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Agent Infini

CommunityPopular
xuzhougeng
agent-infini

Use the InfiniSynapse CLI (`agent_infini`) for multi-turn AI data-analysis tasks, database/RAG context, and task workspace files. Use when the user mentions InfiniSynapse, agent_infini, database or RAG analysis, or asks to delegate analysis through InfiniSynapse.

Overview

Publisherxuzhougeng
Repositorywisp-science
Skill nameagent-infini
Stars
1K
Forks
104
Bundled files
Instructions only
LicenseApache-2.0
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xuzhougeng on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xuzhougeng/wisp-science/tree/main/skills/agent-infini
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/xuzhougeng/wisp-science.git /tmp/wisp-science
mkdir -p .claude/skills
cp -r /tmp/wisp-science/skills/agent-infini .claude/skills/agent-infini
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Infini 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 Agent Infini 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 Agent Infini 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.

agent_infini

agent_infini talks to the InfiniSynapse backend REST API. Use it for database-backed analysis, RAG-backed analysis, multi-turn task conversations, and task workspace files.

Default binary locations:

  • Linux/macOS: ~/.infini/bin/agent_infini
  • Windows: %USERPROFILE%\.infini\bin\agent_infini.exe

If agent_infini is not on PATH, call the full path.

Credential setup

wisp-science stores the InfiniSynapse API key in Settings -> Credentials and initializes the CLI with:

bash
agent_infini init --api-key "sk-xxx"

If the CLI is missing, install it:

powershell
irm https://infinisynapse.cn/cli-install/install.ps1 | iex
bash
curl -fsSL https://infinisynapse.cn/cli-install/install.sh | bash

Do not print API keys or dump config files. If authentication fails, ask the user to update the InfiniSynapse API key in Settings -> Credentials or rerun agent_infini init.

Recommended workflow

  1. Check the CLI: agent_infini version
  2. List resources: agent_infini db ls and agent_infini rag ls
  3. Check enabled context: agent_infini task context
  4. Enable needed context: agent_infini db enable <id> or agent_infini rag enable <id>
  5. Start a task: agent_infini task new "..."
  6. Continue the same task: agent_infini task ask <taskId> "..."
  7. Inspect outputs: agent_infini task file <taskId>, preview, or download

Commands

bash
agent_infini task new "Analyze user growth trend"
agent_infini task ask <taskId> "Show it as a bar chart"
agent_infini task ls [--page N] [--page-size N] [--search Q]
agent_infini task show <taskId>
agent_infini task context
agent_infini task cancel <taskId>
agent_infini task rm <id1> [id2 ...]
agent_infini task file <taskId>
agent_infini task preview <taskId> <fileName>
agent_infini task download <taskId> <fileName> [-o dir]
bash
agent_infini db ls [--name N] [--type T] [--enabled] [--disabled]
agent_infini db enable <id> [id...]
agent_infini db disable <id> [id...]
bash
agent_infini rag ls [--keyword K] [--enabled] [--disabled]
agent_infini rag enable <id> [id...]
agent_infini rag disable <id> [id...]

Useful global flags:

  • --json: force JSON output
  • --table: force table output for list commands
  • --api-key <key>: override configured API key for this call
  • --server <url>: override server address
  • --console <url>: override Console API URL
  • --prefer-language <lang>: en, zh_CN, ar, ja, ko, ru

Output and errors

Default output is JSON:

json
{"success": true, "data": {}}
{"success": false, "error": "error message"}

Common fixes:

  • Token expired: update Settings -> Credentials or rerun agent_infini init
  • Server unreachable: check network and --server
  • Task not found: run agent_infini task ls
  • No enabled resources: run agent_infini task context, then enable DBs/RAGs

Frequently asked questions

What does the Agent Infini AI skill do?

Use the InfiniSynapse CLI (`agent_infini`) for multi-turn AI data-analysis tasks, database/RAG context, and task workspace files. Use when the user mentions InfiniSynapse, agent_infini, database or RAG analysis, or asks to delegate analysis through InfiniSynapse.

Why use Agent Infini on TypingMind?

Because you install it once and use it with any model. Agent Infini 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 Agent Infini in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xuzhougeng/wisp-science/tree/main/skills/agent-infini. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Infini?

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 Agent Infini?

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

Is the Agent Infini AI skill free?

Yes. It is published on GitHub by xuzhougeng under the Apache-2.0 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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