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SharpClaw Code is a C# and .NET-native coding agent runtime for teams building AI developer tools, agentic CLIs, and MCP-enabled workflows.
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It combines durable sessions, permission-aware tool execution, provider abstraction, structured telemetry, and an automation-friendly command-line surface in a codebase designed for production-quality .NET systems, not toy demos.
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It combines durable sessions, permission-aware tool execution, provider abstraction, structured telemetry, and an automation-friendly command-line surface in a runtime shaped for real .NET systems: explicit, testable, and operationally legible.
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## What SharpClaw Code Is
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## What It Is
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SharpClaw Code is an open-source runtime for building and operating coding-agent experiences in the .NET ecosystem.
-**Safety by default**: permission modes, approval gates, workspace-boundary enforcement, and mediated tool execution
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-**Extensible surface**: providers, MCP servers, plugins, skills, ACP hosting, and runtime commands integrate through explicit seams
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-**Good fit for automation**: JSON-friendly command output, stable operational commands, and a clean CLI-first workflow
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-**Automation-ready interface**: stable JSONoutput, operational commands, and a clean CLI-first workflow that works for both humans and scripts
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## Quick Start
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- running a **local or hosted coding-agent CLI**
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- creating a **.NET MCP client/runtime**
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- adding **session persistence and auditability** to agent workflows
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-experimenting with**Agent Framework-backed orchestration** without pushing core runtime logic into the framework layer
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-building on**Microsoft Agent Framework** without pushing your application core into framework-specific code
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## Solution Layout
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## Current Scope
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- The shared tooling layer is permission-aware across the runtime.
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- The current runtime includes multi-turn provider-backed tool execution with durable conversation history and session-backed prompt replay.
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- The current runtime includes multi-turn provider-backed tool execution, session-backed prompt replay, and durable conversation history.
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- Agent-driven tool calls flow through the same approval and allowlist enforcement path used by direct tool execution, including caller-aware interactive approval behavior.
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- Operational commands support stable JSON output via `--output-format json`, which makes them useful in scripts and automation.
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- Operational commands support stable JSON output via `--output-format json`, which makes them suitable for scripts, editors, and automation.
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- The embedded server exposes local JSON and SSE endpoints for prompts, sessions, sharing, status, and doctor flows.
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