# KoboldCpp v1.122 adds integrated agent with 9 tools

Digest AI · Agents & Tools · published 2026-09-26T22:24:22Z

Canonical: https://digestai.news/story/koboldcpp-v1-122-adds-integrated-agent-with-9-tools

## Summary

KoboldCpp has released version 1.122, introducing a bundled agentic harness designed as a lightweight alternative to tools like Opencode, Codex, or Claude Code. This new agent feature includes nine built-in tools and operates with a minimal system prompt of only 2k tokens. Users can enable the agent via the GUI's Admin tab or by adding the `--agent` flag to launch parameters. The system supports third-party backends and any OpenAI Chat Completions compatible endpoint, allowing for flexible integration.

The release also introduces three approval modes for tool calling: on, auto, and off, with a caution advised for auto-approval. To function effectively, the agent requires a minimum context of 28k tokens and a generation amount of 8k tokens, with a recommendation of at least 12GB VRAM for optimal performance. A downloadable template is available for the Qwen 3.6 35BA3B model to help users get started quickly.

Other updates in this version include the ability to specify `ubatchsize` independently from `batchsize`, similar to llama.cpp, and the removal of the pipeline parallel flag, which now auto-enables when `ubatch` is smaller than `batchsize`. The release also fixes VRAM usage issues, improves music UI, and allows for audio code generation when using LLMs for lyrics. Package maintainers should note a breaking change to the `koboldcpp.sh` script, which now optimizes for the target platform unless the `KCPPPORTABLE=1` environment variable is set.

## Key points

- KoboldCpp v1.122 ships with a bundled agent harness featuring 9 built-in tools.
- The agent requires at least 28k context and 8k generation tokens to function effectively.
- Users can enable the agent via the GUI Admin tab or the --agent launch flag.

## Why it matters

This release lowers the barrier to running local agentic workflows by integrating a lightweight, low-token-overhead agent directly into a popular local LLM runner, making autonomous tool use more accessible for developers without heavy cloud dependencies.

## Sources

1. [Koboldcpp v1.122 released](https://github.com/LostRuins/koboldcpp/releases/tag/v1.122) (github.com, 2026-09-26, primary source)

## Cite

Digest AI, "KoboldCpp v1.122 adds integrated agent with 9 tools", 26 September 2026, https://digestai.news/story/koboldcpp-v1-122-adds-integrated-agent-with-9-tools

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