#1 Persistent memory for AI coding agents based on real-world benchmarks
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Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Personal memory across agents
- mcp
- memory
- sandbox
- agent-memory
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
- agentic-ai
- ai
- chats
- llm
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
Composable, view-based context for DeepSeek Harness. Pluggable sources and strategies, with layered memory and self-evolving skills out of the box.
- agent-memory
- deepseek-harness
- local-first
- persistent-memory
TranslatedNot a Q&A bot, but a digital twin that can actually get work done. Agents and project context are shared, so all project members can work together. At the same time, agents, like people, abstract and summarize experience from materials or work into the project context.
- agent
- agent-framework
- agent-orchestration
- agent-skill
Translated🐋 DSH Fish Memory: gives sessions a long-term memory that fades over time, with a timestamp on every entry. The "fish" in the name comes from DeepSeek's whale.
- ai-companion
- deepseek-harness
- dsh-plugin
- long-term-memory
Official Code for OpenVLHarness: Real-World Visual Agentic Tool‑Use with Multimodal Memory
- agent-harness
- agentic-ai
- ai-agents
- coding-agent
The best agent harness.
TranslatedA local memory layer for DeepSeek Harness: those who are raising a "big fat fish" can download it to play with. After testing, once downloaded it feels more human and more natural than using RAG or an external memory store alone.
- dsh-plugin
- dsh-plugin-market