🧰ChatDev 2.0
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
⭐ Very popular: 34k stars, gaining about 52 a week
View on GitHub ↗repo profile
momentum
durability
bus factor = how many people it takes to cover more than half the commits (6 months). 1 is a solo project; higher means the work is spread across a team. top-author share is the single busiest author's slice of those commits.
since we covered it
why it's a big deal
- It went from “fun research demo” to a general-purpose agent orchestration layer - you can wire up multi-agent pipelines for data analysis, content generation, or any structured task, not just coding.
- YAML-based workflow definitions mean non-developers can build and modify agent pipelines without touching Python.
- The MacNet branch supports collaboration topologies with 1,000+ agents without blowing context limits, backed by an ICLR 2025 paper.
under the hood
- Built in Python with a ChatChain architecture that composes Phases (units of work) into configurable pipelines, each with its own agent roles and prompts.
- Ships a web visualizer that replays agent conversations and renders the full workflow as an interactive diagram.
- Supports per-phase LLM routing (different models for different agent roles) and includes Git-mode for automatic version control of generated artifacts.
our take from PR#27, 2026-02-11
star history
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Better known than its recent output, coasting a little on attention.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
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Zero-code multi-agent orchestration platform
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Virtual software company powered by LLM agents
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