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Comparison

AutoGPT vs valuecell

Verdict

Pick AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options; pick valuecell if valueCell is a Python-based community-driven platform designed for developing and deploying AI agents in financial domains such as equity, crypto, and stock-market investments.

Markdown twin · AutoGPT alternatives · valuecell alternatives

GraphCanon updated Oct 4, 2026

11views this month

AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 187kpushed Sep 18, 2026
vs
valuecell logo

valuecell

ValueCell-ai/valuecell

★ 11kpushed Mar 9, 2026

Trust & integrity

SignalAutoGPTvaluecell
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (194d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Oct 4, 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
AutoGPT trust reportvaluecell trust reportTrust methodology

Tagline

AutoGPT
Accessible AI for everyone, providing tools for focus on what matters
valuecell
Community-driven multi-agent platform for financial applications

Stars

AutoGPT
187k
valuecell
11k

Forks

AutoGPT
46k
valuecell
1.8k

Open issues

AutoGPT
593
valuecell
64

Language

AutoGPT
Python
valuecell
Python

Adopt for

AutoGPT
AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
valuecell
ValueCell is a Python-based community-driven platform designed for developing and deploying AI agents in financial domains such as equity, crypto, and stock-market investments.

Persona

AutoGPT
-
valuecell
-

Runtime

AutoGPT
-
valuecell
-

License

AutoGPT
AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all
valuecell
The Apache-2.0 license allows for commercial and private use but requires preservation of the copyright notices and disclaimers.

Last pushed

AutoGPT
Sep 18, 2026
valuecell
Mar 9, 2026

Categories

AutoGPT
AI Agents, Developer Tools
valuecell
AI Agents

Trust and health

Maintenance

AutoGPT
Very active (96%)
valuecell
Slowing (36%)

Days since push

AutoGPT
0d
valuecell
194d

Open issues (now)

AutoGPT
593
valuecell
64

Stars delta

AutoGPT
+801 (30d)
valuecell
+57 (30d)

Open issues delta

AutoGPT
+76 (30d)
valuecell
-1 (30d)

Full report

AutoGPT
Trust report
valuecell
Trust report

Choose AutoGPT if…

  • License: AutoGPT is Other, valuecell is Apache-2.0.
  • Tags unique to AutoGPT: ai, artificial-intelligence, autonomous-agents, claude.
  • Also covers Developer Tools.
  • When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.

When NOT to use AutoGPT

  • If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment.
  • When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you.
  • If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
GitHubDetails

Choose valuecell if…

  • License: valuecell is Apache-2.0, AutoGPT is Other.
  • Pricing: Free to start with potential paid tiers for advanced features or support, typical in open-source products complemented by business models..
  • Tags unique to valuecell: financial-applications, python.
  • When you require a tool specifically tuned towards the development of multi-agent systems within financial applications like stock markets or equity trades.

When NOT to use valuecell

  • For projects that need broad, non-financial domain-specific functionalities as ValueCell focuses on specialized finance-related operations.
  • If you seek a tool with a wider scope beyond the financial sector, such as healthcare or environmental monitoring, where other platforms might be more appropriate.
GitHubDetails

Explore

AutoGPT trust report →valuecell trust report →AI Agents category →Developer Tools 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: AutoGPT 187k · valuecell 11k (synced Sep 20, 2026).

Common questions

What is the difference between AutoGPT and valuecell?
AutoGPT: Accessible AI for everyone, providing tools for focus on what matters. valuecell: Community-driven multi-agent platform for financial applications. See the comparison table for live GitHub stats and shared categories.
When should I choose AutoGPT over valuecell?
Choose AutoGPT over valuecell when License: AutoGPT is Other, valuecell is Apache-2.0; Tags unique to AutoGPT: ai, artificial-intelligence, autonomous-agents, claude; Also covers Developer Tools; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
When should I choose valuecell over AutoGPT?
Choose valuecell over AutoGPT when License: valuecell is Apache-2.0, AutoGPT is Other; Pricing: Free to start with potential paid tiers for advanced features or support, typical in open-source products complemented by business models.; Tags unique to valuecell: financial-applications, python; When you require a tool specifically tuned towards the development of multi-agent systems within financial applications like stock markets or equity trades.
When should I avoid AutoGPT?
If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
When should I avoid valuecell?
For projects that need broad, non-financial domain-specific functionalities as ValueCell focuses on specialized finance-related operations. If you seek a tool with a wider scope beyond the financial sector, such as healthcare or environmental monitoring, where other platforms might be more appropriate.
Is AutoGPT or valuecell more popular on GitHub?
AutoGPT has more GitHub stars (187,424 vs 11,006). Stars measure visibility, not whether either tool fits your constraints.
Are AutoGPT and valuecell open source?
Yes - both are open-source projects on GitHub (AutoGPT: Other, valuecell: Apache-2.0).
Where can I find alternatives to AutoGPT or valuecell?
GraphCanon lists graph-backed alternatives at AutoGPT alternatives and valuecell alternatives (AutoGPT markdown twin, valuecell 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, AutoGPT or valuecell?
AutoGPT: Very active. valuecell: 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 AutoGPT and valuecell?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; valuecell trust report.

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