Home/Compare/CGraph vs anything-llm

Comparison

CGraph vs anything-llm

Verdict

Pick CGraph if cGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies; 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.

Markdown twin · CGraph alternatives · anything-llm alternatives

GraphCanon updated Sep 20, 2026

CGraph logo

CGraph

ChunelFeng/CGraph

2.3kpushed Sep 7, 2026
vs
anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

66kpushed Sep 17, 2026

Trust & integrity

SignalCGraphanything-llm
Maintenance
Active (9d since push)
As of Sep 17, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 17, 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 15, 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

CGraph
A common used C++ & Python DAG framework
anything-llm
Self-hosted AI agent experience

Stars

CGraph
2.3k
anything-llm
66k

Forks

CGraph
390
anything-llm
7.3k

Open issues

CGraph
11
anything-llm
315

Language

CGraph
C++
anything-llm
JavaScript

Adopt for

CGraph
CGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies.
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

CGraph
-
anything-llm
-

Runtime

CGraph
-
anything-llm
-

License

CGraph
MIT
anything-llm
MIT License, allowing for free use, modification, and distribution.

Last pushed

CGraph
Sep 7, 2026
anything-llm
Sep 17, 2026

Categories

CGraph
Developer Tools
anything-llm
AI Agents, Developer Tools, Inference & Serving

Trust and health

Maintenance

CGraph
Active (82%)
anything-llm
Very active (96%)

Days since push

CGraph
9d
anything-llm
0d

Open issues (now)

CGraph
11
anything-llm
315

Stars delta

CGraph
+8 (30d)
anything-llm
+1.5k (30d)

Open issues delta

CGraph
-3 (30d)
anything-llm
-4 (30d)

Owner type

CGraph
User
anything-llm
Organization

Full report

anything-llm
Trust report

Choose CGraph if…

  • CGraph is primarily C++; anything-llm is JavaScript.
  • Pricing: Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes..
  • Requirements: Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage..
  • Tags unique to CGraph: ai, dag, graph, pipeline.
  • Use CGraph when you need a cross-platform DAG framework that supports constructing custom operators directly in C++.

When NOT to use CGraph

  • Avoid using CGraph when your workflow primarily involves tasks that are better suited for language ecosystems outside of C++ and Python, such as Java or JavaScript.
  • Do not use this framework if you require specialized features provided by specific third-party libraries that enhance or tailor the capabilities beyond what pure C++ offers.

Choose anything-llm if…

  • anything-llm is primarily JavaScript; CGraph 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 on cards: CGraph 2.3k · anything-llm 66k (synced Sep 20, 2026).

Common questions

What is the difference between CGraph and anything-llm?
CGraph: A common used C++ & Python DAG framework. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories.
When should I choose CGraph over anything-llm?
Choose CGraph over anything-llm when CGraph is primarily C++; anything-llm is JavaScript; Pricing: Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes.; Requirements: Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage.; Tags unique to CGraph: ai, dag, graph, pipeline; Use CGraph when you need a cross-platform DAG framework that supports constructing custom operators directly in C++.
When should I choose anything-llm over CGraph?
Choose anything-llm over CGraph when anything-llm is primarily JavaScript; CGraph 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 CGraph?
Avoid using CGraph when your workflow primarily involves tasks that are better suited for language ecosystems outside of C++ and Python, such as Java or JavaScript. Do not use this framework if you require specialized features provided by specific third-party libraries that enhance or tailor the capabilities beyond what pure C++ offers.
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 CGraph or anything-llm more popular on GitHub?
anything-llm has more GitHub stars (66,167 vs 2,302). Stars measure visibility, not whether either tool fits your constraints.
Are CGraph and anything-llm open source?
Yes - both are open-source projects on GitHub (CGraph: MIT, anything-llm: MIT).
Where can I find alternatives to CGraph or anything-llm?
GraphCanon lists graph-backed alternatives at CGraph alternatives and anything-llm alternatives (CGraph 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, CGraph or anything-llm?
CGraph: 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 CGraph and anything-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CGraph trust report; anything-llm trust report.

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