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Anonymous builder2 months agoJudging locked: Self-Evolving Agents Hackathon

Gradient

Turn your digital interests into actionable plans

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Start with the source code, then open the demo or video if available.

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Project description
Turns classified Instagram-post data into interest plans, publishes `cited.md`, and evolves itself on real accept/reject feedback.  Python 3, one shared `venv/` - Flask — `webui.py`, localhost-only dashboard - Docker — self-hosted VectorAI DB container `mlx-community/Qwen3-30B-A3B-4bit` | `mlx_lm` | policy reclassification, taxonomy category naming, item tagging | | `nomic-ai/nomic-embed-text-v1.5` | `torch`/`transformers` | VectorAI DB embeddings (recall + clustering)  | Senso (`apiv2.senso.ai`) | ✅ real — KB ingest + grounding | | VectorAI DB (Actian, self-hosted) | ✅ real — episodic memory, taxonomy clustering | | Pioneer (`api.pioneer.ai`) | ✅ real API call every retrain pass, blocked by account billing — the actual retraining outcome comes from a local reimplementation instead | | Guild
Tools used
  • Actian logoActian
  • SSenso
| local JSONL stub, no key | |
Band
| not used — replaced with a local ACP-shaped orchestrator | |
Replay.io
| credentialed, unused | |
x402/CDP payments
| cosmetic banner only |
Project links
  • GitHub repository
Tools used
  • Actian logoActian
  • SSenso