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EGC vs MandoCode

Which one should you try?

EGC

Free

Best for Developers using multiple AI coding assistants

Visit EGC See full review

MandoCode

Free

Best for .NET and C# developers

Visit MandoCode See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

EGC

EGC

EGC is a local-first MCP runtime that persists memory across sessions and across AI tools, so agents pick up exactly where the last session stopped. The repo structure shows explicit support for Cursor, Codex, Gemini, Kiro, Trae, and OpenCode, meaning the memory layer sits beneath whichever assistant you switch to. The system tracks completed tasks, failures, and next steps automatically — you do not write the handoff notes. The wall appears when you need a hosted or API-accessible version: the vendor describes no hosted runtime, no remote API, and no paid tier, so teams requiring cloud-accessible memory or multi-user session state have nowhere to go within this tool.

MandoCode

MandoCode

MandoCode is a .NET CLI agent that reads your project, proposes diffs, and applies changes across files — the full plan-search-edit loop, entirely on your machine. It is built on Semantic Kernel and RazorConsole, which renders a Spectre.Console terminal UI using Razor components and a virtual DOM. The agent is designed around C# and .NET codebases, so the file understanding and diff proposals are tuned for that ecosystem. Web search is available without a key but the vendor states a free Tavily key improves reliability. The ceiling appears when you push outside .NET: community reports on the GitHub page are thin, and the tool's own framing is explicit about its target audience.

AttributeEGCMandoCode
PricingFreeFree
Pricing checkedNot checked yetNot checked yet
Free trialNot statedNot stated
Open sourceYesYes
Has APINoNo
Self-hosted optionYesYes
PlatformsLocal / desktop.NET 8, CLI/terminal, Ollama (local or cloud)
Pros
  • Zero-prompt memory restoration on session start, which means developers stop spending the first part of every session re-explaining project state to an agent that forgot everything.
  • Single memory layer spanning multiple AI coding assistants — Cursor, Codex, Gemini, Kiro, Trae, and OpenCode are all covered — so switching tools mid-project does not fragment your context into incompatible silos.
  • Automatic tracking of completed tasks, failures, and next steps, which means the handoff document you never wrote still exists when you return after two weeks away.
  • MIT license with a local-first runtime and self-hosted option, so your project memory never touches an external server and the tool cannot be deprecated behind a paywall.
  • Install scripts and pre-built agent configuration files ship with the repo, which means the integration surface for supported tools is a config file change rather than a custom integration build.
  • Runs against local or self-hosted Ollama with no API keys required for core functionality, so your source code never leaves infrastructure you control — which means you skip the legal and security review that external AI coding tools typically trigger.
  • Single `dotnet tool install` command gets the agent running, so you are not wrestling with Python virtual environments or Node version conflicts before writing a line of code.
  • Project-aware planning loop — the agent reads across files, builds a plan, and proposes diffs before writing — so you review the full change set rather than discovering side effects after the fact.
  • RazorConsole terminal UI renders structured, navigable output in the console without a browser or IDE dependency, which means the tool works cleanly over SSH and in headless CI environments where other agent UIs break.
  • MIT-licensed and open-source, so you can audit exactly what the agent sends to the model and fork it when the default behavior does not match your workflow.
Cons
  • No hosted runtime and no API surface: any workflow that requires memory to be accessible from a remote server, a CI pipeline, or a second developer's machine has no path forward inside EGC. Teams needing shared or cloud-accessible session state have to build their own persistence layer or switch to a tool that offers one.
  • With 17 open GitHub issues and no paid support tier, production bugs in edge cases — unsupported assistant versions, memory corruption on interrupted sessions, schema mismatches after updates — land entirely on the team to diagnose and fix. Teams that cannot absorb that maintenance overhead typically move to a commercially supported memory layer.
  • Coverage is limited to the AI coding assistants explicitly wired into the repo. If your tool of choice lacks a configuration directory in the project, memory persistence does not apply to it, and adding support requires contributing to the project or maintaining a fork.
  • The agent's file understanding, diff proposals, and documented use cases target .NET and C# explicitly. Teams with Python, Go, or TypeScript services in the same repository will find the agent has not been tested or tuned for those languages — at which point they are evaluating a different tool rather than configuring this one.
  • Model quality and context window are entirely determined by what Ollama can run on the available hardware. On a developer laptop with a mid-range GPU, large refactoring tasks that require holding the full context of a multi-file module will start failing silently or producing partial diffs — the agent cannot compensate for a model that cannot fit the prompt.
  • There is no API surface documented in the source page, which means MandoCode cannot be embedded in a larger automation pipeline or triggered by an external system. Teams that want the agent to run as a step in a CI workflow rather than interactively will need to build that wrapper themselves or switch to an agent that exposes a programmatic interface.

Made up your mind?

EGC

Free

Best for Developers using multiple AI coding assistants

Visit EGC See full review

MandoCode

Free

Best for .NET and C# developers

Visit MandoCode See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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