codeAgent

Python terminal coding agent with DeepSeek by default, MCP tools, sub-agents, approval prompts and reusable learned skills

Agent by Harvil1

IndexedMIT★ 1,026

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About

CodeAgent is a terminal coding assistant written in Python that reads code, edits files, runs commands and looks up information from natural language requests. It works with OpenAI-compatible and Anthropic-protocol models, with DeepSeek as the default, and asks for approval before destructive commands or writes outside an allowlist. It loads MCP servers from a project .mcp.json file, runs sub-agents and workflows, and turns observed conversations into reusable skills.

Use cases: coding, code-generation

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Fact sheet

Jobs: codingREADME
Autonomy: Supervised: runs multi-step tasks, asks at checkpointsREADME
Where you use it: TerminalREADME
Hosting: You run itREADME
Models: deepseek, openai, anthropic, openrouter, zhipuREADME
Interfaces: mcpREADME
Open source: YesREADME

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Signals

Stars: 1,026
Forks: 69
Open issues: 0
Last commit: Oct 14, 2026 (17 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/Harvil1/codeAgent
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

codeAgent. Agent Mart. https://agentmart.dev/agents/codeagent (last updated 2026-10-24)