Comparison
open-multi-agent vs agents
Verdict
Pick open-multi-agent if provides TypeScript-based orchestration for dynamic AI workflows with support for multiple language models including open platforms; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot.
Markdown twin · open-multi-agent alternatives · agents alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | open-multi-agent | agents |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 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 Jul 11, 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
- open-multi-agent
- Orchestrates AI agents with dynamic workflows via runtime task planning.
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- open-multi-agent
- 6.9k
- agents
- 40k
Forks
- open-multi-agent
- 2.4k
- agents
- 4.2k
Open issues
- open-multi-agent
- 4
- agents
- 12
Language
- open-multi-agent
- TypeScript
- agents
- Python
Adopt for
- open-multi-agent
- Provides TypeScript-based orchestration for dynamic AI workflows with support for multiple language models including open platforms.
- agents
- The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot
Persona
- open-multi-agent
- -
- agents
- -
Runtime
- open-multi-agent
- -
- agents
- -
License
- open-multi-agent
- MIT License
- agents
- MIT
Last pushed
- open-multi-agent
- Sep 18, 2026
- agents
- Sep 19, 2026
Categories
- open-multi-agent
- AI Agents, Developer Tools
- agents
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- open-multi-agent
- 4
- agents
- 12
Stars delta
- open-multi-agent
- +175 (30d)
- agents
- +895 (30d)
Open issues delta
- open-multi-agent
- -7 (30d)
- agents
- +7 (30d)
Owner type
- open-multi-agent
- Organization
- agents
- User
Full report
- open-multi-agent
- Trust report
- agents
- Trust report
Choose open-multi-agent if…
- open-multi-agent is primarily TypeScript; agents is Python.
- Tags unique to open-multi-agent: agent-framework, agent-orchestration, ai-agents, anthropic.
- - When you need to dynamically plan task DAGs (Directed Acyclic Graphs) at runtime and execute them across different LLMs, such as Claude or ChatGPT.
When NOT to use open-multi-agent
- - Avoid using open-multi-agent if you are looking for a ready-to-use solution for simple scripts or single-model tasks where runtime planning is not required.
- - Do not use this framework if your application strictly requires support for proprietary or custom language models not listed as supported options.
Choose agents if…
- agents is primarily Python; open-multi-agent is TypeScript.
- Tags unique to agents: agent-skills, automation, prompt-engineering, workflows.
- You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments
When NOT to use agents
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
- Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (open-multi-agent/open-multi-agent) · observed Sep 20, 2026
- GitHub forks (open-multi-agent/open-multi-agent) · observed Sep 20, 2026
- Last push (open-multi-agent/open-multi-agent) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (wshobson/agents) · observed Sep 20, 2026
- GitHub forks (wshobson/agents) · observed Sep 20, 2026
- Last push (wshobson/agents) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: open-multi-agent 6.9k · agents 40k (synced Sep 20, 2026).
Common questions
- What is the difference between open-multi-agent and agents?
- open-multi-agent: Orchestrates AI agents with dynamic workflows via runtime task planning.. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose open-multi-agent over agents?
- Choose open-multi-agent over agents when open-multi-agent is primarily TypeScript; agents is Python; Tags unique to open-multi-agent: agent-framework, agent-orchestration, ai-agents, anthropic; - When you need to dynamically plan task DAGs (Directed Acyclic Graphs) at runtime and execute them across different LLMs, such as Claude or ChatGPT.
- When should I choose agents over open-multi-agent?
- Choose agents over open-multi-agent when agents is primarily Python; open-multi-agent is TypeScript; Tags unique to agents: agent-skills, automation, prompt-engineering, workflows; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
- When should I avoid open-multi-agent?
- - Avoid using open-multi-agent if you are looking for a ready-to-use solution for simple scripts or single-model tasks where runtime planning is not required. - Do not use this framework if your application strictly requires support for proprietary or custom language models not listed as supported options.
- When should I avoid agents?
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
- Is open-multi-agent or agents more popular on GitHub?
- agents has more GitHub stars (39,823 vs 6,943). Stars measure visibility, not whether either tool fits your constraints.
- Are open-multi-agent and agents open source?
- Yes - both are open-source projects on GitHub (open-multi-agent: MIT, agents: MIT).
- Where can I find alternatives to open-multi-agent or agents?
- GraphCanon lists graph-backed alternatives at open-multi-agent alternatives and agents alternatives (open-multi-agent markdown twin, agents 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, open-multi-agent or agents?
- open-multi-agent: Very active. agents: 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 open-multi-agent and agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-multi-agent trust report; agents trust report.