922 Roadmap 1d44b01b

Product Roadmap

Aden Agent Framework aims to help developers build outcome oriented, self-adaptive agents. Please find our roadmap here

flowchart TD
subgraph Foundation
    direction LR
    subgraph arch["Architecture"]
        a1["Node-Based Architecture"]:::done
        a2["Python SDK"]:::done
        a3["LLM Integration"]:::done
        a4["Communication Protocol"]:::done
    end
    subgraph ca["Coding Agent"]
        b1["Goal Creation Session"]:::done
        b2["Worker Agent Creation"]
        b3["MCP Tools"]:::done
    end
    subgraph wa["Worker Agent"]
        c1["Human-in-the-Loop"]:::done
        c2["Callback Handlers"]:::done
        c3["Intervention Points"]:::done
        c4["Streaming Interface"]
    end
    subgraph cred["Credentials"]
        d1["Setup Process"]:::done
        d2["Pluggable Sources"]:::done
        d3["Enterprise Secrets"]
        d4["Integration Tools"]:::done
    end
    subgraph tools["Tools"]
        e1["File Use"]:::done
        e2["Memory STM/LTM"]:::done
        e3["Web Search/Scraper"]:::done
        e4["CSV/PDF"]:::done
        e5["Excel/Email"]
    end
    subgraph core["Core"]
        f1["Eval System"]
        f2["Pydantic Validation"]:::done
        f3["Documentation"]:::done
        f4["Adaptiveness"]
        f5["Sample Agents"]
    end
end

subgraph Expansion
    direction LR
    subgraph intel["Intelligence"]
        g1["Guardrails"]
        g2["Streaming Mode"]
        g3["Image Generation"]
        g4["Semantic Search"]
    end
    subgraph mem["Memory Iteration"]
        h1["Message Model & Sessions"]
        h2["Storage Migration"]
        h3["Context Building"]
        h4["Proactive Compaction"]
        h5["Token Tracking"]
    end
    subgraph evt["Event System"]
        i1["Event Bus for Nodes"]
    end
    subgraph cas["Coding Agent Support"]
        j1["Claude Code"]
        j2["Cursor"]
        j3["Opencode"]
        j4["Antigravity"]
    end
    subgraph plat["Platform"]
        k1["JavaScript/TypeScript SDK"]
        k2["Custom Tool Integrator"]
        k3["Windows Support"]
    end
    subgraph dep["Deployment"]
        l1["Self-Hosted"]
        l2["Cloud Services"]
        l3["CI/CD Pipeline"]
    end
    subgraph tmpl["Templates"]
        m1["Sales Agent"]
        m2["Marketing Agent"]
        m3["Analytics Agent"]
        m4["Training Agent"]
        m5["Smart Form Agent"]
    end
end

classDef done fill:#9e9e9e,color:#fff,stroke:#757575

Phase 1: Foundation

Backbone Architecture

• Node-Based Architecture (Agent as a node)
  • Object schema definition
  • Node wrapper SDK
  • Shared memory access
  • Default monitoring hooks
  • Tool access layer
  • LLM integration layer (Natively supports all mainstream LLMs through LiteLLM)
    • Anthropic
    • OpenAI
    • Google
• Communication protocol between nodes
• [Coding Agent] Goal Creation Session (separate from coding session)
  • Instruction back and forth
  • Goal Object schema definition
  • Being able to generate the test cases
  • Test case validation for worker agent (Outcome driven)
• [Coding Agent] Worker Agent Creation
  • Coding Agent tools
  • Use Template Agent as a start
  • Use our MCP tools
• [Worker Agent] Human-in-the-Loop
  • Worker Agents request with questions and options
  • Callback Handler System to receive events throughout execution
  • Tool-Based Intervention Points (tool to pause execution and request human input)
  • Multiple entrypoint for different event source (e.g. Human input, webhook)
  • Streaming Interface for Real-time Monitoring
  • Request State Management

Credential Management

• Credentials Setup Process
  • Install Credential MCP
• Pluggable Credential Sources
  • Abstraction & Local Sources
    • Introduce CredentialSource base class
    • Refactor existing logic into EnvVarSource
    • Implementation of Source Priority Chain mechanism
    • Foundation unit tests
  • Enterprise Secret Managers
    • VaultSource (HashiCorp Vault)
    • AWSSecretsSource (AWS Secrets Manager)
    • AzureKeyVaultSource (Azure Key Vault)
    • Management of optional provider dependencies
  • Advanced Features
    • Credential expiration and auto-refresh
    • Audit logging for compliance/tracking
    • Per-environment configuration support
  • Documentation & DX
    • Comprehensive source documentation
    • Example configurations for all providers
  • Integration as tools coverage
    • Gsuite Tools
    • Social Media
      • Twitter(X)
      • Github
      • Instagram
    • SAAS
      • Hubspot
      • Slack
      • Teams
      • Zoom
      • Stripe
      • Salesforce

[!IMPORTANT] Community Contribution Wanted: We appreciate help from the community to expand the "Integration as tools" capability. Leave an issue of the integration you want to support via Hive!

Essential Tools

• File Use Tool Kit
• Memory Tools
  • STM Layer Tool (state-based short-term memory)
  • LTM Layer Tool (RLM - long-term memory)
• Infrastructure Tools
  • Runtime Log Tool (logs for coding agent)
  • Web Search
  • Web Scraper
  • CSV tools
  • PDF tools
  • Excel tools
  • Email Tools
  • Recipe for "Add your own tools"

Memory & File System

• DB for long-term persistent memory (Filesystem as durable scratchpad pattern)
• Session Local memory isolation

Eval System (Basic)

• Test Driven - Run test case for all agent iteration
• Failure recording mechanism
• SDK for defining failure conditions
• Basic observability hooks
• User-driven log analysis (OSS approach)

Data Validation

• Natively Support data validation of LLMs output with Pydantic

Developer Experience

• MVP Features
  • Debugging mode
  • CLI tools for memory management
  • CLI tools for credential management
• MVP Resources & Documentation
  • Quick start guide
  • Goal creation guide
  • Agent creation guide
  • GitHub Page setup
  • README with examples
  • Contributing guidelines
  • Introduction Video

Adaptiveness

• Runtime data feedback loop
• Instant Developer Feedback for improvement

Sample Agents

• Knowledge Agent
• Blog Writer Agent
• SDR Agent

Phase 2: Expansion

Basic Guardrails

• Support Basic Monitoring from Agent node SDK
• SDK guardrail implementation (in node)
• Guardrail type support (Determined Condition as Guardrails)

Agent Capability

• Streaming mode support
• Image Generation support
• Take end user input Image and flatfile understand capability

Event-loop For Nodes (Opencode-style)

• Event bus

Memory System Iteration

• Message Model & Session Management
  • Introduce Message class with structured content types
  • Implement Session classes for conversation state
• Storage Migration
  • Implement granular per-message file persistence (/message/[agentID]/...)
  • Migrate from monolithic run storage
• Context Building & Conversation Loop
  • Implement Message.stream(sessionID)
  • Update LLMNode.execute() for full context building
  • Implement Message.toModelMessages() conversion
• Proactive Compaction
  • Implement proactive overflow detection
  • Develop backward-scanning pruning strategy (e.g., clearing old tool outputs)
• Enhanced Token Tracking
  • Extend LLMResponse to track reasoning and cache tokens
  • Integrate granular token metrics into compaction logic

Coding Agent Support

• Claude Code
• Cursor
• Opencode
• Antigravity

File System Enhancement

• Semantic Search integration
• Interactive File System in product (frontend integration)

More Worker Tools

• Custom Tool Integrator
• Integration as a tool (Credential Store & Support)
• Core Agent Tools
  • Node Discovery Tool (find other agents in the graph)
  • HITL Tool (pause execution for human approval)
  • Wake-up Tool (resume agent tasks)

Deployment (Self-Hosted)

• Workder agent docker container standardization
• Headless backend execution
• Exposed API for frontend attachment
• Local monitoring & observability
• Basic lifecycle APIs (Start, Stop, Pause, Resume)

Deployment (Cloud)

• Cloud Service Options
• Support deployment to 3rd-party platforms
• Self-deploy + orchestrator connection
• CI/CD Pipeline
  • Automated test execution
  • Agent version control
  • All tests must pass for deployment

Developer Experience Enhancement

• Tool usage documentation
• Discord Support Channel

More Agent Templates

• GTM Sales Agent (workflow)
• GTM Marketing Agent (workflow)
• Analytics Agent
• Training Agent
• Smart Entry / Form Agent (self-evolution emphasis)

Cross-Platform

• JavaScript / TypeScript Version SDK
• Better windows support