No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by antoinezambelli · Agent Tool · ★ 2.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is forge safe to install? View the security audit →
forge A reliability layer for self-hosted LLM tool-calling. Forge lifts an 8B local model to the top of its class on multi-step agentic workflows through guardrails (rescue parsing, retry nudges, step enforcement) and context management (VRAM-aware budgets, tiered compaction). The current top self-hosted config (Ministral-3 8B Instruct Q8 on llama-server) scores 86.5% across forge's 26-scenario eval suite — and 76% on the hardest tier. Three ways to use it: WorkflowRunner — Define tools, pick a backend, run structured agent loops. Forge manages the full lifecycle: system prompts, tool execution, context compaction, and guardrails. SlotWorker adds priority-queued access to a shared inference slot with auto-preemption — for multi-agent architectures where specialist workflows share a GPU slot. Best when you're building on forge directly. Guardrails middleware — Use forge's reliabili
| Stars | 2,232 |
| Forks | 174 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.0813162037958/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-01 |
| Created | 2026-02-16 |
| Platforms | python |
| Est. Tokens | ~16k |
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forge is A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows. It is categorized as a Agent Tool with 2.2k GitHub stars.
forge is primarily written in Python. It covers topics such as agentic-ai, agentic-workflow, agents.
You can find installation instructions and usage details in the forge GitHub repository at github.com/antoinezambelli/forge. The project has 2.2k stars and 174 forks, indicating an active community.
forge is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to forge on Agent Skills Hub include sdk-python, ruby_llm, tools. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: