typedef-ai/fenic
Declarative context engineering for agents
Fenic helps AI practitioners refine the information their AI agents use, ensuring they receive precise, structured data rather than raw, verbose inputs. It takes diverse data sources like PDFs or conversation histories and applies transformations like summarization, extraction, and embedding to produce concise, typed information. This tool is ideal for AI developers or data scientists building sophisticated AI agents who need to manage their agent's context effectively.
444 stars.
Use this if you need to precisely control and optimize the information (context) your AI agents receive, reducing 'context bloat' and improving agent reasoning.
Not ideal if you are looking for a standalone AI agent framework, as fenic is a context layer designed to augment existing agent runtimes.
Stars
444
Forks
27
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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