Comparison
OpenAgentsControl vs anything-llm
Verdict
Pick OpenAgentsControl if openAgentsControl is an AI agent framework for plan-first development with support across TypeScript, Python, Go, and Rust. It offers automated testing, code review, and validation mechanisms; 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.
Markdown twin · OpenAgentsControl alternatives · anything-llm alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | OpenAgentsControl | anything-llm |
|---|---|---|
| Maintenance | Very active (6d since push) As of Sep 20, 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 20, 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
- OpenAgentsControl
- AI agent framework for plan-first development with multi-language support and automated code practices
- anything-llm
- Self-hosted AI agent experience
Stars
- OpenAgentsControl
- 4.9k
- anything-llm
- 66k
Forks
- OpenAgentsControl
- 401
- anything-llm
- 7.3k
Open issues
- OpenAgentsControl
- 68
- anything-llm
- 315
Language
- OpenAgentsControl
- TypeScript
- anything-llm
- JavaScript
Adopt for
- OpenAgentsControl
- OpenAgentsControl is an AI agent framework for plan-first development with support across TypeScript, Python, Go, and Rust. It offers automated testing, code review, and validation mechanisms.
- 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
- OpenAgentsControl
- -
- anything-llm
- -
Runtime
- OpenAgentsControl
- -
- anything-llm
- -
License
- OpenAgentsControl
- OpenAgentsControl is available under the MIT license.
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
Last pushed
- OpenAgentsControl
- Sep 13, 2026
- anything-llm
- Sep 17, 2026
Categories
- OpenAgentsControl
- AI Agents, Developer Tools
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
Trust and health
Days since push
- OpenAgentsControl
- 6d
- anything-llm
- 0d
Open issues (now)
- OpenAgentsControl
- 68
- anything-llm
- 315
Stars delta
- OpenAgentsControl
- +218 (30d)
- anything-llm
- +1.5k (30d)
Open issues delta
- OpenAgentsControl
- +13 (30d)
- anything-llm
- -4 (30d)
Owner type
- OpenAgentsControl
- User
- anything-llm
- Organization
Full report
- OpenAgentsControl
- Trust report
- anything-llm
- Trust report
Choose OpenAgentsControl if…
- OpenAgentsControl is primarily TypeScript; anything-llm is JavaScript.
- Pricing: The tool is free to use, but as it's not specified in the repository information provided, premium features or support could come with a cost..
- Tags unique to OpenAgentsControl: ai-agent, automation, code-generation, code-validation.
- Use OpenAgentsControl when you need a tool that supports approval-based execution for your AI agents in multi-language environments, particularly TypeScript, Python, Go, and Rust.
When NOT to use OpenAgentsControl
- Do not use OpenAgentsControl if you are working exclusively with languages or frameworks that are not supported, like Java or C# which are common choices.
- Avoid it if real-time monitoring of agent interactions is a priority for your project because it focuses more on approval-based execution and plan-first workflows.
Choose anything-llm if…
- anything-llm is primarily JavaScript; OpenAgentsControl is TypeScript.
- 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 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 (darrenhinde/OpenAgentsControl) · observed Sep 20, 2026
- GitHub forks (darrenhinde/OpenAgentsControl) · observed Sep 20, 2026
- Last push (darrenhinde/OpenAgentsControl) · observed Sep 13, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 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: OpenAgentsControl 4.9k · anything-llm 66k (synced Sep 20, 2026).
Common questions
- What is the difference between OpenAgentsControl and anything-llm?
- OpenAgentsControl: AI agent framework for plan-first development with multi-language support and automated code practices. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories.
- When should I choose OpenAgentsControl over anything-llm?
- Choose OpenAgentsControl over anything-llm when OpenAgentsControl is primarily TypeScript; anything-llm is JavaScript; Pricing: The tool is free to use, but as it's not specified in the repository information provided, premium features or support could come with a cost.; Tags unique to OpenAgentsControl: ai-agent, automation, code-generation, code-validation; Use OpenAgentsControl when you need a tool that supports approval-based execution for your AI agents in multi-language environments, particularly TypeScript, Python, Go, and Rust.
- When should I choose anything-llm over OpenAgentsControl?
- Choose anything-llm over OpenAgentsControl when anything-llm is primarily JavaScript; OpenAgentsControl is TypeScript; 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 Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
- When should I avoid OpenAgentsControl?
- Do not use OpenAgentsControl if you are working exclusively with languages or frameworks that are not supported, like Java or C# which are common choices. Avoid it if real-time monitoring of agent interactions is a priority for your project because it focuses more on approval-based execution and plan-first workflows.
- 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 OpenAgentsControl or anything-llm more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 4,862). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenAgentsControl and anything-llm open source?
- Yes - both are open-source projects on GitHub (OpenAgentsControl: MIT, anything-llm: MIT).
- Where can I find alternatives to OpenAgentsControl or anything-llm?
- GraphCanon lists graph-backed alternatives at OpenAgentsControl alternatives and anything-llm alternatives (OpenAgentsControl 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, OpenAgentsControl or anything-llm?
- OpenAgentsControl: Very 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 OpenAgentsControl and anything-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenAgentsControl trust report; anything-llm trust report.