Nanocoder
An open coding agent for your terminal that lets you bring your own model and keep code local.
Evidence shows emphasis on local-first, bring-your-own-model, no telemetry, but lacks implementation details. Deductions: no specific mechanisms for least privilege, user confirmation, data flow transparency, sensitive data handling; dependency security has audit scripts but no results; external effects and rollback not specified; source attribution only mentions collective, unverified.
Self-consistency: README, package.json, CI config are consistent, but no runtime behavior evidence. Dependency availability: dependency list complete, but version availability not verified. Failure messages: no specific error handling examples. Deductions: static review cannot verify runtime reliability.
Audience clearly developers, scenarios cover installation, configuration, features. Capability boundaries: docs mention skills, subagents, etc., but not detailed limitations. Trigger precision: CLI flags and modes described, but not in-depth. Environment fit: multiple installation methods, but not verified. Deductions: insufficient evidence for capability boundaries and trigger precision.
Information architecture: clear documentation structure. Install notes: npm, Homebrew, Nix provided. Naming stability: version number clear, but no naming conventions. Examples and FAQ: examples present, no FAQ. Known limitations: not explicitly listed. License: MIT license clear. Versioning/changelog: changeset process, but no actual changelog. Maintenance responsibility: collective, but not explicit. Deductions: insufficient evidence for known limitations, naming stability, maintenance responsibility.
Output usability: CLI and docs provided, but actual output not verified. Marginal value: emphasizes local-first, multi-provider, but not quantified. Cost-benefit: free and open source, but no performance data. Deductions: static review cannot verify actual effectiveness.
Claim traceability: claims in README lack specific evidence. Cross-source corroboration: only relies on repository files. Fact-inference separation: not clearly distinguished. Deductions: lack of external verification and clear separation.
- Static review cannot verify runtime behavior; all security and reliability claims need actual testing.
- Dependency security audit scripts exist but no results provided; check for dependency vulnerabilities.
- No explicit mechanisms for least privilege, user confirmation, and data flow transparency; review source code to confirm.
What does this agent do, and when should you use it?
Nanocoder is an open-source coding agent for the terminal, built by the Nano Collective community, not a company. It allows you to bring your own model, using local models via Ollama or any OpenAI-compatible API such as OpenRouter, Anthropic, and Google. It is privacy-respecting and local-first, ensuring your code stays on your machine. Install via npm with `npm install -g @nanocollective/nanocoder`, then run `nanocoder`. It supports various CLI flags for provider, model, and mode, and offers both inline and fullscreen rendering. There are no paid tiers, no telemetry, and the roadmap is community-driven. The documentation is comprehensive, covering installation, configuration, features, and command references.
Nanocoder executes coding tasks using the model you specify. It runs from the terminal, with commands like nanocoder --provider openrouter --model google/gemini-3.1-flash run "analyze src/app.ts" for non-interactive analysis, or nanocoder --provider ollama --model llama3.1 for interactive sessions. It supports development modes: normal, auto-accept, yolo, and plan, and a fullscreen mode via --alt-screen. It provides built-in slash commands like /clear and /exit. It reads project files, executes commands, calls model APIs, generates code changes or analysis, and outputs to the terminal. Configuration includes MCP servers, preferences, logging, and timeouts.
- A developer who wants to use local models for coding while keeping code private on their machine.
- A team that needs a uniform coding agent but allows members to choose different providers (e.g., Ollama or OpenRouter).
- A user who wants a coding agent with no paid tiers and no telemetry.
- A developer managing multiple projects who wants a standardized toolchain across them.
- A contributor who wants to influence the roadmap of a community-driven AI tool.
What are this agent's strengths and limitations?
- True local-first, code never leaves your machine.
- Multi-provider support (Ollama, OpenRouter, Anthropic, Google) avoids lock-in.
- No paid tiers; all features are open to the community.
- Community collective governance, not company-driven, so roadmap reflects user needs.
- Requires you to bring your own model, which may incur API costs.
- Depends on Node.js environment and npm package installation.
- Documentation is extensive but may require time to learn CLI and configuration.
- Fullscreen mode is not default; must use --alt-screen.
How do you install or deploy this agent?
Install globally via npm: npm install -g @nanocollective/nanocoder. Also available via Homebrew (macOS/Linux) and Nix Flakes. After installation, run nanocoder to start. Requires Node.js.
How do you use this agent?
Run nanocoder to start an interactive session. Use --provider and --model to specify provider and model, e.g., nanocoder --provider openrouter --model google/gemini-3.1-flash run "analyze src/app.ts". Modes are normal, auto-accept, yolo, plan; use --mode to specify. Use --alt-screen for fullscreen mode. Slash commands include /clear and /exit.
How does this agent compare with similar options?
Compared to Claude Code and Codex, Nanocoder emphasizes multi-provider support, local-first design, and no corporate governance.