deepagent-code

Desktop and terminal AI coding workspace with persistent sessions, project memory, subagents and a managed browser.

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Setup steps are in the repository. Website · Repository

About

DeepAgent Code combines a desktop coding workspace and a terminal agent on a shared core. Sessions persist and accept steering and queued tasks, Goals add editable plans, and project memory keeps facts and decisions with their sources. Subagents run independent tasks with durable run records and isolated worktrees, and a desktop-managed browser can be taken over when a step needs input. Public IM can send /dac commands to a local DAC instance.

Use cases: coding, browser-automation, code-generation, agent-memory, agent-orchestration

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Fact sheet

Jobs: coding, browser automationREADME
Autonomy: Supervised: runs multi-step tasks, asks at checkpointsREADME
Where you use it: Desktop app, Terminal, otherREADME
Hosting: You run itREADME
Interfaces: mcp, agent-skillsREADME

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

Signals

Stars: 433
Forks: 3
Open issues: 1
Last commit: Oct 24, 2026 (7 days ago)
Last release: Oct 14, 2026 (16 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: Other
Repository: github.com/deepagent-ltd/deepagent-code
Website: ai.deepagent.ltd/
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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founders on every account: 2; founders on every account

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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

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