Comparison
mcp-local-rag vs awesome
Verdict
Pick mcp-local-rag when license: mcp-local-rag is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, mcp-local-rag is MIT.
Markdown twin · mcp-local-rag alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | mcp-local-rag | awesome |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- mcp-local-rag
- Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- mcp-local-rag
- 339
- awesome
- 484k
Forks
- mcp-local-rag
- 64
- awesome
- 36k
Open issues
- mcp-local-rag
- 3
- awesome
- 92
Language
- mcp-local-rag
- TypeScript
- awesome
- -
Adopt for
- mcp-local-rag
- -
- awesome
- -
Persona
- mcp-local-rag
- -
- awesome
- -
Runtime
- mcp-local-rag
- -
- awesome
- -
License
- mcp-local-rag
- MIT
- awesome
- CC0-1.0
Last pushed
- mcp-local-rag
- Jul 11, 2026
- awesome
- Jun 30, 2026
Categories
- mcp-local-rag
- AI Agents, Vector Databases, LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- mcp-local-rag
- Very active (96%)
- awesome
- Active (82%)
Days since push
- mcp-local-rag
- 0d
- awesome
- 11d
Open issues (now)
- mcp-local-rag
- 3
- awesome
- 92
Security scan
- mcp-local-rag
- No MCP manifest
- awesome
- No lockfile
Full report
- mcp-local-rag
- Trust report
- awesome
- Trust report
Choose mcp-local-rag if…
- License: mcp-local-rag is MIT, awesome is CC0-1.0.
- Tags unique to mcp-local-rag: agent-skills, mcp-server, local-rag, local-first.
- Also covers AI Agents, Vector Databases.
When NOT to use mcp-local-rag
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose awesome if…
- License: awesome is CC0-1.0, mcp-local-rag is MIT.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 339) - visibility, not fit.
When NOT to use awesome
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (shinpr/mcp-local-rag) · observed Jul 11, 2026
- GitHub forks (shinpr/mcp-local-rag) · observed Jul 11, 2026
- Last push (shinpr/mcp-local-rag) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mcp-local-rag 339 · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between mcp-local-rag and awesome?
- mcp-local-rag: Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose mcp-local-rag over awesome?
- Choose mcp-local-rag over awesome when License: mcp-local-rag is MIT, awesome is CC0-1.0; Tags unique to mcp-local-rag: agent-skills, mcp-server, local-rag, local-first; Also covers AI Agents, Vector Databases.
- When should I choose awesome over mcp-local-rag?
- Choose awesome over mcp-local-rag when License: awesome is CC0-1.0, mcp-local-rag is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 339) - visibility, not fit.
- When should I avoid mcp-local-rag?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is mcp-local-rag or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 339). Stars measure visibility, not whether either tool fits your constraints.
- Are mcp-local-rag and awesome open source?
- Yes - both are open-source projects on GitHub (mcp-local-rag: MIT, awesome: CC0-1.0).
- Where can I find alternatives to mcp-local-rag or awesome?
- GraphCanon lists graph-backed alternatives at mcp-local-rag alternatives and awesome alternatives (mcp-local-rag markdown twin, awesome markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, mcp-local-rag or awesome?
- mcp-local-rag: Very active. awesome: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for mcp-local-rag and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mcp-local-rag trust report; awesome trust report.