GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
47views this month
Decision brief
Waggle-dance is an AI-driven knowledge work automation tool built in TypeScript with experimental concurrent agent execution for faster task resolution.
Good fit when
- You need a system that prioritizes speed and concurrency in executing tasks
- You prefer a TypeScript project over Python alternatives in the same category
Avoid when
- Your project demands high stability over experimental features
- You require extensive customization of agent execution behavior beyond what Waggle-dance offers initially
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (171) are secondary evidence.
- npm downloads (30d)
- 35·npm downloads API·Sep 20, 2026
Maintenance and security
Full trust report- Maintenance
- Archived (1007d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install waggle-danceSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Automates knowledge work using an agent-based framework that includes Planner Agents, Execution Agents, and Criticism Agents to achieve user-specified goals.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Sep 20, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Sep 20, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
ity_, and _simplicity_. Additionally, many other agentic systems are written in Python, so this project acts as a small counter-balance, and is accessible to the largSource link
Tags
README
Quick Start Try the cloud preview ↗ Join the Discord ⭐️ Help with algorithm: star this repo You can also build and deploy yourself! However, you must configure your environment. <a href="https://vercel.com/new/clone?repository url=https%3A%2F%2Fgithub.com%2Fagi merge%2Fwaggle dan...
For agents
This page has a .md twin and JSON over the API.