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📖 The AI Tool Bible

OpenClaude

Open-source, model-agnostic terminal coding agent

Free· Free and open source; you pay only for whichever underlying model API you configure (or $0 with local Ollama / LM Studio).CodingModel-agnostic — routes to OpenAI, Gemini, Grok, Codex, Ollama, LM Studio, GitHub Models, DeepSeek and 200+ others
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Best for

Developers and small teams who want a Claude Code-style terminal agent without vendor lock-in — especially those routing to local Ollama/LM Studio models or mixing cheap and premium providers per task.

Skip if

Non-technical users, teams that need a GUI or IDE integration, and organisations that want a single-vendor supported product with SLAs rather than a self-managed open-source CLI.

OpenClaude is an open-source, terminal-based coding agent distributed through npm as `@gitlawb/openclaude`. It runs locally on Node.js 22+ and drives development tasks — reading and editing files, executing shell commands, searching with grep and glob, calling MCP servers, and streaming diffs — while keeping every action reviewable. Where most coding agents lock you to a single vendor, OpenClaude is deliberately model-agnostic: it advertises support for OpenAI, Gemini, Grok, Codex, Ollama, LM Studio, GitHub Models, DeepSeek and roughly 200 additional models across hosted and self-hosted providers, so teams can point it at whatever backend fits their budget, latency, or data-residency needs. Typical workflows include interactive coding sessions where the agent proposes changes as visible diffs you approve or reject, non-interactive scripted runs that emit JSON for CI pipelines and pre-commit hooks, and long refactors that lean on session management to resume, branch, or rewind prior turns. Repository-scoped configuration profiles let a monorepo, a Rust crate, and a Next.js app each carry their own model, tool allowlist, and prompt tuning without polluting a global config. Because it ships as a plain CLI, it slots into tmux, VS Code terminals, and remote SSH sessions the same way, and self-hosters can pair it with a local Ollama or LM Studio instance to keep code and prompts entirely on-prem. A small pixel-art 'buddy' companion adds some personality without burning tokens. It is best understood as a Claude Code / Aider-style workflow that is intentionally not tied to Anthropic's models or hosted service.

Editor's take

A pragmatic answer to 'I like the Claude Code workflow but I do not want to be tied to one vendor.' The 200+ model claim is really 'whatever the OpenAI-compatible or Ollama API can reach', which is exactly the right abstraction for a CLI agent. Rough edges around docs and defaults, but the session model and scriptable JSON mode are genuinely useful.

— The AI Tool Bible editorial team

Pros

  • Model-agnostic: openai, gemini, grok, ollama, lm studio, github models, deepseek and 200+ backends
  • Fully open source and installable via a single npm command
  • First-class support for local models via Ollama and LM Studio for private / offline coding
  • Real developer toolset baked in: bash, file edit, grep, glob, and MCP server calls
  • Session resume, branching, and rewind make long refactors and exploratory work practical
  • Non-interactive JSON mode makes it scriptable inside CI, pre-commit hooks, and cron jobs
  • Per-repository config profiles keep monorepo and polyglot setups clean

Cons

  • ⚠️ Terminal-only — no IDE panel, GUI, or web dashboard
  • ⚠️ Quality depends heavily on which backend model you configure; no opinionated default
  • ⚠️ Requires Node.js 22+, which some enterprise environments still lag on
  • ⚠️ Documentation and community are small compared to Claude Code, Aider, or Cursor
  • ⚠️ The 'OpenClaude' name invites confusion with Anthropic's Claude, though it is unaffiliated
  • ⚠️ No hosted offering — every user manages their own API keys, rate limits, and billing

Use cases

Terminal-based pair programmingAutomated refactors across a repositoryScripted code changes in CI pipelinesLocal, offline coding with Ollama or LM StudioMulti-file bug fixes with reviewable diffsMCP-server-driven agent workflowsCodebase exploration and Q&A via grep/glob toolsCost optimisation by routing tasks to cheaper models

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