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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

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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