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OpenForge

Free

Open-source local AI agent with 25 LLM providers, 33-module intelligence mesh, real-time PTY terminal, and self-improving memory. Private by default.

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At a glance

Explore the listed capabilities, then check the details that matter to you.

  • Run an open source local agent
  • Choose among 25 LLM providers
  • Use a 33 module intelligence mesh
Related by shared tags and keywordsHyperReasonollamancerPersonalClaw
ai-agentaianthropicllmlocal-aiai assistantautomation
OpenForge screenshot 1

Overview

OpenForge is an open-source local AI agent. It is described as a self-improving AI agent that learns from every interaction and can connect to any model, including Claude, GPT, Gemini, and Ollama. The product includes 43 tools, 44 skills, autonomous reasoning, and persistent memory. It is local-first: all data stays in ~/.openforge/ with no telemetry or cloud. OpenForge supports 27 LLM providers such as OpenAI, Anthropic, Google, Ollama, and llama.cpp. Its built-in tools cover filesystem, terminal, git, planning, and self-extension, while its AI skills cover code review, research, docs, and data analysis across six categories. The project is MIT licensed and positioned as open-source, local-first, and enterprise-ready.

Pricing

Free

Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.

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Prices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.

Use Cases

  • Teams use OpenForge to route requests across 25 LLM providers with automatic failover and load balancing.
  • Teams use OpenForge to orchestrate virtual agent personas working in parallel on complex tasks.
  • Teams use OpenForge to perform automated code review with security, performance, and best-practice analysis.
  • Teams use OpenForge to conduct multi-source research with citations and structured output.
  • Teams use OpenForge to generate documentation from code automatically.
  • Teams use OpenForge to analyze datasets with statistical insights and visualizations.
  • Teams use OpenForge to run Python snippets in a sandboxed subprocess.
  • Teams use OpenForge to preview web applications in an isolated sandbox.

Features

Run an open source local agent

Choose among 25 LLM providers

Use a 33 module intelligence mesh

Interact through a real time terminal

Retain self improving agent memory

Keep agent use private by default

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