p-funk/fegis
Define AI tools in YAML with natural language schemas. All tool usage is automatically stored in Qdrant vector database, enabling semantic search, filtering, and memory retrieval across sessions.
This project helps AI developers give their large language models (LLMs) new abilities by defining custom tools in a simple, human-readable YAML format. These tools take natural language instructions and provide structured outputs. Every time an LLM uses one of these tools, the interaction is automatically saved, creating a searchable memory that the AI can recall and reuse in future sessions.
No commits in the last 6 months.
Use this if you are building an AI agent and need to equip it with custom functionalities, want to ensure all tool usage is automatically logged, and require your AI to have a persistent, searchable memory of its past actions and insights.
Not ideal if you are an end-user without programming experience looking for a ready-to-use AI application, or if you don't need your AI to retain and recall its specific past interactions.
Stars
22
Forks
7
Language
Python
License
MIT
Category
Last pushed
Jul 05, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/p-funk/fegis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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