertise to 180K+ monthly visitors
Bifrost

Fastest Enterprise AI Gateway for Routing, Governing, and Securing all your AI Traffic

Momentum

How fast pipeshub-ai/pipeshub-ai is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 7 – Nov 6, 2026

Stars +298 in 61 days

050100
67

Forks +101 in 61 days

051015
11

Merged PRs 1,854 in 61 days

050100150
142

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 7Sep 15Sep 23Oct 1Oct 9Oct 17Oct 25Nov 2
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Mon, Sep 7, 2026+0+01
Tue, Sep 8, 2026+6+20
Wed, Sep 9, 2026+0+12
Thu, Sep 10, 2026+1+114
Fri, Sep 11, 2026+2+15
Sat, Sep 12, 2026+1+04
Sun, Sep 13, 2026+5+45
Mon, Sep 14, 2026+2+34
Tue, Sep 15, 2026+3+010
Wed, Sep 16, 2026+2+34
Thu, Sep 17, 2026+4+328
Fri, Sep 18, 2026+3+128
Sat, Sep 19, 2026+3+132
Sun, Sep 20, 2026+2+242
Mon, Sep 21, 2026+3+210
Tue, Sep 22, 2026+3+210
Wed, Sep 23, 2026+1+216
Thu, Sep 24, 2026+2+113
Fri, Sep 25, 2026+6+055
Sat, Sep 26, 2026+0+043
Sun, Sep 27, 2026+4+16
Mon, Sep 28, 2026+3+128
Tue, Sep 29, 2026+5+224
Wed, Sep 30, 2026+2+27
Thu, Oct 1, 2026+7+432
Fri, Oct 2, 2026+10+121
Sat, Oct 3, 2026+3+173
Sun, Oct 4, 2026+0+013
Mon, Oct 5, 2026+0+175
Tue, Oct 6, 2026+3+146
Wed, Oct 7, 2026+1+015
Thu, Oct 8, 2026+6+111
Fri, Oct 9, 2026+3+05
Sat, Oct 10, 2026+4+19
Sun, Oct 11, 2026+2+136
Mon, Oct 12, 2026+1+419
Tue, Oct 13, 2026+0+068
Wed, Oct 14, 2026+3+246
Thu, Oct 15, 2026+4+010
Fri, Oct 16, 2026+0+426
Sat, Oct 17, 2026+0+328
Sun, Oct 18, 2026+1+124
Mon, Oct 19, 2026+3+024
Tue, Oct 20, 2026+0+021
Wed, Oct 21, 2026+2+131
Thu, Oct 22, 2026+0+134
Fri, Oct 23, 2026+1+028
Sat, Oct 24, 2026+2+3142
Sun, Oct 25, 2026+2+260
Mon, Oct 26, 2026+2+5103
Tue, Oct 27, 2026+5+182
Wed, Oct 28, 2026+20+252
Thu, Oct 29, 2026+18+135
Fri, Oct 30, 2026+4+723
Sat, Oct 31, 2026+2+327
Sun, Nov 1, 2026+0+037
Mon, Nov 2, 2026+4+239
Tue, Nov 3, 2026+3+245
Wed, Nov 4, 2026+7+055
Thu, Nov 5, 2026+67+1166
Fri, Nov 6, 2026+45+02
Total+298+1011,854
  • 1#1 on the list
  • 7Rank that day
  • Not trending
9

    • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    Aug 18 – Nov 6, 2026Best #9

    #1#5#10#15#20#25
    Top 10
    Sep 2025NovJan 2026MarMayJulSepNov
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about pipeshub-ai/pipeshub-ai, and every badge it has earned
    1. Nov 41 post

      • Let's be honest, most of us have no idea how accurate our company's AI assistant really is. Onyx put 39 systems through 500 questions over 500,000+ company documents. The open-source one came first.…

        Read full on X, posted by @hasantoxr

        @hasantoxr · x.com

    2. Nov 11 post

      • 2/3 Dumping full docs into MCP responses bloats prompts and triggers "lost in the middle" errors. With @pipeshub-ai/mcp 4.8.0 (PR #4922), we shipped smaller search payloads and targeted record…

        Read full on X, posted by @shekharkadyan

        @shekharkadyan · x.com

    3. 17 days earlier
    4. Oct 151 post

      • Hooking raw MCP tools directly to Slack, Jira, Drive & Confluence forces your LLM to pay a massive "token tax"—reading 50+ tool schemas and unpaginated JSON on every turn. Do the heavy lifting at…

        Read full on X, posted by @shekharkadyan

        @shekharkadyan · x.com

    5. 13 days earlier
    6. Oct 21 post

      • Everyone keeps stacking rerankers and hybrid search on their RAG... someone actually tested if it helps > 18 different RAG pipelines vs one simple agent loop > same model, same embeddings, same…

        Read full on X, posted by @bozad69

        @bozad69 · x.com

    7. Oct 11 post4 posts

      • We benchmarked 18 RAG pipelines against an agent loop on Google's FRAMES. The best pipeline hit 78.9%. Our agent loop hit 92.7%.

        Read full on Reddit

        r/Rag

      • We benchmarked 18 RAG pipelines against an agent loop on Google's FRAMES. The best pipeline hit 78.9%. The agent loop hit 92.7%.

        Read full on Reddit

        r/LocalLLaMA

      • We benchmarked 18 RAG pipelines against an agent loop on Google's FRAMES. The best pipeline hit 78.9%. The agent loop hit 92.7%.

        Read full on Reddit

        r/LangChain

      • We benchmarked 18 RAG pipelines against an agent loop on Google's FRAMES. The best pipeline hit 78.9%. The agent loop hit 92.7%.

        Read full on Reddit

        r/u_Effective-Ad2060

    8. 17 days earlier
    9. Sep 141 post

      • • Grounded answers with precise block citations • Permission-aware search enforcing source-level access controls • 50+ enterprise connectors with real-time and scheduled indexing

        Read full on X, posted by @the_osps

        @the_osps · x.com

    10. Sep 81 post

      • An open-source context layer for building AI on top of company data

        Read full on Reddit

        r/ollama

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