@Lonely__MH: Great find! Discovered a Deepseek harness memory plugin! Most Agent frameworks' 'long-term memory' is just mindless Vector DB retrieval, prone to temporal confusion and context pollution. Just started using Meland Labs' open-source OpenContext…
Summary
Discovered an open-source Deepseek memory plugin called OpenContext, which improves the long-term memory functionality of Agent frameworks through designs like Temporal Context Graphs and Trust Models.
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Good stuff! Found a Deepseek harness memory plugin! Most Agent frameworks’ “long-term memory” is just brute-force Vector DB retrieval, which easily causes temporal disarray and context pollution.
Just got started with Meland Labs’ open-source OpenContext and its DeepSeek Harness plugin, dsh-opencontext. Its design philosophy is quite hardcore:
- Temporal Context Graph: All facts carry
valid_from/valid_until, supporting versioned revisions and soft deprecation (Revise), avoiding destructive overwrites, and allowing historical decisions to be traced back at any time. - Recall Waterfall (Seamless Auto-Pipeline): Automatically captures queries to retrieve history before each dialogue turn, packing them into the model injection. After the dialogue, it auto-archives—no manual “remember this” needed.
- Rigorous Trust Model: Historical evidence is strictly injected as the “User” role and marked as “untrusted historical reference.” Current instructions always take absolute priority, completely avoiding prompt conflicts and memory poisoning.
- Dual Backend Architecture: Supports native SQLite within the Node.js process (extremely low latency) and an independent Daemon process.
Installation command: dsh plugin --profile web add dsh-opencontext
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