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AI Capabilities

What TchueKAM's agent can do, and how.

Reasoning​

TchueKAM uses state-of-the-art language understanding to:

  • Break down complex questions into steps
  • Plan multi-step tasks before acting
  • Explain its reasoning when asked
  • Recognize when it needs more information

Tool use​

The agent doesn't just talk — it acts. Built-in tools include:

  • File operations — read, write, edit, search across your workspace
  • Shell execution — run commands with your approval
  • Web search and fetch — bring in fresh information
  • Image analysis — understand screenshots and diagrams
  • Code execution — run Python, JavaScript, and shell scripts in a sandbox

TchueKAM picks the right tool for each task automatically.

Memory​

  • Short-term memory — tracks the current conversation thread
  • Long-term memory — remembers important facts about you and your projects across sessions
  • Workspace memory — separate context per folder

You can review, edit, and delete memories at any time from Settings → Memory.

Code understanding​

  • Reads and reasons about codebases in any major language
  • Detects bugs, security issues, and code smells
  • Suggests refactors with rationale
  • Generates tests that actually run

Multi-step workflows​

Ask TchueKAM to do something complex like "set up a new React project with TypeScript, Tailwind, and a basic auth flow" — it'll plan, execute step-by-step, and check in with you when decisions need your input.

Privacy boundaries​

  • The agent never sends data outside your machine without an explicit user action
  • File reads, shell commands, and network requests are all logged
  • You can audit every action TchueKAM took from Settings → Activity Log

Limits​

TchueKAM is powerful but not omniscient. It can:

  • Make mistakes — always verify generated code before running in production
  • Be slow on very large files or codebases — break tasks into smaller chunks
  • Miss recent information — use web search for anything time-sensitive