OpenFang vs Poke
Side-by-side comparison of two agent options that often come up together when people are choosing between self-hosted frameworks, managed assistants, and extensible AI tooling.
Open source17k stars
OpenFang
Open-source Agent OS built in Rust — autonomous agents on schedules with 40 channel adapters
Closed sourceN/A stars
Poke
Consumer-friendly proactive AI assistant via iMessage/SMS/Telegram
Category
OpenFang
Poke
Tagline
Open-source Agent OS built in Rust — autonomous agents on schedules with 40 channel adapters
Consumer-friendly proactive AI assistant via iMessage/SMS/Telegram
Deployment
Self-Hosted
Managed SaaS
Pricing
Free to use, with optional model or infrastructure costs if you self-host.
Mid-tier paid pricing that fits regular professional use better than hobby use.
Channels
Telegram, Discord, Slack, WhatsApp, Web
iMessage, SMS, WhatsApp, Email
Open source
Yes
No
Privacy
Very strong privacy posture with local-first or tightly controlled deployment options.
Some privacy controls exist, but vendor-hosted infrastructure still handles a meaningful share of the data flow.
OpenFang pros
- Open source with transparent code and flexible deployment options.
- Security posture is strong for sensitive workflows.
- Strong privacy story for users who care where data runs.
Poke pros
- Can handle meaningful autonomous work instead of acting only as a reactive chatbot.
OpenFang cons
- Trade-offs are moderate rather than severe, but it does not stand out sharply on every dimension.
Poke cons
- Closed-source offering, so portability and vendor transparency are limited.
- Privacy controls are limited compared to self-hosted alternatives.
OpenFang gotchas
- You should expect ongoing hosting, uptime, and secret-management work if you deploy it for real users.
Poke gotchas
- Recurring subscription or model spend can matter more than the headline feature list.
Not sure which one fits you?
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