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style(mem0-ts): format README tables with prettier

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kartik-mem0
2026-09-02 20:19:30 +05:30
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mem0-ts/README.md
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@@ -53,13 +53,13 @@ npm install mem0ai
## Platform or open source
| | Platform (`MemoryClient`) | Open source (`Memory`) |
|---|---|---|
| Import | `import { MemoryClient } from "mem0ai"` | `import { Memory } from "mem0ai/oss"` |
| Where memories live | Mem0's hosted API | Your configured vector store |
| Required key | `MEM0_API_KEY` | `OPENAI_API_KEY` with the defaults, or keys for your chosen providers |
| Extraction | Managed and asynchronous | Runs against your configured LLM |
| Best for | Zero-ops production use | Local development and custom infrastructure |
| | Platform (`MemoryClient`) | Open source (`Memory`) |
| ------------------- | --------------------------------------- | --------------------------------------------------------------------- |
| Import | `import { MemoryClient } from "mem0ai"` | `import { Memory } from "mem0ai/oss"` |
| Where memories live | Mem0's hosted API | Your configured vector store |
| Required key | `MEM0_API_KEY` | `OPENAI_API_KEY` with the defaults, or keys for your chosen providers |
| Extraction | Managed and asynchronous | Runs against your configured LLM |
| Best for | Zero-ops production use | Local development and custom infrastructure |
## Platform quickstart
@@ -118,16 +118,16 @@ The default `Memory` configuration uses OpenAI `gpt-5-mini`, OpenAI `text-embedd
## Configuration and features
| Feature | Documentation |
|---|---|
| Memory operations: `add`, `search`, `get`, `getAll`, `update`, `delete`, `deleteAll`, `history`, all async and Promise-based | [Node quickstart](https://docs.mem0.ai/open-source/node-quickstart) |
| Entity scoping with `userId`, `agentId`, and `runId` | [Entity-scoped memory](https://docs.mem0.ai/platform/features/entity-scoped-memory) |
| Metadata and filters | [Metadata filtering](https://docs.mem0.ai/open-source/features/metadata-filtering) |
| LLMs, embedders, vector stores, and rerankers | [Components](https://docs.mem0.ai/components/llms/overview) |
| Graph memory | [Graph memory](https://docs.mem0.ai/platform/features/graph-memory) |
| Custom instructions | [Custom instructions](https://docs.mem0.ai/open-source/features/custom-instructions) |
| Multimodal input | [Multimodal support](https://docs.mem0.ai/open-source/features/multimodal-support) |
| Platform webhooks, export, feedback, expiration, and custom categories | [Platform features](https://docs.mem0.ai/platform/features) |
| Feature | Documentation |
| ---------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------ |
| Memory operations: `add`, `search`, `get`, `getAll`, `update`, `delete`, `deleteAll`, `history`, all async and Promise-based | [Node quickstart](https://docs.mem0.ai/open-source/node-quickstart) |
| Entity scoping with `userId`, `agentId`, and `runId` | [Entity-scoped memory](https://docs.mem0.ai/platform/features/entity-scoped-memory) |
| Metadata and filters | [Metadata filtering](https://docs.mem0.ai/open-source/features/metadata-filtering) |
| LLMs, embedders, vector stores, and rerankers | [Components](https://docs.mem0.ai/components/llms/overview) |
| Graph memory | [Graph memory](https://docs.mem0.ai/platform/features/graph-memory) |
| Custom instructions | [Custom instructions](https://docs.mem0.ai/open-source/features/custom-instructions) |
| Multimodal input | [Multimodal support](https://docs.mem0.ai/open-source/features/multimodal-support) |
| Platform webhooks, export, feedback, expiration, and custom categories | [Platform features](https://docs.mem0.ai/platform/features) |
## Benchmarks
@@ -135,12 +135,12 @@ The default `Memory` configuration uses OpenAI `gpt-5-mini`, OpenAI `text-embedd
<a href="https://mem0.ai/research"><strong>Benchmarking Mem0's token-efficient memory algorithm</strong></a>
</p>
| Benchmark | Old | New | Tokens | Latency p50 |
|---|---:|---:|---:|---:|
| **LoCoMo** | 71.4 | **92.5** | 7.0K | 0.88s |
| **LongMemEval** | 67.8 | **94.4** | 6.8K | 1.09s |
| **BEAM (1M)** | n/a | **64.1** | 6.7K | 1.00s |
| **BEAM (10M)** | n/a | **48.6** | 6.9K | 1.05s |
| Benchmark | Old | New | Tokens | Latency p50 |
| --------------- | ---: | -------: | -----: | ----------: |
| **LoCoMo** | 71.4 | **92.5** | 7.0K | 0.88s |
| **LongMemEval** | 67.8 | **94.4** | 6.8K | 1.09s |
| **BEAM (1M)** | n/a | **64.1** | 6.7K | 1.00s |
| **BEAM (10M)** | n/a | **48.6** | 6.9K | 1.05s |
All benchmarks use the same production-representative model stack, single-pass retrieval, and a top-200 retrieval budget. Scores reflect the managed Platform, which includes proprietary optimizations not available in the open-source SDK. Open-source results should show similar directional gains, but may not match these scores.