cpacker commented 7 months ago

Q2 2024 Roadmap

🚀 Link to GitHub project board tracking all of the roadmap items 👋 Looking for smaller things to work on? Check the community contributions or bug tracker project boards ✍️ Leave comments or message us on Discord to suggest changes to the roadmap

More MemGPT LLM backends / API supported [early April]

[x] Groq
- 1203
- TODO via beta function calling API
- 1257
[x] Claude
- 1239
[x] Cohere
- 1246
[x] Gemini
- 1209
[ ] Together
[ ] Mistral
[ ] Add unit tests for all the officially supported API providers (with reference configs contained in main) to avoid regression
- OpenAI, Anthropic, Groq, Together, Mistral, Gemini
[ ] Consolidate inference backend options into a single config style:
- i.e.: openai-chat-completions (= OpenAI, Azure, APIs with function calling), openai-completions (= vLLM, lmstudio, ollama), ...

MemGPT developer examples

[ ] Native multi-agent interaction (via multiple MemGPT agents running on a MemGPT server process)
- [ ] Example "agent orchestrator" meta-agent where one agent controls send_message calls to other agents
- in this example, all the agents share a groupchat state similar to AutoGen
- [ ] Example free-chat where each agent can freely broadcast send_message calls to other agents
- need to handle "race conditions" where agent is busy (the calling agent should receive an informative message reply)
- in this example, the only shared state between agents is via communication on send_message calls
[ ] Discord / Slack chatbot examples (connecting send_message to external APIs)
- [ ] Example Discord + Slack + Twilio send_message tool + message listen hook (needs a dedicated section in dev portal)
[ ] GitHub / Discord support chatbot examples (e.g. Dosubot)
- [ ] Example read_issue, list_issues + comment-posted-to-API-call hooks

MemGPT server

[x] One-click deployment container [early April]
[ ] Instructions / tutorial for deploying MemGPT server to Azure/GCP/AWS/... [mid April]

MemGPT API

[ ] Token streaming support [mid-April]
[ ] Production-ready stable API [mid-April]

OpenAI Assistants API

[ ] Continued improvements to OpenAPI Assistants API support: #892

MemGPT Client / SDK

[ ] Javascript/Typescript client

Developer portal / Chat UI

[x] Alpha release [early April]
[ ] Addition of missing features for beta release in MemGPT v0.4 [early April]
- [ ] Preset creation / editing
- [ ] Custom function / tool creation (via the UI)
- [ ] Message (user+system+assistant) editing + rerunning / regenerating messages
- [ ] Custom prompt formatting
[ ] Cron job scheduling inside of dev portal
- Make it easy to schedule automated jobs that hit the MemGPT server
- Cron-style custom functions: MemGPT can schedule one off or recurring messages to itself, ie ‘Scheduled Inner Monologue’

Hosted service

[ ] Hosted service [end of April]
- Release hosted MemGPT server so that developers can directly interact with the API
[ ] Allows developers to use the MemGPT API without requiring any self-hosting (just API keys)
- Release hosted chat UI app (with guest + login modes) to allow easy use / experimentation with MemGPT via chat UI only
- Accounts are shared with the hosted API server (allows interacting with the same agents via hosted API + hosted chat UI)

⚡ Streaming (token-level) support

[x] Add streaming support for CLI interface with OpenAI-compatible endpoints
- 1262
[ ] Allow streaming back of POST requests (to MemGPT API / server)
- 1280
- In MemGPT function calling setup, this likely means:
  - Stream back inner thoughts first
  - Then stream back function call
  - Then attempt to parse function call (validate if final full streamed response was OK)

Miscellaneous features (Q2+)

👥 Split thread agent

Support alternate “split-thread” MemGPT agent architecture
SplitThreadAgent-v0.1 runs two “prompt” / “context” threads
- DialogueThread that generates conversations and calls utility functions (e.g. run_google_search(...) or call_smart_home(...))
- MemoryThread that is a passive reader of the ongoing conversation, and is responsible for memory edits, insertion, and search
  - core_memory_replace , core_memory_append
  - archival_memory_search, archival_memory_insert
  - conversation_search, conversation_search_date
  - Question: should these be usable by the DialogueThread too?

🦙 Specialized MemGPT models

Release (on HuggingFace) and serve (via the free endpoint) models that have been fine-tuned specifically for MemGPT
- “MemGPT-LM-8x7B-v0.1” (e.g. Mixtral 8x7B fine-tuned on MemGPT data w/ DPO)
- Goal is to bridge the gap between open models and GPT-4 for MemGPT performance

👁️ Multi-modal support

Start with gpt-4-vision support first to work out the necessary refactors required
- Will require modifications to the current data_types stored in the database
Work backwards to LLaVA

👾 Make MemGPT a better coding assistant

Coding requires some coding-specific optimizations
- Better support for generating coding blocks with parsing errors
- Add specific grammars / model wrappers for coding
Add support for block-level code execution
- CodeInterpreter style

📄 Make MemGPT a better document research assistant

Add more complex out-of-the-box archival_memory_search replacements
- e.g. using LlamaIndex RAG pipelines

🔧 Better default functions

E.g. better out-of-the-box internet search

⏱️ Asynchronous tool use support

Support non-blocking tool use (#1062)
- E.g. image generation that takes ~10s+ should not block the main conversation thread
- Implement by returning the "TBD" tool response immediately, then inject full response later

🧠 Better memory systems

core_memory_v2, archival_memory_v2, etc.
- e.g. core_memory_v2
  - add more structure (insertions are key, value style only)
- e.g. archival_memory_v2
  - add more metadata tagging at insertion time
  - type: [memory, feeling, observation, reflection, …]
  - add an asynchronous “memory consolidation” loop
  - every N minutes (or once per day), a task runner starts that tries to consolidate all the archival memories
  - add more structure in the storage
  - not just a vector database
  - knowledge graph?
  - hierarchical storage?

atljoseph commented 6 months ago

Hi, just wanted to say this is an awesome project, and that the ability to have a fully featured ui to get started is really important to me. Nice to see it on the roadmap. That along with non-trivial examples makes it an easy choice to go with memGPT.

cpacker commented 3 months ago

https://github.com/cpacker/MemGPT/issues/1533

letta-ai / letta

🚀 MemGPT Q2 2024 Developer Roadmap #1200