Comparison
code-mode vs agents
Verdict
Pick code-mode if code-mode is a TypeScript library designed to enable AI agents to interact with MCP and UTCP tools through code execution; 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 · code-mode alternatives · agents alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | code-mode | agents |
|---|---|---|
| Maintenance | Steady (38d since push) As of 4w · github_public_v1 | Very active (1d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 6d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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 |
Tagline
- code-mode
- Plug-and-play library enabling agents to call MCP and UTCP tools via code execution
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- code-mode
- 1.5k
- agents
- 39k
Forks
- code-mode
- 98
- agents
- 4.1k
Open issues
- code-mode
- 3
- agents
- 5
Language
- code-mode
- TypeScript
- agents
- Python
Adopt for
- code-mode
- Code-mode is a TypeScript library designed to enable AI agents to interact with MCP and UTCP tools through code execution.
- 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
- code-mode
- -
- agents
- -
Runtime
- code-mode
- -
- agents
- -
License
- code-mode
- The MPL-2.0 license applies to Code-mode, offering flexibility while requiring that any changes made to the code are accessible under similar licensing terms.
- agents
- MIT
Last pushed
- code-mode
- Jun 18, 2026
- agents
- Aug 18, 2026
Categories
- code-mode
- AI Agents, Developer Tools
- agents
- AI Agents, Developer Tools
Trust and health
Maintenance
- code-mode
- Steady (60%)
- agents
- Very active (96%)
Days since push
- code-mode
- 38d
- agents
- 1d
Open issues (now)
- code-mode
- 3
- agents
- 5
Stars delta
- code-mode
- Unknown
- agents
- +860 (30d)
Open issues delta
- code-mode
- Unknown
- agents
- +2 (30d)
Owner type
- code-mode
- Organization
- agents
- User
Full report
- code-mode
- Trust report
- agents
- Trust report
Choose code-mode if…
- code-mode is primarily TypeScript; agents is Python.
- License: code-mode is MPL-2.0, agents is MIT.
- Pricing: Code-mode is free and open-source under the MPL-2.0 license. Potential premium features or support may be offered by contributors..
- Requirements: A TypeScript runtime environment is necessary to use Code-mode.; Compatibility with current AI agents and tools that follow the MCP and UTCP protocols may be required..
- Tags unique to code-mode: ai-agents, codemode, mcp, model-context-protocol.
- Use Code-mode when you need seamless integration between AI agents and specific tool protocols like MCP and UTCP via code-based interactions.
When NOT to use code-mode
- Avoid Code-mode if your project does not require interaction with MCP or UTCP tools as integration may offer less value.
- Do not use Code-mode if another programming language is required for your project, as it exclusively supports TypeScript.
Choose agents if…
- agents is primarily Python; code-mode is TypeScript.
- License: agents is MIT, code-mode is MPL-2.0.
- Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
- 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 (universal-tool-calling-protocol/code-mode) · observed Jul 27, 2026
- GitHub forks (universal-tool-calling-protocol/code-mode) · observed Jul 27, 2026
- Last push (universal-tool-calling-protocol/code-mode) · observed Jun 18, 2026
- License file (MPL-2.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 12, 2026
- GitHub stars (wshobson/agents) · observed Aug 19, 2026
- GitHub forks (wshobson/agents) · observed Aug 19, 2026
- Last push (wshobson/agents) · observed Aug 18, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: code-mode 1.5k · agents 39k (synced Jul 27, 2026).
Common questions
- What is the difference between code-mode and agents?
- code-mode: Plug-and-play library enabling agents to call MCP and UTCP tools via code execution. 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 code-mode over agents?
- Choose code-mode over agents when code-mode is primarily TypeScript; agents is Python; License: code-mode is MPL-2.0, agents is MIT; Pricing: Code-mode is free and open-source under the MPL-2.0 license. Potential premium features or support may be offered by contributors.; Requirements: A TypeScript runtime environment is necessary to use Code-mode.; Compatibility with current AI agents and tools that follow the MCP and UTCP protocols may be required.; Tags unique to code-mode: ai-agents, codemode, mcp, model-context-protocol; Use Code-mode when you need seamless integration between AI agents and specific tool protocols like MCP and UTCP via code-based interactions.
- When should I choose agents over code-mode?
- Choose agents over code-mode when agents is primarily Python; code-mode is TypeScript; License: agents is MIT, code-mode is MPL-2.0; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; 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 code-mode?
- Avoid Code-mode if your project does not require interaction with MCP or UTCP tools as integration may offer less value. Do not use Code-mode if another programming language is required for your project, as it exclusively supports TypeScript.
- 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 code-mode or agents more popular on GitHub?
- agents has more GitHub stars (38,928 vs 1,519). Stars measure visibility, not whether either tool fits your constraints.
- Are code-mode and agents open source?
- Yes - both are open-source projects on GitHub (code-mode: MPL-2.0, agents: MIT).
- Where can I find alternatives to code-mode or agents?
- GraphCanon lists graph-backed alternatives at code-mode alternatives and agents alternatives (code-mode 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, code-mode or agents?
- code-mode: Steady. 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 code-mode and agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-mode trust report; agents trust report.