Remove memory_research (depended on unreliable SearXNG); research now uses built-in web_search
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@@ -1,7 +1,7 @@
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# Pegas Memory — Architecture
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Pegas Memory is the long-term memory and knowledge base for the **Pegas** research agent.
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It is a Python service exposed to the agent as an **MCP server** (14 tools).
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It is a Python service exposed to the agent as an **MCP server** (13 tools).
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---
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@@ -14,7 +14,7 @@ It is a Python service exposed to the agent as an **MCP server** (14 tools).
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└───────────────────┬──────────────────────┘
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│ JSON-RPC 2.0 / stdio
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┌───────────────────▼──────────────────────┐
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│ mcp_server.py (tool layer, 14 tools) │
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│ mcp_server.py (tool layer, 13 tools) │
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└───────────────────┬──────────────────────┘
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│ Python API
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┌────────────────────────────┼────────────────────────────┐
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@@ -153,7 +153,7 @@ Only single-token kinds (no spaces) are accepted — human-readable rules from d
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---
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## 6. MCP tools (14)
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## 6. MCP tools (13)
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| Tool | Purpose |
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|---|---|
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@@ -165,7 +165,6 @@ Only single-token kinds (no spaces) are accepted — human-readable rules from d
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| `memory_verify` | self-critique + cross-confirmation |
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| `memory_add_gap` | register a research gap |
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| `memory_list_gaps` | list open gaps |
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| `memory_research` | full research cycle for one question |
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| `memory_store_code` | extract + store code symbols |
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| `memory_search_code` | lexical search over code symbols |
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| `memory_code_graph` | build symbol + dependency graph |
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