Status basis: github_stars momentum fell to 0 per 3d from 50 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 50 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 50 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 6 per 3d from 44 (<= 40% of the prior window)
- Accelerating github_stars gained 50 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling github_stars momentum fell to 6 per 3d from 44 (<= 40% of the prior window)
- Accelerating github_stars gained 50 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating github_stars gained 45 in the last 3d vs 3 in the 3d before (ratio 15.0x, threshold 1.5x)
- Cooling github_stars momentum fell to 0 per 3d from 117 (<= 40% of the prior window)
- Accelerating github_stars gained 44 in the last 3d vs 3 in the 3d before (ratio 14.7x, threshold 1.5x)
- Cooling github_stars momentum fell to 0 per 3d from 117 (<= 40% of the prior window)
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 2 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It fills a critical gap in privacy-focused AI by offering offline, self-contained agent execution with long-term memory and identity control.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Agents, memory, tools, and identity that live on your Mac”— description
“persistent memory, autonomous execution”— description
“MCP-server-0A7CFF”— readme
“The native macOS harness for AI agents”— topics
FAQ
What is osaurus?
osaurus is a native macOS app that runs AI agents offline with persistent memory, autonomous behavior, and cryptographic identity for privacy-first workflows.
What does osaurus do?
Run AI agents locally on macOS with persistent memory, autonomous execution, and encrypted identity, fully offline.
Why does osaurus matter?
It fills a critical gap in privacy-focused AI by offering offline, self-contained agent execution with long-term memory and identity control.
How much does osaurus cost?
Free (open-source)
Is osaurus free?
Yes — osaurus has a free tier. Pricing as stated on its own page: Free (open-source)
Is osaurus open source?
Yes — osaurus is open source.
What does osaurus integrate with?
mcp
How popular is osaurus?
As tracked by KanonAgent: 7 upvotes (first indexed 2026-07-08).
What are the best osaurus alternatives?
Similar AI agents tracked by KanonAgent: open-design, deer-flow, Agent-Reach, ruflo, career-ops, orca.