GraphCanon
Home/Compare/tree-of-thought-llm vs agentflow

Comparison

tree-of-thought-llm vs agentflow

Verdict

Pick tree-of-thought-llm if the 'Tree of Thoughts' approach provides a structured way to deliberate problem-solving using large language models and is well-suited for tasks requiring exploration through a tree-like structure; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.

Markdown twin · tree-of-thought-llm alternatives · agentflow alternatives

GraphCanon updated 4d

tree-of-thought-llm logo

tree-of-thought-llm

princeton-nlp/tree-of-thought-llm

★ 6.0kpushed Jan 16, 2025
vs
agentflow logo

agentflow

simonmesmith/agentflow

★ 320pushed Aug 11, 2023

Trust & integrity

Signaltree-of-thought-llmagentflow
Maintenance
Dormant (577d since push)
As of 4d · github_public_v1
Dormant (1100d since push)
As of 5d · github_public_v1
Provenance
Not a fork · Organization account
As of 4d · github_public_v1
Not a fork · Personal account
As of 5d · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
tree-of-thought-llm trust reportagentflow trust reportTrust methodology

Tagline

tree-of-thought-llm
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
agentflow
Complex LLM Workflows from Simple JSON

Stars

tree-of-thought-llm
6.0k
agentflow
320

Forks

tree-of-thought-llm
624
agentflow
27

Open issues

tree-of-thought-llm
8
agentflow
13

Language

tree-of-thought-llm
Python
agentflow
Python

Adopt for

tree-of-thought-llm
The 'Tree of Thoughts' approach provides a structured way to deliberate problem-solving using large language models and is well-suited for tasks requiring exploration through a tree-like structure.
agentflow
Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.

Persona

tree-of-thought-llm
-
agentflow
-

Runtime

tree-of-thought-llm
-
agentflow
-

License

tree-of-thought-llm
MIT
agentflow
MIT

Last pushed

tree-of-thought-llm
Jan 16, 2025
agentflow
Aug 11, 2023

Categories

tree-of-thought-llm
LLM Frameworks, Model Training
agentflow
AI Agents, LLM Frameworks

Trust and health

Days since push

tree-of-thought-llm
577d
agentflow
1100d

Open issues (now)

tree-of-thought-llm
8
agentflow
13

Stars delta

tree-of-thought-llm
+18 (30d)
agentflow
-1 (30d)

Owner type

tree-of-thought-llm
Organization
agentflow
User

OSV dependency advisories

tree-of-thought-llm
Published findings
agentflow
No lockfile (source not queried)

Full report

tree-of-thought-llm
Trust report
agentflow
Trust report

Shared compatibility

  • Python · tree-of-thought-llm: Python runtime · agentflow: Python runtime

Choose tree-of-thought-llm if…

  • Requirements: Min 4 GB RAM.
  • Tags unique to tree-of-thought-llm: llm, prompting, tree-of-thoughts, tree-search.
  • Also covers Model Training.
  • - Use 'tree-of-thought-llm' when you need an approach that handles deliberative reasoning problems, like the game of 24, leveraging large language models.

When NOT to use tree-of-thought-llm

  • - Avoid using 'tree-of-thought-llm' for problems that do not benefit from tree-like exploration or where the solution does not involve deliberate reasoning or step-by-step evaluation.
  • - If real-time decision-making is critical and computational resources are limited, this tool might be too slow due to its reliance on large language models like GPT-4 which may introduce latency.
GitHubDetails

Choose agentflow if…

  • Tags unique to agentflow: json, python, workflow-management.
  • Also covers AI Agents.
  • When you need to rapidly prototype LLM workflows with minimal coding via JSON configs

When NOT to use agentflow

  • Avoid if requiring advanced customization that goes beyond basic JSON configurations
  • Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
GitHubDetails

Explore

tree-of-thought-llm trust report →agentflow trust report →LLM Frameworks category →Model Training category →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: tree-of-thought-llm 6.0k · agentflow 320 (synced Aug 17, 2026).

Common questions

What is the difference between tree-of-thought-llm and agentflow?
tree-of-thought-llm: [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.
When should I choose tree-of-thought-llm over agentflow?
Choose tree-of-thought-llm over agentflow when Requirements: Min 4 GB RAM; Tags unique to tree-of-thought-llm: llm, prompting, tree-of-thoughts, tree-search; Also covers Model Training; - Use 'tree-of-thought-llm' when you need an approach that handles deliberative reasoning problems, like the game of 24, leveraging large language models.
When should I choose agentflow over tree-of-thought-llm?
Choose agentflow over tree-of-thought-llm when Tags unique to agentflow: json, python, workflow-management; Also covers AI Agents; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.
When should I avoid tree-of-thought-llm?
- Avoid using 'tree-of-thought-llm' for problems that do not benefit from tree-like exploration or where the solution does not involve deliberate reasoning or step-by-step evaluation. - If real-time decision-making is critical and computational resources are limited, this tool might be too slow due to its reliance on large language models like GPT-4 which may introduce latency.
When should I avoid agentflow?
Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
Is tree-of-thought-llm or agentflow more popular on GitHub?
tree-of-thought-llm has more GitHub stars (6,048 vs 320). Stars measure visibility, not whether either tool fits your constraints.
Are tree-of-thought-llm and agentflow open source?
Yes - both are open-source projects on GitHub (tree-of-thought-llm: MIT, agentflow: MIT).
Where can I find alternatives to tree-of-thought-llm or agentflow?
GraphCanon lists graph-backed alternatives at tree-of-thought-llm alternatives and agentflow alternatives (tree-of-thought-llm markdown twin, agentflow 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, tree-of-thought-llm or agentflow?
tree-of-thought-llm: Dormant. agentflow: Dormant. 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 tree-of-thought-llm and agentflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: tree-of-thought-llm trust report; agentflow trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.