| ## Roadmap | |
| ### Long-term Objective | |
| Enable MetaGPT to self-evolve, accomplishing self-training, fine-tuning, optimization, utilization, and updates. | |
| ### Short-term Objective | |
| 1. Become the multi-agent framework with the highest ROI. | |
| 2. Support fully automatic implementation of medium-sized projects (around 2000 lines of code). | |
| 3. Implement most identified tasks, reaching version 1.0. | |
| ### Tasks | |
| 1. Usability | |
| 1. ~~Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully)~~ (v0.3.0) | |
| 2. ~~Support for overall save and recovery of software companies~~ (v0.6.0) | |
| 3. ~~Support human confirmation and modification during the process~~ (v0.3.0) New: Support human confirmation and modification with fewer constrainsts and a more user-friendly interface | |
| 4. Support process caching: Consider carefully whether to add server caching mechanism | |
| 5. ~~Resolve occasional failure to follow instruction under current prompts, causing code parsing errors, through stricter system prompts~~ (v0.4.0, with function call) | |
| 6. Write documentation, describing the current features and usage at all levels (ongoing, continuously adding contents to [documentation site](https://docs.deepwisdom.ai/main/en/guide/get_started/introduction.html)) | |
| 7. ~~Support Docker~~ | |
| 2. Features | |
| 1. ~~Support a more standard and stable parser (need to analyze the format that the current LLM is better at)~~ (v0.5.0) | |
| 2. ~~Establish a separate output queue, differentiated from the message queue~~ (v0.5.0) | |
| 3. ~~Attempt to atomize all role work, but this may significantly increase token overhead~~ (v0.5.0) | |
| 4. Complete the design and implementation of module breakdown | |
| 5. Support various modes of memory: clearly distinguish between long-term and short-term memory | |
| 6. Perfect the test role, and carry out necessary interactions with humans | |
| 7. ~~Allowing natural communication between roles~~ (v0.5.0) | |
| 8. Implement SkillManager and the process of incremental Skill learning (experimentation done with game agents) | |
| 9. Automatically get RPM and configure it by calling the corresponding openai page, so that each key does not need to be manually configured | |
| 10. ~~IMPORTANT: Support incremental development~~ (v0.5.0) | |
| 3. Strategies | |
| 1. Support ReAct strategy (experimentation done with game agents) | |
| 2. Support CoT strategy (experimentation done with game agents) | |
| 3. ~~Support ToT strategy~~ (v0.6.0) | |
| 4. Support Reflection strategy (experimentation done with game agents) | |
| 5. ~~Support planning~~ (v0.7.0) | |
| 4. Actions | |
| 1. ~~Implementation: Search~~ (v0.2.1) | |
| 2. Implementation: Knowledge search, supporting 10+ data formats | |
| 3. ~~Implementation: Data EDA~~ (v0.7.0) | |
| 4. ~~Implementation: Review & Revise~~ (v0.7.0) | |
| 5. ~~Implementation: Add Document~~ (v0.5.0) | |
| 6. ~~Implementation: Delete Document~~ (v0.5.0) | |
| 7. Implementation: Self-training | |
| 8. ~~Implementation: DebugError~~ (v0.2.1) | |
| 9. Implementation: Generate reliable unit tests based on YAPI | |
| 10. Implementation: Self-evaluation | |
| 11. Implementation: AI Invocation | |
| 12. ~~Implementation: Learning and using third-party standard libraries~~ (v0.7.0) | |
| 13. Implementation: Data collection | |
| 14. Implementation: AI training | |
| 15. ~~Implementation: Run code~~ (v0.2.1) | |
| 16. ~~Implementation: Web access~~ (v0.2.1) | |
| 5. Tools | |
| 1. ~~Support SERPER api~~ | |
| 2. ~~Support Selenium apis~~ | |
| 3. ~~Support Playwright apis~~ | |
| 4. Plugins: Compatibility with plugin system | |
| 6. Roles | |
| 1. Perfect the action pool/skill pool for each role | |
| 2. E-commerce seller | |
| 3. ~~Data analyst~~ (v0.7.0) | |
| 4. News observer | |
| 5. ~~Institutional researcher~~ (v0.2.1) | |
| 6. User | |
| 7. Evaluation | |
| 1. Support an evaluation on a game dataset (experimentation done with game agents) | |
| 2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results (experimentation done with game agents) | |
| 3. Support an evaluation on a math dataset (expected v0.8.0) | |
| 4. Reproduce papers, achieving SOTA results for current mathematical problem solving process (expected v0.8.0) | |
| 8. LLM | |
| 1. ~~Support Claude underlying API~~ | |
| 2. ~~Support Azure asynchronous API~~ | |
| 3. ~~Support streaming version of all APIs~~ | |
| 4. ~~Make gpt-3.5-turbo available (HARD)~~ | |
| 9. Other | |
| 1. ~~Clean up existing unused code~~ | |
| 2. ~~Unify all code styles and establish contribution standards~~ | |
| 3. ~~Multi-language support~~ | |
| 4. ~~Multi-programming-language support~~ |