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beever-atlas
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beever-atlas

Active·★ 445·Apache-2.0·Updated 2026-09-10
★ RAG / Knowledge Base★ API Integration

Beever Atlas automatically pulls conversations from Slack, Discord, Microsoft Teams, and Mattermost, extracts atomic facts, deduplicates them, and clusters them into topic pages with citations. It provides an LLM-first wiki that grows on its own, and allows natural language querying with answers cited back to source messages. The system also offers an MCP server for integration with AI agents like Claude Code and Cursor.

beever-atlas is currently grouped under RAG / Knowledge Base, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Multi-Platform Integration (Slack, Discord, Teams, Mattermost) and Automatically build a browsable wiki from team chat history for onboarding and reference.. The listed license is Apache-2.0, which is useful when adoption constraints matter. It also shows measurable community traction with 445 GitHub stars.

#discord-bot#fastapi#gemini#google-adk#knowledge-base#llm#mattermost#mcp
$ Install
$ git clone https://github.com/beever-ai/beever-atlas.git && cd beever-atlas && ./atlas
↗ Visit site★ GitHub
01

Features

01Multi-Platform Integration (Slack, Discord, Teams, Mattermost)
02Message Sync (on-demand or scheduled, resumable, rate-limit aware)
03Memory Ingestion (6-stage ADK pipeline extracting facts, entities, relationships)
04LLM Wiki (auto-maintained per-channel wiki with topics, decisions, citations)
05QA Agent (streaming answers with semantic/graph hybrid retrieval)
02

Why choose it

+Multi-Platform Integration (Slack, Discord, Teams, Mattermost)
+Automatically build a browsable wiki from team chat history for onboarding and reference.
+Covers 4 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a Apache-2.0 license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

Slack
Slack
Verified via docs
Discord
Discord
Verified via docs
Microsoft Teams
Teams
Verified via docs
Mattermost
Mattermost
Verified via docs
05

Quick start

1
$ git clone https://github.com/beever-ai/beever-atlas.git
2
$ cd beever-atlas
3
$ ./atlas
06

Use cases

↳Automatically build a browsable wiki from team chat history for onboarding and reference.
↳Query team knowledge in natural language with answers cited back to original messages.
↳Integrate with AI coding assistants via MCP to access team knowledge from within Claude Code or Cursor.
07

How it compares

≈beever-atlas sits in the RAG / Knowledge Base category, so it makes more sense to evaluate it alongside tools like mindsdb instead of in isolation.
≈If your main need is closer to "Automatically build a browsable wiki from team chat history for onboarding and reference.", that use case is a better lens for comparison than broad feature checklists alone.
≈beever-atlas uses a Apache-2.0 license, and community traction are both easier to judge in category context.
08

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Related searches

beever-atlas AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge Basebeever-atlas Tutorialbeever-atlas Vs Competitorsdiscord-botfastapigemini

Comments

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  • ?
    usr_seed_0116Apr 9, 2026

    Conversational wiki that learns from your interactions is a compelling concept.

  • ?
    usr_seed_0596Mar 21, 2026

    The LLM-native approach means retrieval is semantic, not just keyword matching.

  • ?
    usr_seed_0163Mar 20, 2026

    Good for teams building shared institutional knowledge with AI assistance.

  • ?
    usr_seed_0015Mar 6, 2026

    Knowledge accumulates naturally through use rather than manual data entry.

On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 445
Last commit1d ago
StatusActive
LicenseApache-2.0
CategoryRAG / Knowledge Base
Trend (30d)
+17.8↑ 0.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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