Comparison
synto vs deep-searcher
Verdict
Pick synto if synto is an AI-powered markdown note management system for Obsidian users who prioritize local-first operations and personal knowledge management with zero online data sharing; pick deep-searcher if deepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Markdown twin · synto alternatives · deep-searcher alternatives
GraphCanon updated Sep 20, 2026
15views this month
vs
Trust & integrity
| Signal | synto | deep-searcher |
|---|---|---|
| Maintenance | Active (17d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (272d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- synto
- Local AI-powered markdown note management system for Obsidian
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- synto
- 255
- deep-searcher
- 8.1k
Forks
- synto
- 25
- deep-searcher
- 775
Open issues
- synto
- 10
- deep-searcher
- 53
Language
- synto
- Python
- deep-searcher
- Python
Adopt for
- synto
- Synto is an AI-powered markdown note management system for Obsidian users who prioritize local-first operations and personal knowledge management with zero online data sharing.
- deep-searcher
- DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Persona
- synto
- -
- deep-searcher
- -
Runtime
- synto
- -
- deep-searcher
- -
License
- synto
- MIT
- deep-searcher
- Apache-2.0
Last pushed
- synto
- Sep 2, 2026
- deep-searcher
- Nov 19, 2025
Categories
- synto
- Developer Tools, LLM Frameworks
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- synto
- Active (82%)
- deep-searcher
- Slowing (36%)
Days since push
- synto
- 17d
- deep-searcher
- 272d
Open issues (now)
- synto
- 10
- deep-searcher
- 53
Stars delta
- synto
- +25 (30d)
- deep-searcher
- +59 (30d)
Owner type
- synto
- User
- deep-searcher
- Organization
Full report
- synto
- Trust report
- deep-searcher
- Trust report
Shared compatibility
- Python · synto: Python runtime · deep-searcher: Python runtime
Choose synto if…
- License: synto is MIT, deep-searcher is Apache-2.0.
- Requirements: Min 2 GB RAM.
- Tags unique to synto: git-based-wiki, knowledge-base, llm-knowledge-base, llm-tools.
- Also covers Developer Tools.
- When you prefer to keep all your personal notes and insights strictly on your device without any cloud involvement.
When NOT to use synto
- When you need cloud-based backup or sharing features across devices that support collaborative editing off-site.
- If your workflow requires real-time synchronization and collaboration capabilities beyond a single device environment.
- For teams looking to integrate their Obsidian wikis with external knowledge bases, as Synto focuses solely on local data.
Choose deep-searcher if…
- License: deep-searcher is Apache-2.0, synto is MIT.
- Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm.
- Also covers AI Agents, Vector Databases.
- deep-searcher ships Docker support for self-hosted deployment.
- When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
When NOT to use deep-searcher
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems.
- Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kytmanov/synto) · observed Sep 20, 2026
- GitHub forks (kytmanov/synto) · observed Sep 20, 2026
- Last push (kytmanov/synto) · observed Sep 2, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Sep 20, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Sep 20, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: synto 255 · deep-searcher 8.1k (synced Sep 20, 2026).
Common questions
- What is the difference between synto and deep-searcher?
- synto: Local AI-powered markdown note management system for Obsidian. deep-searcher: Open Source Deep Research Alternative to Reason and Search on Private Data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose synto over deep-searcher?
- Choose synto over deep-searcher when License: synto is MIT, deep-searcher is Apache-2.0; Requirements: Min 2 GB RAM; Tags unique to synto: git-based-wiki, knowledge-base, llm-knowledge-base, llm-tools; Also covers Developer Tools; When you prefer to keep all your personal notes and insights strictly on your device without any cloud involvement.
- When should I choose deep-searcher over synto?
- Choose deep-searcher over synto when License: deep-searcher is Apache-2.0, synto is MIT; Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm; Also covers AI Agents, Vector Databases; deep-searcher ships Docker support for self-hosted deployment; When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
- When should I avoid synto?
- When you need cloud-based backup or sharing features across devices that support collaborative editing off-site. If your workflow requires real-time synchronization and collaboration capabilities beyond a single device environment. For teams looking to integrate their Obsidian wikis with external knowledge bases, as Synto focuses solely on local data.
- When should I avoid deep-searcher?
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
- Is synto or deep-searcher more popular on GitHub?
- deep-searcher has more GitHub stars (8,060 vs 255). Stars measure visibility, not whether either tool fits your constraints.
- Are synto and deep-searcher open source?
- Yes - both are open-source projects on GitHub (synto: MIT, deep-searcher: Apache-2.0).
- Where can I find alternatives to synto or deep-searcher?
- GraphCanon lists graph-backed alternatives at synto alternatives and deep-searcher alternatives (synto markdown twin, deep-searcher 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, synto or deep-searcher?
- synto: Active. deep-searcher: Slowing. 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 synto and deep-searcher?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: synto trust report; deep-searcher trust report.