antoinezambelli / forge
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
Why this job: topics: agentic-workflow, tool-calling, function-calling, agents, agentic-ai
What it does
A reliability layer for self-hosted LLM tool-calling. You give forge a set of tools; the model calls whichever it wants in whatever order. Workflow structure is opt-in — required_steps, prerequisites, and terminal_tool let you constrain the loop when you need to, but forge's guardrails (rescue parsing, retry nudges, response validation) apply with zero required steps too.
Get started
pip install forge-guardrails
# core only
pip install "forge-guardrails[anthropic]"
# supported alias; client uses core HTTP dependencies- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 2,267
- +3 this week
- Licence
- MIT
- Allows business use
- Downloads for
- 3 systems
- Mac, Windows, Linux
- Latest version
- v0.10.1
- Released 8 days ago
- Built with
- Python
- 97% of the code
Is it looked after?
- Contributors
- 3
- Last 90 days
- Issues
- 96% closed
- 2 still open
- Pull requests
- 94 merged
- 0 waiting
- Releases
- 19
- 19 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: download files, languages, topics and project record
Download files, v0.10.1
- Mac1 file, 7 downloads
- Windows1 file, 7 downloads
- Linux1 file, 7 downloads
Languages
- Python 97%
- TypeScript 2%
- Shell <1%
- PowerShell <1%
Topics
- agentic-ai
- agentic-workflow
- agents
- function-calling
- llama-cpp
- llamafile
- llm
- ollama
- python
- self-hosted
- tool-calling
Project record
- JobAgent frameworks
- StatusListed
- Commits94
- Forks174
- Watching14
- Stars in 28 days+14
- CreatedFeb 16, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026