apunkt/MetaGPT
1
0
Fork 0
mirror of https://github.com/FoundationAgents/MetaGPT.git synced 2026-05-24 14:15:17 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Merge branch 'dev' into code_intepreter

Browse source
This commit is contained in:
yzlin 2024-01-31 00:08:09 +08:00
commit 2fcb2a1cfe
282 changed files with 6993 additions and 3210 deletions
Download patch file Download diff file Expand all files Collapse all files

39
docs/ROADMAP.md
View file

@ -9,24 +9,22 @@ ### 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 0.5.
3. Implement most identified tasks, reaching version 1.0.
### Tasks
To reach version v0.5, approximately 70% of the following tasks need to be completed.
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
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)
2. ~~Establish a separate output queue, differentiated from the message queue~~
3. Attempt to atomize all role work, but this may significantly increase token overhead
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
@ -43,10 +41,10 @@ ### Tasks
4. Actions
1. ~~Implementation: Search~~ (v0.2.1)
2. Implementation: Knowledge search, supporting 10+ data formats
3. Implementation: Data EDA (expected v0.6.0)
4. Implementation: Review
5. ~~Implementation~~: Add Document (v0.5.0)
6. ~~Implementation~~: Delete Document (v0.5.0)
3. Implementation: Data EDA (expected v0.7.0)
4. Implementation: Review & Revise (expected 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
@ -64,15 +62,14 @@ ### Tasks
3. ~~Support Playwright apis~~
7. Roles
1. Perfect the action pool/skill pool for each role
2. Red Book blogger
3. E-commerce seller
4. Data analyst (expected v0.6.0)
5. News observer
6. ~~Institutional researcher~~ (v0.2.1)
2. E-commerce seller
3. Data analyst (expected v0.7.0)
4. News observer
5. ~~Institutional researcher~~ (v0.2.1)
8. 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 v0.6.0)
3. Support an evaluation on a math dataset (expected v0.7.0)
4. Reproduce papers, achieving SOTA results for current mathematical problem solving process
9. LLM
1. Support Claude underlying API
@ -80,7 +77,7 @@ ### Tasks
3. Support streaming version of all APIs
4. ~~Make gpt-3.5-turbo available (HARD)~~
10. 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
1. ~~Clean up existing unused code~~
2. ~~Unify all code styles and establish contribution standards~~
3. ~~Multi-language support~~
4. ~~Multi-programming-language support~~