Comparison
witsy vs Agent
Verdict
Pick witsy if witsy is a desktop AI assistant and universal MCP client that supports numerous LLM providers. It requires users to have API keys for models they wish to use, but also supports local model running through Ollama; pick Agent if agent is an agentic AI harness for Mac Desktops providing integrated local and cloud-based LLM access via Swift.
Markdown twin · witsy alternatives · Agent alternatives
GraphCanon updated Sep 20, 2026
17views this month
Trust & integrity
| Signal | witsy | Agent |
|---|---|---|
| Maintenance | Slowing (149d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d 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 Aug 23, 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
- witsy
- Desktop AI Assistant and Universal MCP Client
- Agent
- Mac Agent for macOS 26: agentic AI harness for Mac Desktop with automation and scripting capabilities.
Stars
- witsy
- 2.0k
- Agent
- 616
Forks
- witsy
- 171
- Agent
- 67
Open issues
- witsy
- 60
- Agent
- 0
Language
- witsy
- TypeScript
- Agent
- Swift
Adopt for
- witsy
- Witsy is a desktop AI assistant and universal MCP client that supports numerous LLM providers. It requires users to have API keys for models they wish to use, but also supports local model running through Ollama.
- Agent
- Agent is an agentic AI harness for Mac Desktops providing integrated local and cloud-based LLM access via Swift and Apple's ecosystem focusing on automation and scripting.
Persona
- witsy
- -
- Agent
- -
Runtime
- witsy
- -
- Agent
- -
License
- witsy
- AGPL-3.0
- Agent
- MIT
Last pushed
- witsy
- Apr 23, 2026
- Agent
- Sep 20, 2026
Categories
- witsy
- AI Agents, Inference & Serving
- Agent
- AI Agents, Developer Tools
Trust and health
Maintenance
- witsy
- Slowing (36%)
- Agent
- Very active (96%)
Days since push
- witsy
- 149d
- Agent
- 0d
Open issues (now)
- witsy
- 60
- Agent
- 0
Stars delta
- witsy
- +10 (30d)
- Agent
- +50 (30d)
Open issues delta
- witsy
- +5 (30d)
- Agent
- -1 (30d)
Owner type
- witsy
- Organization
- Agent
- User
Full report
- witsy
- Trust report
- Agent
- Trust report
Choose witsy if…
- witsy is primarily TypeScript; Agent is Swift.
- License: witsy is AGPL-3.0, Agent is MIT.
- Tags unique to witsy: anthropic, deepseek, electronjs, gemini.
- Also covers Inference & Serving.
- witsy ships an MCP server manifest.
- If you need an AI solution that can integrate with almost any LLM provider via MCP servers.
When NOT to use witsy
- If you do not have existing API keys from LLM providers and are not interested in setting up a local model through Ollama.
- For users who require an out-of-the-box solution that does not necessitate managing multiple provider integrations or configurations for different services.
Choose Agent if…
- Agent is primarily Swift; witsy is TypeScript.
- License: Agent is MIT, witsy is AGPL-3.0.
- Tags unique to Agent: accessibility, agentic-framework, automation, coding.
- Also covers Developer Tools.
- When you are a developer working in the macOS environment and require seamless integration with Swift, SwiftUI, and Xcode for automating tasks or rapid prototyping involving large language models.
When NOT to use Agent
- If you are primarily working on Windows or Linux platforms as Agent is specifically designed to work with MacOS features and APIs.
- When the project requires real-time interaction in environments that do not support Swift or where JavaScript/node.js solutions are preferred over Mac-native alternatives.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Kochava-Studios/witsy) · observed Sep 20, 2026
- GitHub forks (Kochava-Studios/witsy) · observed Sep 20, 2026
- Last push (Kochava-Studios/witsy) · observed Apr 23, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (macOS26/Agent) · observed Sep 20, 2026
- GitHub forks (macOS26/Agent) · observed Sep 20, 2026
- Last push (macOS26/Agent) · observed Sep 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Aug 23, 2026
GitHub stars on cards: witsy 2.0k · Agent 616 (synced Sep 20, 2026).
Common questions
- What is the difference between witsy and Agent?
- witsy: Desktop AI Assistant and Universal MCP Client. Agent: Mac Agent for macOS 26: agentic AI harness for Mac Desktop with automation and scripting capabilities.. See the comparison table for live GitHub stats and shared categories.
- When should I choose witsy over Agent?
- Choose witsy over Agent when witsy is primarily TypeScript; Agent is Swift; License: witsy is AGPL-3.0, Agent is MIT; Tags unique to witsy: anthropic, deepseek, electronjs, gemini; Also covers Inference & Serving; witsy ships an MCP server manifest; If you need an AI solution that can integrate with almost any LLM provider via MCP servers.
- When should I choose Agent over witsy?
- Choose Agent over witsy when Agent is primarily Swift; witsy is TypeScript; License: Agent is MIT, witsy is AGPL-3.0; Tags unique to Agent: accessibility, agentic-framework, automation, coding; Also covers Developer Tools; When you are a developer working in the macOS environment and require seamless integration with Swift, SwiftUI, and Xcode for automating tasks or rapid prototyping involving large language models.
- When should I avoid witsy?
- If you do not have existing API keys from LLM providers and are not interested in setting up a local model through Ollama. For users who require an out-of-the-box solution that does not necessitate managing multiple provider integrations or configurations for different services.
- When should I avoid Agent?
- If you are primarily working on Windows or Linux platforms as Agent is specifically designed to work with MacOS features and APIs. When the project requires real-time interaction in environments that do not support Swift or where JavaScript/node.js solutions are preferred over Mac-native alternatives.
- Is witsy or Agent more popular on GitHub?
- witsy has more GitHub stars (2,026 vs 616). Stars measure visibility, not whether either tool fits your constraints.
- Are witsy and Agent open source?
- Yes - both are open-source projects on GitHub (witsy: AGPL-3.0, Agent: MIT).
- Where can I find alternatives to witsy or Agent?
- GraphCanon lists graph-backed alternatives at witsy alternatives and Agent alternatives (witsy markdown twin, Agent 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, witsy or Agent?
- witsy: Slowing. Agent: 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 witsy and Agent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: witsy trust report; Agent trust report.