Deepagents Thread Inspector

OrganizationPopular

langchain-ai

deepagents-thread-inspector

Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use 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, list recent local threads, or parse $DEEPAGENTS_HOME/.state/sessions.db and a thread UUID or prefix.

Overview

Publisher	langchain-ai
Repository	`deepagents`
Skill name	`deepagents-thread-inspector`
Stars	29.9K
Forks	4.2K
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by langchain-ai on GitHub. Read the source before you install it.

Installation

Install the Deepagents Thread Inspector AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/langchain-ai/deepagents/tree/main/libs/code/deepagents_code/built_in_skills/deepagents-thread-inspector
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/langchain-ai/deepagents/tree/main/libs/code/deepagents_code/built_in_skills/deepagents-thread-inspector

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/langchain-ai/deepagents.git /tmp/deepagents
mkdir -p .claude/skills
cp -r /tmp/deepagents/libs/code/deepagents_code/built_in_skills/deepagents-thread-inspector .claude/skills/deepagents-thread-inspector

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deepagents Thread Inspector in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Deepagents Thread Inspector on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Deepagents Thread Inspector is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Deep Agents Thread Inspector

If LangSmith tooling is available for a traced thread, prefer it. Otherwise, use scripts/inspect_sessions.py instead of manually decoding database blobs. It opens the database read-only and deserializes the root message channel with LangGraph's strict MsgPack loader — reading the materialized messages from the latest checkpoint, or replaying writes in checkpoint order when that fast path is unavailable — and emits JSON.

Inspect local state

Resolve SKILL_DIR to the directory containing this SKILL.md; do not assume a user, project, or installation-specific location. Start with the smallest useful view:

bash
python3 "$SKILL_DIR/scripts/inspect_sessions.py" THREAD_ID --mode latest-turn

A unique thread-ID prefix is accepted. Select another view when needed:

bash
python3 "$SKILL_DIR/scripts/inspect_sessions.py" THREAD_ID --mode summary
python3 "$SKILL_DIR/scripts/inspect_sessions.py" THREAD_ID --mode transcript

Use --include-metadata only when run, repository, model, checkpoint, or LangGraph metadata matters. Use --max-content N to raise or lower the default 4,000-character limit per message, tool result, or tool-call argument.

If the user does not know the ID, list recent threads first:

bash
python3 "$SKILL_DIR/scripts/inspect_sessions.py" --list 20

Pass --db PATH only for a non-default session store. The default is $DEEPAGENTS_HOME/.state/sessions.db, or ~/.deepagents/.state/sessions.db when that variable is unset. DEEPAGENTS_SESSIONS_DB overrides both. The script applies the same rules dcode does, so a relative or ~user value is rejected rather than resolved to a database dcode never writes.

Explain the result

Synthesize the JSON rather than pasting it verbatim.

State the user's request, the assistant's conclusion, and significant tool actions or failures.
Distinguish stored facts from your interpretation.
For the latest turn, describe only the final user message and subsequent activity unless earlier context is required to make it understandable.
Mention truncation when a relevant record has content_truncated or args_truncated set.
Surface reconstruction problems when the result includes a top-level warnings array (for example, a corrupt checkpoint, a skipped write, or malformed metadata) so conclusions are appropriately hedged.
Do not expose unrelated credentials, tokens, personal data, or hidden reasoning that may appear in local records.

Safety

Keep inspection read-only. Do not deserialize an untrusted database: checkpoint deserialization is intended for trusted local Deep Agents state. Do not mutate or delete session rows unless the user separately and explicitly requests it.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/inspect_sessions.py24 KB

Frequently asked questions

What does the Deepagents Thread Inspector AI skill do?

Why use Deepagents Thread Inspector on TypingMind?

Because you install it once and use it with any model. Deepagents Thread Inspector is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Deepagents Thread Inspector in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/langchain-ai/deepagents/tree/main/libs/code/deepagents_code/built_in_skills/deepagents-thread-inspector. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Deepagents Thread Inspector?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Deepagents Thread Inspector?

As many as you like. As long as a model supports skills, you can use Deepagents Thread Inspector with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Deepagents Thread Inspector AI skill free?

Yes. It is published on GitHub by langchain-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Deep Agents Thread Inspector

Inspect local state

Explain the result

Safety

Bundled files

Frequently asked questions

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