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Fine vs Syrin - Static Contract Analysis for MCP Servers
Fine focuses on building software with AI agents but lacks built-in budget enforcement and sandboxed execution.
Syrin - Static Contract Analysis for MCP ServersCatch MCP failures before the agent doesSide by side
- What it is
- Fine:Build Software with AI Agents.
- Syrin - Static Contract Analysis for MCP Servers:Syrin is a Python library that adds budget enforcement, memory management, sandboxed code execution and guardrails to LLM agents.
- Best for
- Fine:General AI-agent development
- Syrin - Static Contract Analysis for MCP Servers:Budget-controlled, safe multi-agent AI systems
- Who it’s for
- Fine:—
- Syrin - Static Contract Analysis for MCP Servers:Python developers building production AI agents.
- Pricing
- Fine:Free
- Syrin - Static Contract Analysis for MCP Servers:Open source
- Open source
- Fine:—
- Syrin - Static Contract Analysis for MCP Servers:Yes, 48 GitHub stars
- Works with
- Fine:—
- Syrin - Static Contract Analysis for MCP Servers:OpenAI, Anthropic, Google, Ollama, Datadog, PagerDuty
- DevHunt upvotes
- Fine:75
- Syrin - Static Contract Analysis for MCP Servers:24
- Launched on DevHunt
- Fine:Jan 2023
- Syrin - Static Contract Analysis for MCP Servers:Feb 2026
Syrin - Static Contract Analysis for MCP Servers features
- First-class budget enforcement. Set dollar limits per agent; stop, warn or switch models when the budget is exceeded.
- Budget-aware persistent memory. Four memory types with decay, import-rank and token-cost awareness, persisting across sessions.
- Isolated sandbox execution. Run LLM-generated Python, Bash or JavaScript in subprocesses with timeouts and no shared state.
- 72+ lifecycle hooks. Typed events fire on every LLM request, tool call, memory read, sandbox exec, etc., for observability.
- Built-in guardrails. PII redaction, prompt-injection detection, content filtering, fact verification and output length limits.
- Multi-agent orchestration. Swarm topologies and recursive sub-agent spawning share budget, memory and observability.
- Agent identity & signing. Each agent has a cryptographic Ed25519 identity; messages are signed to prevent impersonation.
- Token-Oriented Object Notation (TOON). Compact schema format reduces token usage on tool calls by ~40%.
Based on each tool's website and DevHunt data. Details may change; check the official sites.