ReMe/doc/future_roadmap.md

🗺️ ExperienceMaker Future Roadmap

P0 - Ready-to-Use Experience Libraries

We aim to build curated experience libraries for complex scenarios, providing battle-tested best practices and lessons learned rather than simple documentation aggregation.

Just as financial analysts develop analytical frameworks, senior engineers establish coding standards, and education experts create teaching methodologies, AI agents can build professional experience repositories. Start your AI projects standing on the shoulders of giants.

Core Features:

• Pre-built experience libraries for key domains
  • Finance
  • Coding
  • Education
  • Research
• Experience marketplace: community-driven experience sharing and exchange

P0 - Support for Rich Experience Formats

Expert knowledge extends beyond text to include debugged code, fine-tuned toolchains, and validated workflows. We aim to integrate diverse experience carriers:

• Executable Code: Functions, code files, and scripts
• Tool Integration: APIs, MCP configurations, and tool setups
• Pipeline Templates: Agent execution pipelines and multi-step tool combinations

P0 - MCP Integration

Modernize our API architecture by migrating three core APIs to the Model Context Protocol (MCP) standard for improved interoperability and standardization.

• Summarizer API
• Retriever API
• Vector Store API

P1 - Experience Validation & Optimization

AI-powered analysis of experience usage patterns and effectiveness, with automatic quality optimization and cross-task validation feedback loops.

P2 - Universal Trajectory Experience Extraction

Raw Data Processing

• Automatic extraction of valuable experiences from agent execution logs
• Multimodal support: images, videos, and other formats

Vision

Transform valuable experience data from daily work into usable insights:

• Communication techniques from emails
• Optimization insights from code commits
• Decision-making processes from meeting recordings

Enable AI to naturally become stronger through everyday work, rather than wasting real-world experience data due to format limitations.

P2 - Open Source Experience Libraries

Democratize AI experience sharing by making curated experience libraries publicly available on Hugging Face, enabling the broader AI community to benefit from and contribute to professional experience repositories.

• Hugging Face Integration: Upload and maintain experience libraries on Hugging Face Hub
• Community Contributions: Enable community-driven experience library improvements and additions
• Standardized Formats: Establish standard formats for experience sharing across different domains
• Version Control: Implement versioning system for experience library updates and improvements

Current TODO

• op dev & test ready @jiaji

• cook_book-appworld code & readme @jiaji

• cook_book-bfcl-v3 op @zouyin delay 0730

• fix multi-process bug @jinli

• logo optimize @jiaji

• Ready-made Experience Store @jinli, add appworld/bfcl-v3 default experience store @jiaji

• op config make up @jinli

• config make up, easy to understand @jinli

• refine readme @jinli

• bugfix dump/load experience @jinli dump@jiaji

• integrate into beyond-agent @jinli

• rm workspace_id in code @jinli