Status basis: github_stars gained 81 in the last 3d vs 15 in the 3d before (ratio 5.4x, threshold 1.5x)
- Accelerating github_stars gained 81 in the last 3d vs 15 in the 3d before (ratio 5.4x, threshold 1.5x)
- Anomaly daily change 60.0 is 12.8 standard deviations from this entity's own prior mean (3.4±4.4, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -16 per 3d from 462 (<= 40% of the prior window)
- Anomaly daily change 18.0 is 6.5 standard deviations from this entity's own prior mean (2.5±2.4, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -18 per 3d from 462 (<= 40% of the prior window)
- Accelerating github_stars gained 33 in the last 3d vs 16 in the 3d before (ratio 2.1x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -18 per 3d from 462 (<= 40% of the prior window)
- Accelerating github_stars gained 21 in the last 3d vs 9 in the 3d before (ratio 2.3x, threshold 1.5x)
- Anomaly daily change 18.0 is 6.5 standard deviations from this entity's own prior mean (2.5±2.4, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 18 in the last 3d vs 10 in the 3d before (ratio 1.8x, threshold 1.5x)
- Accelerating github_stars gained 18 in the last 3d vs 10 in the 3d before (ratio 1.8x, threshold 1.5x)
- Accelerating github_stars gained 15 in the last 3d vs 9 in the 3d before (ratio 1.7x, threshold 1.5x)
- Accelerating github_stars gained 16 in the last 3d vs 6 in the 3d before (ratio 2.7x, threshold 1.5x)
- Accelerating github_stars gained 14 in the last 3d vs 2 in the 3d before (ratio 7.0x, threshold 1.5x)
- Accelerating github_stars gained 9 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating github_stars gained 9 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | 3 | inferred | 3 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | claude-code,codex,openclaw,opencode | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
Its multi-agent collaboration model with shared context and support for diverse LLMs offers a novel approach to organizing AI work, making it a promising blueprint for AI-powered development workflows
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Runs local, on your machine, on your account.”— readme
“its own screen, its own schedule, its own tools”— readme
“your AI builds the agent that runs it”— readme
“its own schedule”— readme
“Supports Claude Code, Codex, OpenClaw, OpenCode, local LLMs.”— description
FAQ
What is gawkbot?
Gawkbot lets developers and small teams build a collaborative AI workforce where multiple AI agents work together on projects using shared context and support for various large language models.
What does gawkbot do?
To coordinate multiple AI assistants to jointly complete complex development tasks within a shared project context.
Why does gawkbot matter?
Its multi-agent collaboration model with shared context and support for diverse LLMs offers a novel approach to organizing AI work, making it a promising blueprint for AI-powered development workflows
How much does gawkbot cost?
Free self-hosted
Is gawkbot free?
Yes — gawkbot has a free tier. Pricing as stated on its own page: Free self-hosted
Is gawkbot open source?
Yes — gawkbot is open source.
Can I self-host gawkbot?
Yes — gawkbot can be self-hosted.
What does gawkbot integrate with?
claude-code,codex,openclaw,opencode
How popular is gawkbot?
As tracked by KanonAgent: 1.4k upvotes (first indexed 2026-08-25).
What are the best gawkbot alternatives?
Similar AI agents tracked by KanonAgent: langchain, BIG, claude-mem, AEO Engine, autogen, POST BRIDGE.