Comparison
anything-llm vs valuecell
Verdict
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; 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 · anything-llm alternatives · valuecell alternatives
GraphCanon updated Oct 4, 2026
10views this month
Trust & integrity
| Signal | anything-llm | valuecell |
|---|---|---|
| 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 |
Tagline
- anything-llm
- Self-hosted AI agent experience
- valuecell
- Community-driven multi-agent platform for financial applications
Stars
- anything-llm
- 66k
- valuecell
- 11k
Forks
- anything-llm
- 7.3k
- valuecell
- 1.8k
Open issues
- anything-llm
- 315
- valuecell
- 64
Language
- anything-llm
- JavaScript
- valuecell
- Python
Adopt for
- 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.
- 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
- anything-llm
- -
- valuecell
- -
Runtime
- anything-llm
- -
- valuecell
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- valuecell
- The Apache-2.0 license allows for commercial and private use but requires preservation of the copyright notices and disclaimers.
Last pushed
- anything-llm
- Sep 17, 2026
- valuecell
- Mar 9, 2026
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- valuecell
- AI Agents
Trust and health
Maintenance
- anything-llm
- Very active (96%)
- valuecell
- Slowing (36%)
Days since push
- anything-llm
- 0d
- valuecell
- 194d
Open issues (now)
- anything-llm
- 315
- valuecell
- 64
Stars delta
- anything-llm
- +1.5k (30d)
- valuecell
- +57 (30d)
Open issues delta
- anything-llm
- -4 (30d)
- valuecell
- -1 (30d)
Full report
- anything-llm
- Trust report
- valuecell
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; valuecell is Python.
- License: anything-llm is MIT, valuecell is Apache-2.0.
- 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-workflow.
- Also covers Developer Tools, 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.
Choose valuecell if…
- valuecell is primarily Python; anything-llm is JavaScript.
- License: valuecell is Apache-2.0, anything-llm is MIT.
- 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: agents, 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (ValueCell-ai/valuecell) · observed Sep 20, 2026
- GitHub forks (ValueCell-ai/valuecell) · observed Sep 20, 2026
- Last push (ValueCell-ai/valuecell) · observed Mar 9, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
GitHub stars on cards: anything-llm 66k · valuecell 11k (synced Sep 20, 2026).
Common questions
- What is the difference between anything-llm and valuecell?
- anything-llm: Self-hosted AI agent experience. valuecell: Community-driven multi-agent platform for financial applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over valuecell?
- Choose anything-llm over valuecell when anything-llm is primarily JavaScript; valuecell is Python; License: anything-llm is MIT, valuecell is Apache-2.0; 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-workflow; Also covers Developer Tools, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose valuecell over anything-llm?
- Choose valuecell over anything-llm when valuecell is primarily Python; anything-llm is JavaScript; License: valuecell is Apache-2.0, anything-llm is MIT; 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: agents, 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 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.
- 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 anything-llm or valuecell more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 11,006). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and valuecell open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, valuecell: Apache-2.0).
- Where can I find alternatives to anything-llm or valuecell?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and valuecell alternatives (anything-llm 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, anything-llm or valuecell?
- anything-llm: 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 anything-llm and valuecell?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; valuecell trust report.