neuron-explorer
Qwen3.5‑4B 전용 조향형 뉴런 탐색기, 모든 MLP 뉴런을 밀어 결과를 보관·탐색
AI 기반 지식 검색으로 레포·Confluence·Slack을 수집해 신뢰도와 모순 감지를 제공하는 엔지니어링 팀용 오픈소스 솔루션
AI-powered knowledge retrieval for engineering teams. Ingest repos, Confluence, Slack — get answers with confidence signals and contradiction detection. Open-source, self-hosted, MCP-native.
개발 도구Go · HTMLGitHub @alecgard온라인운영자 미확인
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Knowledge engine that gives AI agents reliable, structured access to your team's knowledge.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Your team's knowledge is scattered across repos, wikis, Confluence, and Slack. Traditional search finds documents. Knowledge Broker finds answers, tells you how much to trust them, and shows you where sources disagree.
AI agents query it over MCP, people use the CLI, and teams get a shared HTTP API. Hybrid search, structured confidence signals, and contradiction detection. Open-source and self-hosted - no data leaves your environment.
Or build from source (requires Go 1.24+):
Ollama is installed and configured automatically on first run.README 전문 보기 ↗Your team's knowledge is scattered across repos, wikis, Confluence, and Slack. Traditional search finds documents. Knowledge Broker finds answers, tells you how much to trust them, and shows you where sources disagree.
AI agents query it over MCP, people use the CLI, and teams get a shared HTTP API. Hybrid search, structured confidence signals, and contradiction detection. Open-source and self-hosted - no data leaves your environment.
Docs | Quick Start | Architecture
curl -fsSL https://knowledgebroker.dev/install.sh | sh
Or build from source (requires Go 1.24+):
git clone https://github.com/alecgard/knowledge-broker.git
cd knowledge-broker
make install
Ollama is installed and configured automatically on first run.
kb ingest --source ./my-repo --description "Backend API"
kb ingest --git https://github.com/acme/platform --description "Platform services"
kb ingest --confluence ENGINEERING --description "Engineering wiki"
kb ingest --slack C0ABC123DEF --description "Platform engineering channel"
# Raw retrieval — no API key needed
kb query --raw "What database does the inventory service use?"
# Synthesised answer (requires an LLM provider — Claude by default)
export ANTHROPIC_API_KEY=sk-ant-...
kb query "What database does the inventory service use?"
{
"answer": "The inventory service uses PostgreSQL (v16 on RDS, r6g.2xlarge).",
"confidence": {
"overall": 0.93,
"breakdown": {
"freshness": 0.94,
"corroboration": 0.85,
"consistency": 1.00,
"authority": 0.95
}
},
"sources": [
{ "source_type": "confluence", "source_name": "ENGINEERING", "source_path": "Internal Services" },
{ "source_type": "slack", "source_name": "engineering", "source_path": "#platform-engineering/2026-03-06" }
],
"contradictions": []
}
Not everyone has a Claude or OpenAI API key. Local mode synthesises answers using a small model running entirely on your machine via Ollama — no data leaves your environment, no API costs, no setup beyond a single env var.
export KB_LLM_PROVIDER=ollama
kb query "How does the payment retry logic work?"
Best for: quick lookups, onboarding onto a new codebase, and environments where external API calls aren't an option.
kb serve # HTTP API on :8080, MCP on :8082 (stdio + SSE)
See the full documentation for connector setup, MCP integration, CLI reference, configuration, and the evaluation framework.
BSL 1.1, free to use and self-host. Converts to Apache 2.0 after 4 years.