🦞 Super GitHub — AI-Native GitHub Assistant#

Powered by the same Embedder + Qdrant + LLM architecture as elite memory systems. Index repos, search semantically, monitor proactively — all with natural language.

Architecture#

text

Query → [LLM: understand intent] → [Embedder: vectorize] → [Qdrant: semantic search] → [gh CLI: act]

Three-layer system (same as production memory pipelines):

LayerComponentRoleEmbedderOllama nomic-embed-textConverts text → 768-dim vectorsVector StoreQdrant (local)Stores & searches vectors by similarityAction Layergh CLIExecutes GitHub operations

Prerequisites#

• gh CLI authenticated ( gh auth status)
• Ollama running with nomic-embed-text:latest
• Qdrant running at localhost:6333

Quick Start#

bash

# 1. Initialize Qdrant collection
python scripts/github_indexer.py init

# 2. Index a repo
python scripts/github_indexer.py add owner/repo --all

# 3. Search with natural language
python scripts/github_search.py "memory search failing in agent" --limit 10

# 4. Monitor for keywords
python scripts/github_monitor.py watch owner/repo --events issues,ci --keywords bug,broken,urgent

Scripts#

ScriptPurposegithub_indexer.pyIndex repos (issues, PRs, metadata) into Qdrantgithub_search.pyNatural language semantic searchgithub_monitor.pyProactive monitoring with keyword alerts

Detailed Commands#

Index (github_indexer.py)#

bash

python github_indexer.py init                    # Create Qdrant collection
python github_indexer.py add owner/repo --all     # Index everything
python github_indexer.py add owner/repo --issues # Issues only
python github_indexer.py add owner/repo --prs    # PRs only
python github_indexer.py add owner/repo --repo   # Repo metadata
python github_indexer.py status                   # Show indexed data
python github_indexer.py rm owner/repo           # Remove from index

Search (github_search.py)#

bash

python github_search.py "query"                            # Search all
python github_search.py "query" --repo owner/repo         # Filter by repo
python github_search.py "query" --type issue              # Filter by type
python github_search.py "query" --limit 20               # More results
python github_search.py "query" --repo owner/repo --ci    # Show CI runs

Monitor (github_monitor.py)#

bash

python github_monitor.py watch owner/repo                  # Start watching
python github_monitor.py watch owner/repo --events issues,ci
python github_monitor.py status                            # Show watches
python github_monitor.py check                            # Run checks
python github_monitor.py unwatch owner/repo               # Stop watching

Memory System Analogy#

ComponentGitHub SkillMemory SystemDataIssues, PRs, codeConversationsEmbeddernomic-embed-textnomic-embed-textVector StoreQdrantQdrantAddgithub_indexer.pymem0 addSearchgithub_search.pymem0 search

Why Vector Search vs Keyword?#

Approach"memory problems" queryKeywordExact match onlyVector (this)"memory leak", "OOM", "out of memory"

Setup Checklist#

• gh auth login — authenticate GitHub CLI
• ollama pull nomic-embed-text:latest — download embedder
• Start Qdrant: qdrant --storage-path ./qdrant-data
• python github_indexer.py init — create collection