A web UI coding agent that handles the full development loop: understand your codebase, plan features collaboratively, spin up isolated branch agents, write the code, and ship PRs — all in parallel. Written in Go.
An agentic coding assistant with a web UI, written in Go.
Ogcode acts as a pair programmer that actually codes with you. It doesn't just suggest snippets; it understands your entire codebase, plans complex features, and executes them by creating branches and PRs automatically. It can even run multiple tasks in parallel across different branches, allowing you to ship entire features in a fraction of the time. Whether you're hunting a bug or building a zero-to-one feature, Ogcode handles the heavy lifting so you can focus on the architecture.
Ogcode gives you two ways to work with AI on your codebase:
Build Mode — Chat directly with an AI agent that can read, write, edit, and execute code in your project.
Plan Mode — Collaboratively plan a feature or refactor with a read-only planning agent, then break the plan into tasks. Each task gets its own git branch and an isolated agent session. Completed tasks auto-create pull requests. Multiple tasks can run in parallel, drastically speeding up complex feature implementations.
Roadmap
[ ] Advanced Task Planning & Parallel Execution: Enhanced plan decomposition, allowing users to manually or automatically assign coding agents to tasks, with full parallel execution support.
[ ] AI Daily Standups: Voice-enabled daily meetings where all agents assigned to a project can report progress and discuss their work. This includes natural voice interactions, project-specific memory, and the ability to take and remember human feedback.
[ ] Ogland Integration: A dedicated space within Ogcode to connect external services like Slack, Email, Jira, and more, enabling their use during the planning phase.
First-time install walkthrough for Claude Code, Codex CLI, and ChatGPT.
[ ] Agentic Deployment: Full end-to-end agentic deployment support for all major cloud providers, starting with AWS.
Agentic Session Memory 🧠
Ogcode's Agentic Session Memory revolutionizes how AI coding assistants handle context in long-running sessions. Instead of sending the entire conversation history to the LLM (which quickly becomes expensive and hits token limits), Ogcode intelligently extracts, stores, and retrieves only the relevant context needed for each query.
Key Benefits
| Feature | Impact |
|---------|--------|
| ~70% Token Savings | Drastically reduced API costs on long sessions |
| Infinite Context | No practical limit on session length or codebase size |
| Higher Accuracy | Only relevant memories are retrieved per query |
Ogcode auto-detects Ollama on macOS/Linux if the binary is installed at a common path. On Windows, or if you have a non-standard install, set OLLAMA_BASE_URL explicitly.
Local setup (default):
# macOS / Linux — auto-detected if ollama is installed
ollama serve
ogcode
# Or be explicit on any OS:
export OLLAMA_BASE_URL=http://localhost:11434/v1
ogcode
export OLLAMA_MODEL=codellama # defaults to qwen3-coder-next if not set
Available models in the UI include: qwen3, codellama, llama3.1, deepseek-coder-v2, mistral, and others. Any model you have pulled in Ollama will work — just select it from the model dropdown in the web UI.
Optional: Agentic Memory
To give the agent long-term memory across sessions, set:
export OGCODE_AGENTIC_MEMORY_MODE=true
This connects to an MCP-compatible memory server (configure via MCP_SERVER_* env vars).
Optional: Custom Models
You can add custom models (e.g. fine-tuned endpoints) through the web UI at Settings → Models.
Usage
Start in Build Mode (default)
ogcode
Opens the web UI at http://localhost:8080. Chat with the agent, ask it to read files, write code, run commands, or search the codebase.
Start in Plan Mode
ogcode plan
Opens the planning interface. Describe what you want to build. The planning agent will understand your codebase and discuss the approach with you. When you are satisfied, click Lock Plan — the agent breaks it into tasks with dependencies, effort, and complexity estimates.
Use a custom port
ogcode -p 3000
ogcode plan -p 3000
Check version
ogcode version
The Plan Mode Workflow
Describe — Open a new plan and describe your goal. The planning agent reads your codebase and helps refine the approach.
Lock — When ready, lock the plan. The agent generates a structured task breakdown.
Review — View tasks in the Kanban board. Each task has a title, description, effort (S/M/L/XL), complexity, and dependencies.
Execute — Start tasks. Each one gets its own git branch and an isolated agent session. You can watch the agent work in real time.
Complete — When a task finishes, the agent commits its changes and a pull request is automatically created. Ogcode manages dependencies between tasks and runs independent tasks in parallel.
Retry — If a task fails, retry it. The stale branch is removed and the task starts fresh.
Plans are archived as markdown files in .ogcode/archives/ once all tasks are completed.
Community
Join the Ogcode community on Discord for discussions, support, and updates:
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
