Collective Intelligence Network
Collective Intelligence Network (CIN) is an idea to create autonomous agents that have their dynamic workflows
Framework Purpose & Vision
This framework was designed with three core principles in mind: simplicity, flexibility, and interoperability. My goal was to create a platform where autonomous agents can effectively tackle complex challenges either collabortively or individually, while meeting enterprise-grade requirements.
Built-in supported endpoints and models:
OpenAI https://api.openai.com/v1/chat/completions:
- "gpt-4o-2024-08-06" ✅
Anthropic "https://api.anthropic.com/v1/messages":
- "claude-3-5-sonnet-20241022" ✅
1 maintainer
Metadata
1 maintainer
Release files for cin 1.0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| cin-1.0.3.tar.gz | 15.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cin-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.5 kB
Release files / cin-1.0.3.tar.gz
| Download URL | cin-1.0.3.tar.gz |
|---|---|
| Size | 15.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/5.1.1 CPython/3.10.15
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Release files / cin-1.0.3-py3-none-any.whl
| Download URL | cin-1.0.3-py3-none-any.whl |
|---|---|
| Size | 13.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.15
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Security for cin 1.0.3
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