Datasetpublic

insym/hermes-agent-reasoning-traces

Hermes Agent Reasoning Traces Multi-turn tool-calling trajectories for training AI agents using the Hermes Agent harness. Each sample is a real agent conversation with step-by-step reasoning (<think> blocks) and actual tool execution results. This dataset has two configs, one per source model: Config Model Samples kimi Moonshot AI Kimi-K2.5 7,646 glm-5.1 ZhipuAI GLM-5.1-FP8 7,055 Loading from datasets import load_dataset # Kimi-K2.5 traces ds =… See the full description on the dataset page: https://huggingface.co/datasets/insym/hermes-agent-reasoning-traces.

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Hermes Agent Reasoning Traces

Multi-turn tool-calling trajectories for training AI agents using the Hermes Agent harness. Each sample is a real agent conversation with step-by-step reasoning (<think> blocks) and actual tool execution results.

This dataset has two configs, one per source model:

Config	Model	Samples
kimi	Moonshot AI Kimi-K2.5	7,646
glm-5.1	ZhipuAI GLM-5.1-FP8	7,055

Loading

python

from datasets import load_dataset

# Kimi-K2.5 traces
ds = load_dataset("lambda/hermes-agent-reasoning-traces", "kimi", split="train")

# GLM-5.1 traces
ds = load_dataset("lambda/hermes-agent-reasoning-traces", "glm-5.1", split="train")

Schema

Both configs share the same schema:

Field	Type	Description
`id`	string	UUID identifier
`conversations`	list	Multi-turn dialogue (system, human, gpt, tool messages)
`tools`	string	JSON tool definitions available to the agent
`category`	string	High-level task category
`subcategory`	string	Fine-grained task type
`task`	string	Task description (from user prompt)

Conversation messages use ShareGPT format:

json

{"from": "system|human|gpt|tool", "value": "..."}

—<think> blocks contain chain-of-thought reasoning
—<tool_call> blocks contain function invocations
—<tool_response> blocks contain real execution results

Statistics

Metric	kimi	glm-5.1
Samples	7,646	7,055
Total turns	185,798	134,918
Total tool calls	106,222	68,328
Avg turns per sample	24.3	19.1
Avg tool calls per sample	13.9	9.7
Avg `<think>` depth (words)	414	70

Category	kimi	glm-5.1
Terminal & Coding	2,010	2,237
Agent Tools	1,474	2,775
Repository Tasks	1,109	1,022
Browser Automation	1,048	639
Multi-Tool	807	52
File Operations	757	134
Scheduling	204	104
Planning & Organization	201	92
Conversational	36	0

Generation Details

Kimi-K2.5

—Model: moonshotai/Kimi-K2.5 (MoE)
—Inference: vLLM with --tool-call-parser kimi_k2 --reasoning-parser kimi_k2 --enable-auto-tool-choice

GLM-5.1

—Model: zai-org/GLM-5.1-FP8
—Inference: vLLM with --tool-call-parser glm47 --reasoning-parser glm45 --enable-auto-tool-choice
—Serving: 3x 8xH100 nodes via load-balanced gateway
—Context: 202,752 tokens max, MTP speculative decoding

Both datasets were generated using the hermes-agent-generator pipeline with real tool execution (terminal commands, file operations, browser actions) — not synthetic outputs.

Data Sources

Both datasets include trajectories across the same task categories:

—Terminal & Coding — script writing, debugging, environment setup, data processing, testing, documentation
—Browser Automation — Playwright-based navigation, scraping, form filling, screenshot analysis
—Agent Tools — Hermes-specific capabilities: memory persistence, task delegation, skill management, todo planning, code execution, session recall
—Repository Tasks — real codebase work across GitHub repos: bug fixes, feature implementation, test writing, code review, refactoring

License

Apache 2.0