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Agent Runtime

ReAct engine with multi-step iteration

200+ Connections

MCPX native handlers + Runtime sandbox

Knowledge & RAG

Memory buckets with hybrid search

GlassBox IDE

Chat-driven agent customization

Dataset Creation Lab

290M+ scholarly works · 9 AI agents

Training Pipeline

Fine-tune 33+ open-source models

Marketplace

Publish and monetize agents & datasets

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Layer 4 — Development

GlassBox IDE

A full development environment to build, customize, and deploy any type of autonomous AI agent. Edit configurations through chat, visualize execution in real-time, and ship agents with intelligent memory — all from one interface.

Build any agent · YAML-based config · Real-time SSE streaming · Intelligent vector memory · 200+ tool integrations

Start Building All Features
GlassBox IDE — research-agent
CONNECTED
Explorer
config.yaml
system_prompt.md
tools/
web_search.yaml
connections.yaml
knowledge/
research_corpus.pdf
guidelines.md
config.yaml
system_prompt.md
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agent
name: "Research Assistant"
description: "Deep research & report agent"
workflow
max_iterations: 25
model_tier: "turbo"
reasoning: true
tools
- web_search
max_results: 10
domains: ["scholar", "arxiv"]
- connections
inherit: true
memory
enabled: true
search_mode: "hybrid"
auto_index: true
system_prompt: "You are a research..."
YAMLUTF-8
Ln 6, Col 18Agent: Ready

Create Any Type of Agent

From medical assistants to research agents to marketing automations to legal reviewers — design the agent, define the workflow, pick the model, and deploy. No limits on what you can build.

Medical Agent

Analyze patient data, review medical literature, assist with differential diagnosis, and generate clinical summaries with evidence-based citations.

1
Ingest clinical data
2
Search medical literature
3
Analyze & cross-reference
4
Generate clinical report

Research Agent

Deep-dive research across the web and your knowledge bases. Synthesize findings into structured reports with citations.

1
Receive query
2
Search & gather sources
3
Cross-reference data
4
Generate report

Chat-Driven Agent

Build conversational agents that handle customer support, onboarding, FAQs, and multi-turn dialogues with persistent memory across sessions.

1
Understand user intent
2
Recall context from memory
3
Generate response
4
Learn & improve

Marketing Agent

Create campaigns, manage ad platforms, generate creatives, and analyze performance — all autonomously.

1
Define campaign goals
2
Create ad structure
3
Generate creatives
4
Monitor & optimize

Legal Agent

Review contracts, extract clauses, compare against templates, and flag compliance risks automatically.

1
Ingest documents
2
Extract key clauses
3
Compare & analyze
4
Generate summary

Engineering Agent

Debug code, write tests, manage deployments, monitor infrastructure, and automate DevOps workflows.

1
Analyze codebase
2
Plan changes
3
Execute & test
4
Deploy & verify

Creative Agent

Generate images, write copy, design layouts, and produce content across multiple formats and channels.

1
Understand brief
2
Generate concepts
3
Iterate on feedback
4
Deliver assets

Custom Agent

Build any agent for any domain. Define custom tools, workflows, models, and memory — completely from scratch.

1
Define goal & tools
2
Configure workflow
3
Test & iterate
4
Deploy to production

Design Any Workflow

Chain agents sequentially where each stage feeds the next, or run worker agents in parallel for maximum throughput. Mix both patterns in a single workflow.

Sequential Pipeline

Each stage feeds into the next

Build multi-step workflows where each agent completes its task before passing results to the next. Perfect for research-to-report, draft-to-review, or extract-to-analyze flows.

1

Researcher

Gathers data from web & knowledge bases

2

Generator

Creates report from research findings

3

Validator

Fact-checks, scores quality, flags issues

workflow: sequential · 3 stages · output passes forward

Parallel Workers

Multiple agents run simultaneously

Spawn multiple worker agents that execute in parallel. Results are collected and merged when all workers complete. Ideal for multi-source research, batch processing, or A/B testing.

Coordinator

Distributes tasks to workers

Worker A

Web sources

Worker B

Internal docs

Worker C

Competitor data

Aggregator

Merges results into final output

workflow: parallel · 3 workers · results merged on completion

Thread-Scoped Intelligent Memory

Every conversation thread gets its own vector memory store. As the agent works, key insights, decisions, and facts are automatically embedded and stored — enabling perfect recall across long, multi-turn conversations.

High-Dimensional Embeddings

State-of-the-art 1024-dimensional embeddings for deep semantic understanding of every piece of information.

Hybrid Search

Combines keyword matching with semantic vector search. Get exact matches and conceptual relevance in a single query.

Automatic Indexing

Tool results, web search findings, and key conversation points are indexed automatically — no manual curation needed.

Thread Isolation

Each conversation thread has isolated memory. Switch between threads with complete context separation.

Memory Store — Thread #2847

0.94Q4 campaign strategytool_result2m ago
0.91Target audience: 25-45 tech professionalsconversation5m ago
0.89Budget allocation: 60% Meta, 40% Googledecision8m ago
0.87Competitor analysis resultsweb_search12m ago
0.85Brand guidelines from knowledge baserag_result15m ago
147 embeddings indexed1024-dim · hybrid search

Real-Time SSE Streaming

Watch your agent think, reason, and act in real-time. Every operation streams structured events — from the first token to the final cost summary.

SSE Event Stream
token

Incremental text tokens as the agent generates

thinking

Internal reasoning traces and chain-of-thought

tool_start

Tool invocation begins with name and parameters

tool_result

Tool execution completes with results

sources

Referenced URLs and documents used

agent_spawn

Sub-agent spawned for parallel tasks

error

Error details with recovery context

done

Stream complete with cost and token summary

Built-in Tool System

GlassBox agents come with powerful built-in tools and inherit all connections from the parent Neura agent. Define custom tools or use what's already there.

Web Search

Real-time web search built in. Configurable result count, domain filtering, and content extraction. Results are automatically indexed into thread memory.

200+ Connections

Transparent bridge to all of Neura's service connections. Ads platforms, CRMs, messaging, cloud storage, dev tools — all available without extra configuration.

Custom Tools

Define custom tools with JSON schemas in your config. Tools are dynamically loaded and validated at runtime. Add API integrations, data processors, or any custom logic.

Execution Log
[search]Searching: "AI agent market trends 2026"
[search]8 results found, top 3 indexed to memory
[sheets]Reading: google_sheets("Analytics!A1:G50")
[sheets]50 rows retrieved, parsing data...
[memory]Storing 5 key insights to thread memory
[agent]Iteration 3/25 — Cross-referencing sources...
[artifact]Generating research report artifact...
[done]Task complete — 3 tools, 5 iterations, $0.03

Choose Your Model Tier

Every agent can use a different model tier. Mix Standard for cost efficiency, Turbo for complex reasoning, and Finetuned for domain-specific tasks.

StandardBest value

Production-grade open-source models with excellent cost efficiency. Ideal for most agent workflows.

TurboMost capable

Premium frontier models for complex reasoning, creative tasks, and high-stakes decisions.

FinetunedDomain-specific

Deploy your own fine-tuned models trained on domain-specific data through Neura's Training Pipeline.

Import Agent Config

Import any Neura agent's full configuration into GlassBox. System prompts, tool configs, and workflow definitions are instantly editable.

Hidden Sensitive Files

API keys, credentials, and internal configs are automatically hidden from the chat interface. Full security without manual configuration.

One-Click Reset

Experiment freely — reset any file or the entire project to its original state with a single click. Every version is preserved.

Everything you need to build agents

Chat-Driven Development

Describe changes in natural language. The IDE modifies system prompts, tool configs, workflows, and model settings — no code required.

Modular Workflows

Design agent workflows with configurable stages. Each stage can use different models, tools, and logic — compose them into powerful pipelines.

Intelligent Memory

Every conversation thread has its own vector memory. High-dimensional embeddings with hybrid keyword + semantic search for perfect recall.

200+ Tool Integrations

Connect to any service through the native tool bridge. Your GlassBox agent inherits all tools from the parent Neura agent automatically.

Built-in Web Search

Native web search built right in. Agents can research, verify facts, and pull real-time data from the web during any task.

Real-Time Streaming

Watch your agent think, plan, and act in real-time. SSE streams deliver tokens, reasoning traces, tool calls, sources, and artifacts live.

Multi-Model Selection

Choose from Standard, Turbo, and Finetuned model tiers. Different stages of your workflow can use different models optimized for their role.

YAML Configuration

Every agent is defined by a clean config file — workflows, model settings, tool definitions, memory config, and system prompts in one place.

Secure by Default

Sensitive files are hidden from the chat interface. Content sanitization prevents prompt injection. Full audit trail for every change.

Build agents your way

From simple chatbots to complex autonomous workflows — GlassBox gives you full control over every aspect of your agent's behavior.

Start Building Read the Docs