typedef-ai / fenic
Semantic DataFrames for humans and agents
Why this job: matched by what the repo talks about: agent, human, semantic
What it does
It's a DataFrame query engine for semantic data processing, with AI operators — extract, classify, summarize, embed, semantic join, and more — built into the query model. Use it to turn documents, transcripts, logs, eval traces, tickets, tables, and APIs into typed rows and repeatable workflows.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 29 days ago
- Stars
- 680
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.13.0
- Released 2 months ago
- Built with
- Python
- 94% of the code
Is it looked after?
- Contributors
- 6
- Last 90 days
- Issues
- 47% closed
- 8 still open
- Pull requests
- 303 merged
- 16 waiting
- Releases
- 20
- 8 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 94%
- Rust 6%
- Just <1%
- Shell <1%
Topics
- agents
- ai
- llm
- ai-agents
Project record
- JobAgent frameworks
- StatusListed
- Commits303
- Forks49
- Watching2
- Stars in 28 days+7
- CreatedJun 16, 2025
- First seen by usNov 7, 2026
- CheckedNov 12, 2026