[Phase 6.3.5] Context Assembly System #88

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opened 2026-04-07 03:13:30 +00:00 by Mark · 0 comments

Mark commented

2026-04-07 03:13:30 +00:00

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Parent: #73 (Conversation/Project Memory)

Overview

Build context assembly system to intelligently construct LLM context from memory layers.

Details

Create substrate/context_assembler.py:

ContextAssembler class:

assemble_context(conversation_id, max_tokens, include_*) -> AssembledContext
prioritize_content(items, max_tokens) -> list[ContextItem]

Context Layers:

Working memory (recent turns, active TODOs, current files)
Relevant episodes (semantic search)
Key facts (structured knowledge)
Active TODOs (current work)
Project goals (high-level context)

Prioritization:

Relevance scoring via embeddings
Token budget management
Critical information preservation

Acceptance Criteria

Context within token limit: 100%
Critical info included: >95%
Relevant episodes found: >90%
Latency: <100ms

## Parent: #73 (Conversation/Project Memory) ## Overview Build context assembly system to intelligently construct LLM context from memory layers. ## Details Create `substrate/context_assembler.py`: **ContextAssembler class:** - assemble_context(conversation_id, max_tokens, include_*) -> AssembledContext - prioritize_content(items, max_tokens) -> list[ContextItem] **Context Layers:** 1. Working memory (recent turns, active TODOs, current files) 2. Relevant episodes (semantic search) 3. Key facts (structured knowledge) 4. Active TODOs (current work) 5. Project goals (high-level context) **Prioritization:** - Relevance scoring via embeddings - Token budget management - Critical information preservation ## Acceptance Criteria - [ ] Context within token limit: 100% - [ ] Critical info included: >95% - [ ] Relevant episodes found: >90% - [ ] Latency: <100ms

Mark referenced this issue

2026-04-07 03:14:10 +00:00

[Phase 6.4] Conversation Memory #73

Mark closed this issue

2026-04-07 03:41:30 +00:00

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Mark/mesh-seed#88

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