Agent infini

Skill xuzhougeng/wisp-science/skills/agent-infini

Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.

Install

npx -y skills add xuzhougeng/wisp-science --skill agent-infini

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What its author says it does

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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.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.1 KB, as published. Nobody here has run it

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:

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

If the CLI is missing, install it:

irm https://infinisynapse.cn/cli-install/install.ps1 | iex

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

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

Commands

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]

agent_infini db ls [--name N] [--type T] [--enabled] [--disabled]
agent_infini db enable <id> [id...]
agent_infini db disable <id> [id...]

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:

{"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