langchain-ai/deepagents

The batteries-included agent harness.

About the project

Deep Agents is an extensible agent harness that provides an out-of-the-box agent for long, multi-step tasks, with features such as planning, sub-agents, filesystem access, context management, memory, and human approval of tool calls. It is used by developers building agents with different language models, and its catalogue entries extend the harness with reusable skills, MCP servers, and instructions.

This repository also configures its own agents. See what deepagents tells them →

30kStars on the repository
26Mods indexed here, across every type
todayLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

blog-post

01

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.

not rated 30k +231 yesterday A Socket: passSnyk: passSkillSpector: pass 58 tokens original MIT

social-media

02

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.

not rated 30k +231 yesterday A Socket: passSnyk: warnSkillSpector: pass 58 tokens original MIT

code-review

03

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.

not rated 30k +231 yesterday A Snyk: passSkillSpector: pass 23 tokens original MIT

coding-prefs

04

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives durable feedback.

not rated 30k +231 yesterday A Snyk: passSkillSpector: pass 36 tokens original MIT

planning

05

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Break down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.

not rated 30k +231 yesterday A Snyk: passSkillSpector: pass 23 tokens original MIT

competitor-analysis

06

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Analyze competitors in a given market segment. Trigger on: competitive landscape, competitor analysis, market comparison, competitive positioning.

not rated 30k +231 yesterday A SkillSpector: pass 27 tokens original MIT

analyze-market

07

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Perform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.

not rated 30k +231 yesterday A SkillSpector: pass 34 tokens original MIT

cudf-analytics

08

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical summaries, anomaly detection, or large-scale data profiling.

not rated 30k +231 yesterday A Snyk: passSkillSpector: warn 51 tokens original MIT

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality reduction, or model training on datasets.

not rated 30k +231 yesterday A Snyk: passSkillSpector: warn 43 tokens original MIT

data-visualization

10

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Use for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating charts, or producing visual reports from analysis output.

not rated 30k +231 yesterday A Snyk: passSkillSpector: warn 40 tokens original MIT

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Use when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing. Triggers when the user provides large documents or needs bulk document analysis.

not rated 30k +231 yesterday A Snyk: passSkillSpector: pass 41 tokens original MIT

query-writing

12

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.

not rated 30k +231 yesterday A Socket: passSnyk: passSkillSpector: pass 57 tokens original MIT

schema-exploration

13

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

not rated 30k +231 yesterday A Socket: passSnyk: passSkillSpector: pass 57 tokens original MIT

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use to look up the current thread's title or name, as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata…

not rated 30k +231 changed 11d ago A Snyk: passSkillSpector: pass 93 tokens original MIT

remember

15

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture…

not rated 30k +231 yesterday A Snyk: passSkillSpector: pass 71 tokens original MIT

skill-creator

16

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an…

not rated 30k +231 changed 18d ago A Socket: passSnyk: passSkillSpector: warn 159 tokens copy · 89% MIT

arxiv-search

17

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.

not rated 30k +231 yesterday A Socket: passSnyk: warnSkillSpector: pass 62 tokens original MIT

langgraph-docs

18

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.

not rated 30k +231 yesterday A Socket: passSnyk: passSkillSpector: pass 62 tokens original MIT

web-research

19

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.

not rated 30k +231 yesterday A Socket: passSnyk: warnSkillSpector: pass 56 tokens original MIT

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Review Talon tool placement and defensive prompts when requested or when adding or changing tools or subagents; apply confirmed changes and verify active capabilities.

not rated 30k +231 yesterday A 32 tokens original MIT

safety

21

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Check secret handling, staged changes and push targets, destructive Git operations, Docker image hygiene, and new dependencies before consequential coding actions. Use for commits, pushes, container builds or publishes, dependency additions, and explicit safety reviews.

not rated 30k +231 yesterday A 48 tokens original MIT

langchain-ai/deepagents

Skill Claude CodeCodex ✓ vendor

Discover plugins from configured dcode marketplaces when a capability is missing or the user asks about available, disabled, or not-yet-installed plugins and connected marketplaces.

not rated 30k +231 yesterday A 37 tokens original MIT

At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: