Comparison
OpenDeepWiki vs anything-llm
Verdict
Pick OpenDeepWiki if openDeepWiki supports modular design for AI-related documentation management in C# and TypeScript; pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
Markdown twin · OpenDeepWiki alternatives · anything-llm alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | OpenDeepWiki | anything-llm |
|---|---|---|
| Maintenance | Active (10d since push) As of Sep 19, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- OpenDeepWiki
- A knowledge management and collaboration platform for AI development
- anything-llm
- Self-hosted AI agent experience
Stars
- OpenDeepWiki
- 3.6k
- anything-llm
- 66k
Forks
- OpenDeepWiki
- 457
- anything-llm
- 7.3k
Open issues
- OpenDeepWiki
- 22
- anything-llm
- 315
Language
- OpenDeepWiki
- C#
- anything-llm
- JavaScript
Adopt for
- OpenDeepWiki
- OpenDeepWiki supports modular design for AI-related documentation management in C# and TypeScript.
- anything-llm
- anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
Persona
- OpenDeepWiki
- -
- anything-llm
- -
Runtime
- OpenDeepWiki
- -
- anything-llm
- -
License
- OpenDeepWiki
- MIT License for open-source use and modification.
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
Last pushed
- OpenDeepWiki
- Sep 8, 2026
- anything-llm
- Sep 17, 2026
Categories
- OpenDeepWiki
- Developer Tools
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
Trust and health
Maintenance
- OpenDeepWiki
- Active (82%)
- anything-llm
- Very active (96%)
Days since push
- OpenDeepWiki
- 10d
- anything-llm
- 0d
Open issues (now)
- OpenDeepWiki
- 22
- anything-llm
- 315
Stars delta
- OpenDeepWiki
- +150 (30d)
- anything-llm
- +1.5k (30d)
Open issues delta
- OpenDeepWiki
- -3 (30d)
- anything-llm
- -4 (30d)
Full report
- OpenDeepWiki
- Trust report
- anything-llm
- Trust report
Choose OpenDeepWiki if…
- OpenDeepWiki is primarily C#; anything-llm is JavaScript.
- Pricing: Freely available with options for premium support or services.
- Requirements: Min 4 GB RAM.
- Tags unique to OpenDeepWiki: chatgpt, deepwiki, docs, fine-tuning.
- If you need support for C# and TypeScript specifically in your knowledge management setup
When NOT to use OpenDeepWiki
- For teams preferring exclusively non-.NET languages, given its heavy use of C#
- Projects requiring proprietary licensing where MIT is not suitable
Choose anything-llm if…
- anything-llm is primarily JavaScript; OpenDeepWiki is C#.
- Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
- Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
- Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
- Also covers AI Agents, Inference & Serving.
- When you need a local-first AI agent experience that you can fully control and customize.
When NOT to use anything-llm
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
- When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AIDotNet/OpenDeepWiki) · observed Sep 20, 2026
- GitHub forks (AIDotNet/OpenDeepWiki) · observed Sep 20, 2026
- Last push (AIDotNet/OpenDeepWiki) · observed Sep 8, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: OpenDeepWiki 3.6k · anything-llm 66k (synced Sep 20, 2026).
Common questions
- What is the difference between OpenDeepWiki and anything-llm?
- OpenDeepWiki: A knowledge management and collaboration platform for AI development. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories.
- When should I choose OpenDeepWiki over anything-llm?
- Choose OpenDeepWiki over anything-llm when OpenDeepWiki is primarily C#; anything-llm is JavaScript; Pricing: Freely available with options for premium support or services; Requirements: Min 4 GB RAM; Tags unique to OpenDeepWiki: chatgpt, deepwiki, docs, fine-tuning; If you need support for C# and TypeScript specifically in your knowledge management setup.
- When should I choose anything-llm over OpenDeepWiki?
- Choose anything-llm over OpenDeepWiki when anything-llm is primarily JavaScript; OpenDeepWiki is C#; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
- When should I avoid OpenDeepWiki?
- For teams preferring exclusively non-.NET languages, given its heavy use of C# Projects requiring proprietary licensing where MIT is not suitable
- When should I avoid anything-llm?
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
- Is OpenDeepWiki or anything-llm more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 3,594). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenDeepWiki and anything-llm open source?
- Yes - both are open-source projects on GitHub (OpenDeepWiki: MIT, anything-llm: MIT).
- Where can I find alternatives to OpenDeepWiki or anything-llm?
- GraphCanon lists graph-backed alternatives at OpenDeepWiki alternatives and anything-llm alternatives (OpenDeepWiki markdown twin, anything-llm 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, OpenDeepWiki or anything-llm?
- OpenDeepWiki: Active. anything-llm: Very 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 OpenDeepWiki and anything-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenDeepWiki trust report; anything-llm trust report.