devwhodevs / engraph
Local knowledge graph for AI agents. Hybrid search + MCP server for Obsidian vaults.
Why this job: says: knowledge graph; topics: rag, semantic-search, knowledge-graph
What it does
- 5-lane hybrid search (semantic + FTS5 + graph + cross-encoder reranker + temporal) with two-pass RRF fusion
- Temporal search. natural language date queries ("last week", "March 2026", "recent"), date extraction from frontmatter and filenames, smooth decay scoring
- Confidence % display. search results show normalized 0-100% confidence instead of raw RRF scores
- LLM research orchestrator. query intent classification + query expansion + adaptive lane weights
- llama.cpp inference via Rust bindings (GGUF models, Metal GPU on macOS, CUDA on Linux)
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 175
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- 2 systems
- Mac, Linux
- Latest version
- v1.7.2
- Released 5 months ago
- Built with
- Rust
- 100% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 50% closed
- 7 still open
- Pull requests
- 27 merged
- 7 waiting
- Releases
- 25
- 25 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: download files, languages, topics and project record
Download files, v1.7.2
- Mac1 file, 66 downloads
- Linux1 file, 469 downloads
Languages
- Rust 100%
Topics
- ai-agents
- knowledge-graph
- local-first
- mcp
- obsidian
- rag
- rust
- semantic-search
Project record
- JobRAG and search
- StatusListed
- Commits201
- Forks17
- Watching1
- Stars in 28 days+3
- CreatedMar 19, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026