docs: add issue templates for bug, feature, benchmark, documentation, and update contact links (#4500)
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@@ -0,0 +1,88 @@
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name: Benchmark Submission
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description: Submit evaluation or benchmark results for a model configuration
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labels: ["benchmark"]
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body:
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- type: markdown
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attributes:
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value: |
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Share your benchmark results to help the community compare model configurations. Please include enough detail for others to reproduce your results.
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- type: input
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id: model-name
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attributes:
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label: Model name
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description: The LLM used for memory extraction.
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placeholder: "e.g., gpt-4o, claude-3.5-sonnet, llama-3.1-70b"
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validations:
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required: true
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- type: textarea
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id: model-config
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attributes:
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label: Model configuration
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description: |
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Paste your mem0 config (redact any API keys).
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placeholder: |
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```python
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config = {
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"llm": {
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"provider": "openai",
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"config": {
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"model": "gpt-4o",
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"temperature": 0.0,
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}
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},
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"vector_store": {
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"provider": "qdrant",
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"config": {
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"collection_name": "benchmark",
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"embedding_model_dims": 1536,
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}
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}
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}
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```
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validations:
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required: true
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- type: input
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id: dataset
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attributes:
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label: Dataset / eval suite
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description: Which dataset or evaluation suite did you use?
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placeholder: "e.g., LOCOMO, custom dataset (link), internal eval"
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validations:
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required: true
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- type: textarea
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id: results
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attributes:
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label: Results
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description: |
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Paste your results. Use a markdown table if comparing multiple configs.
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placeholder: |
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| Metric | Score |
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|--------------|--------|
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| Precision | 0.85 |
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| Recall | 0.78 |
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| F1 | 0.81 |
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| Latency (ms) | 120 |
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validations:
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required: true
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- type: textarea
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id: hardware
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attributes:
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label: Hardware / environment
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description: What hardware did you run this on?
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placeholder: "e.g., M2 MacBook Pro 16GB, AWS g5.xlarge, local RTX 4090"
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validations:
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required: false
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- type: textarea
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id: reproduction
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attributes:
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label: Reproduction steps
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description: How can someone reproduce these results?
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validations:
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required: false
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@@ -1,41 +1,104 @@
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name: 🐛 Bug Report
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description: Create a report to help us reproduce and fix the bug
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name: Bug Report
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description: Report a bug to help us fix it
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labels: ["bug"]
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body:
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- type: markdown
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attributes:
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value: >
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#### Before submitting a bug, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/embedchain/embedchain/issues?q=is%3Aissue+sort%3Acreated-desc+).
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- type: textarea
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attributes:
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label: 🐛 Describe the bug
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description: |
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Please provide a clear and concise description of what the bug is.
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- type: markdown
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attributes:
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value: |
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Thanks for taking the time to report a bug! Please search [existing issues](https://github.com/mem0ai/mem0/issues?q=is%3Aissue) first to avoid duplicates.
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If relevant, add a minimal example so that we can reproduce the error by running the code. It is very important for the snippet to be as succinct (minimal) as possible, so please take time to trim down any irrelevant code to help us debug efficiently. We are going to copy-paste your code and we expect to get the same result as you did: avoid any external data, and include the relevant imports, etc. For example:
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- type: dropdown
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id: component
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attributes:
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label: Component
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description: Which part of mem0 is affected?
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options:
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- Core / Python SDK
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- TypeScript SDK
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- Vector Store (Qdrant, PGVector, Redis, Chroma, etc.)
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- Graph Memory (Neo4j, Memgraph, etc.)
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- Ollama / Local Models
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- OpenMemory (MCP Server)
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- OpenClaw
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- REST API
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- Other
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validations:
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required: true
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```python
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# All necessary imports at the beginning
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import embedchain as ec
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# Your code goes here
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- type: textarea
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id: description
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attributes:
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label: Describe the bug
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description: A clear and concise description of what the bug is.
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placeholder: What happened?
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validations:
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required: true
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- type: textarea
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id: reproduction
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attributes:
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label: Steps to reproduce
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description: |
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Provide a minimal code example or steps to reproduce the bug. We will copy-paste your code, so keep it self-contained.
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placeholder: |
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```python
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from mem0 import Memory
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```
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m = Memory()
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# Steps that trigger the bug...
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```
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validations:
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required: true
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Please also paste or describe the results you observe instead of the expected results. If you observe an error, please paste the error message including the **full** traceback of the exception. It may be relevant to wrap error messages in ```` ```triple quotes blocks``` ````.
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placeholder: |
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A clear and concise description of what the bug is.
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- type: textarea
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id: expected
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attributes:
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label: Expected behavior
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description: What did you expect to happen?
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validations:
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required: true
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```python
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Sample code to reproduce the problem
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```
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- type: textarea
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id: actual
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attributes:
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label: Actual behavior
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description: What actually happened? Include the full error traceback if applicable.
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placeholder: |
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Paste error output here, including the full traceback.
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validations:
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required: true
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```
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The error message you got, with the full traceback.
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````
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validations:
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required: true
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- type: markdown
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attributes:
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value: >
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Thanks for contributing 🎉!
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- type: input
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id: mem0-version
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attributes:
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label: mem0 version
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description: "Run `pip show mem0ai` or check your package.json"
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placeholder: "e.g., 0.1.29"
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validations:
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required: true
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- type: input
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id: python-version
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attributes:
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label: Python / Node.js version
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description: "Run `python --version` or `node --version`"
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placeholder: "e.g., Python 3.11.5 or Node 20.10.0"
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validations:
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required: true
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- type: input
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id: os
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attributes:
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label: Operating system
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placeholder: "e.g., macOS 14.2, Ubuntu 22.04, Windows 11"
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validations:
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required: false
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- type: textarea
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id: context
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attributes:
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label: Additional context
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description: Any other context — config files, environment variables, related issues, etc.
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validations:
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required: false
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@@ -1,8 +1,8 @@
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blank_issues_enabled: true
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contact_links:
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- name: 1-on-1 Session
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url: https://cal.com/taranjeetio/ec
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about: Speak directly with Taranjeet, the founder, to discuss issues, share feedback, or explore improvements for Embedchain
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- name: Discord
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- name: Discord Community
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url: https://discord.gg/6PzXDgEjG5
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about: General community discussions
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about: Ask questions and discuss with the community
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- name: Documentation
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url: https://docs.mem0.ai
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about: Read the official mem0 documentation
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@@ -1,11 +1,23 @@
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name: Documentation
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description: Report an issue related to the Embedchain docs.
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title: "DOC: <Please write a comprehensive title after the 'DOC: ' prefix>"
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name: Documentation Issue
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description: Report an issue or suggest an improvement to the mem0 docs
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labels: ["documentation"]
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title: "DOC: "
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body:
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- type: textarea
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attributes:
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label: "Issue with current documentation:"
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description: >
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Please make sure to leave a reference to the document/code you're
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referring to.
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- type: textarea
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id: description
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attributes:
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label: Issue with current documentation
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description: |
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Describe what's wrong or missing. Please link to the specific page or section.
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placeholder: "https://docs.mem0.ai/... — this section is missing X / incorrect about Y"
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validations:
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required: true
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- type: textarea
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id: suggestion
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attributes:
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label: Suggested fix
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description: How should the docs be improved?
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validations:
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required: false
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@@ -1,23 +1,62 @@
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name: 🚀 Feature request
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description: Submit a proposal/request for a new Embedchain feature
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name: Feature Request
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description: Suggest a new feature or improvement for mem0
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labels: ["enhancement"]
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body:
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- type: textarea
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id: feature-request
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attributes:
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label: 🚀 The feature
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description: >
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A clear and concise description of the feature proposal
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validations:
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required: true
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- type: textarea
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attributes:
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label: Motivation, pitch
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description: >
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Please outline the motivation for the proposal. Is your feature request related to a specific problem? e.g., *"I'm working on X and would like Y to be possible"*. If this is related to another GitHub issue, please link here too.
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validations:
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required: true
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- type: markdown
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attributes:
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value: >
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Thanks for contributing 🎉!
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- type: markdown
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attributes:
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value: |
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Thanks for suggesting a feature! Please search [existing issues](https://github.com/mem0ai/mem0/issues?q=is%3Aissue+label%3Aenhancement) first to avoid duplicates.
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- type: dropdown
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id: component
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attributes:
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label: Component
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description: Which part of mem0 does this relate to?
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options:
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- Core / Python SDK
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- TypeScript SDK
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- Vector Store (Qdrant, PGVector, Redis, Chroma, etc.)
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- Graph Memory (Neo4j, Memgraph, etc.)
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- Ollama / Local Models
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- OpenMemory (MCP Server)
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- OpenClaw
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- REST API
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- Benchmarks / Evals
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- Other
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validations:
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required: true
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- type: textarea
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id: use-case
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attributes:
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label: Use case
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description: |
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What problem are you trying to solve? Describe the situation where you need this feature.
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placeholder: "I'm building X and need Y because..."
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validations:
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required: true
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- type: textarea
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id: proposed-solution
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attributes:
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label: Proposed solution
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description: How do you think this should work? Include API examples or pseudocode if helpful.
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validations:
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required: true
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- type: textarea
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id: alternatives
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attributes:
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label: Alternatives considered
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description: Have you tried any workarounds? Are there other approaches you've considered?
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validations:
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required: false
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- type: textarea
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id: context
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attributes:
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label: Additional context
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description: Any other context, screenshots, or references.
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validations:
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required: false
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