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ChesterRaAI agents co-driving repositories through collaborative planning and critique
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Summary
ChesterRa/cccc is a local-first, multi-agent collaboration kernel orchestrating AI agents for continuous code delivery. It enables AI peers to co-drive repositories, handling planning, building, and critique autonomously. Control is via an interactive Web UI or team chat integrations (Telegram, Slack, Discord), positioning it as a production-minded orchestrator.
How It Works
The 0.4.x rewrite features a daemon-based architecture with a central ccccd daemon managing multiple agent runtimes within "working groups." Each group uses an append-only ledger as its single source of truth, ensuring durable history and reducing latency. Agents interact via an MCP tool surface for reliable message delivery and system control. A mobile-first Web UI serves as the primary control plane, complemented by IM bridges for chat integration. This approach overcomes v0.3.x limitations like fragmented messages and limited actor scaling.
Quick Start & Requirements
python -m pip install --index-url https://pypi.org/simple \
--extra-index-url https://test.pypi.org/simple \
cccc-pair==0.4.0rc16
cccc attach ., cccc setup --runtime <name>, cccc actor add ..., cccc group start, then cccc daemon start and cccc web. Access UI at http://127.0.0.1:8848/.docs/vnext/README.md, docs/vnext/ARCHITECTURE.md.Highlighted Details
PROJECT.md at scope root as project guidelines.Maintenance & Community
The project is in Release Candidate (RC) status (v0.4.0rc16), indicating active development and potential breaking changes. Specific community channels or maintainer details were not provided in the excerpt.
Licensing & Compatibility
Licensed under Apache-2.0, permissive for commercial use and closed-source linking.
Limitations & Caveats
The 0.4.x line is RC, with potential breaking changes. Requires a long-lived local daemon (ccccd). Native Windows PTY requires WSL. Remote Web UI access needs robust security (access gateways, authentication).
3 days ago
Inactive
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