|
16 | 16 |
|
17 | 17 | --- |
18 | 18 |
|
| 19 | +### Powered by Atlas Cloud (OpenAI-compatible) |
| 20 | + |
| 21 | +<p align="center"> |
| 22 | + <a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=hindsight"> |
| 23 | + <img src="./hindsight-docs/static/img/atlas-cloud-logo.png" alt="Atlas Cloud" width="200"> |
| 24 | + </a> |
| 25 | +</p> |
| 26 | + |
| 27 | +> 🎁 **[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=hindsight)** is a full-modal, OpenAI-compatible AI inference platform — plug it in as a drop-in LLM backend for Hindsight's fact extraction, reflection and consolidation, with one API for DeepSeek, Qwen, GLM, Kimi, MiniMax and more. No multi-vendor setup needed. |
| 28 | +> Budget-friendly: [coding plan](https://www.atlascloud.ai/console/coding-plan) |
| 29 | +
|
| 30 | +```bash |
| 31 | +export HINDSIGHT_API_LLM_PROVIDER=atlas |
| 32 | +export HINDSIGHT_API_LLM_API_KEY=your-atlascloud-api-key # base_url defaults to https://api.atlascloud.ai/v1 |
| 33 | +export HINDSIGHT_API_LLM_MODEL=deepseek-ai/deepseek-v4-pro |
| 34 | +``` |
| 35 | + |
| 36 | +`deepseek-ai/deepseek-v4-pro` is a reasoning model — give it enough `max_tokens` (>= 512). |
| 37 | + |
| 38 | +<details> |
| 39 | +<summary>All Atlas Cloud chat models (59)</summary> |
| 40 | + |
| 41 | +- **Anthropic (Claude):** `anthropic/claude-haiku-4.5-20251001`, `anthropic/claude-opus-4.8`, `anthropic/claude-sonnet-4.6` |
| 42 | +- **OpenAI (GPT):** `openai/gpt-5.4`, `openai/gpt-5.5` |
| 43 | +- **Google (Gemini):** `google/gemini-3.1-flash-lite`, `google/gemini-3.1-pro-preview`, `google/gemini-3.5-flash` |
| 44 | +- **Alibaba Qwen:** `qwen/qwen2.5-7b-instruct`, `Qwen/Qwen3-235B-A22B-Instruct-2507`, `qwen/qwen3-235b-a22b-thinking-2507`, `qwen/qwen3-30b-a3b`, `Qwen/Qwen3-30B-A3B-Instruct-2507`, `qwen/qwen3-30b-a3b-thinking-2507`, `qwen/qwen3-32b`, `qwen/qwen3-8b`, `Qwen/Qwen3-Coder`, `qwen/qwen3-coder-next`, `qwen/qwen3-max-2026-01-23`, `Qwen/Qwen3-Next-80B-A3B-Instruct`, `Qwen/Qwen3-Next-80B-A3B-Thinking`, `Qwen/Qwen3-VL-235B-A22B-Instruct`, `qwen/qwen3-vl-235b-a22b-thinking`, `qwen/qwen3-vl-30b-a3b-instruct`, `qwen/qwen3-vl-30b-a3b-thinking`, `qwen/qwen3-vl-8b-instruct`, `qwen/qwen3.5-122b-a10b`, `qwen/qwen3.5-27b`, `qwen/qwen3.5-35b-a3b`, `qwen/qwen3.5-397b-a17b`, `qwen/qwen3.6-35b-a3b`, `qwen/qwen3.6-plus` |
| 45 | +- **DeepSeek:** `deepseek-ai/deepseek-ocr`, `deepseek-ai/deepseek-r1-0528`, `deepseek-ai/DeepSeek-V3-0324`, `deepseek-ai/DeepSeek-V3.1`, `deepseek-ai/DeepSeek-V3.1-Terminus`, `deepseek-ai/deepseek-v3.2`, `deepseek-ai/DeepSeek-V3.2-Exp`, `deepseek-ai/deepseek-v4-flash`, `deepseek-ai/deepseek-v4-pro` |
| 46 | +- **Moonshot (Kimi):** `moonshotai/Kimi-K2-Instruct`, `moonshotai/Kimi-K2-Instruct-0905`, `moonshotai/Kimi-K2-Thinking`, `moonshotai/kimi-k2.5`, `moonshotai/kimi-k2.6` |
| 47 | +- **Zhipu GLM:** `zai-org/GLM-4.6`, `zai-org/glm-4.7`, `zai-org/glm-5`, `zai-org/glm-5-turbo`, `zai-org/glm-5.1`, `zai-org/glm-5v-turbo` |
| 48 | +- **MiniMax:** `MiniMaxAI/MiniMax-M2`, `minimaxai/minimax-m2.1`, `minimaxai/minimax-m2.5`, `minimaxai/minimax-m2.7` |
| 49 | +- **xAI:** `xai/grok-4.3` |
| 50 | +- **Kuaishou KAT:** `kwaipilot/kat-coder-pro-v2` |
| 51 | +- **Other:** `owl` |
| 52 | + |
| 53 | +</details> |
| 54 | + |
19 | 55 | ## What is Hindsight? |
20 | 56 |
|
21 | 57 | Hindsight™ is an agent memory system built to create smarter agents that learn over time. Most agent memory systems focus on recalling conversation history. Hindsight is focused on making agents that learn, not just remember. |
@@ -70,7 +106,7 @@ docker run -it --pull always --name hindsight --restart unless-stopped -p 8888:8 |
70 | 106 | >API: http://localhost:8888 |
71 | 107 | >UI: http://localhost:9999 |
72 | 108 |
|
73 | | -You can modify the LLM provider by setting `HINDSIGHT_API_LLM_PROVIDER`. Valid options are `openai`, `anthropic`, `gemini`, `groq`, `ollama`, `lmstudio`, and `minimax`. The documentation provides more details on [supported models](https://hindsight.vectorize.io/developer/models). |
| 109 | +You can modify the LLM provider by setting `HINDSIGHT_API_LLM_PROVIDER`. Valid options are `openai`, `anthropic`, `gemini`, `groq`, `ollama`, `lmstudio`, `minimax`, and `atlas` ([Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=hindsight)). The documentation provides more details on [supported models](https://hindsight.vectorize.io/developer/models). |
74 | 110 |
|
75 | 111 |
|
76 | 112 |
|
|
0 commit comments