- run-selected-prompt.mjs: set SCHEDULER_MEMORY_FILE env var before spawning each agent so
store.mjs has a well-known path to read from (memory-updates/<ts>__<agent>.md)
- retrieve.mjs: format memories.md using m.summary + date/tags in readable markdown sections
instead of raw m.content blobs; agents can now scan injected context at a glance
- store.mjs: remove semantically-empty fallback placeholder events that polluted the store
and degraded retrieval quality; also fix default cadence 'weekly' -> 'daily' to match retrieve
- scheduler-flow.md: replace vague "write insights" instruction with a concrete three-section
template (Key findings / Patterns / Warnings) and clarify that $SCHEDULER_MEMORY_FILE is
set by the scheduler automatically
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
This change implements several optimizations to reduce token consumption and improve agent context:
1. **Log Truncation**: `scripts/agent/run-scheduler-cycle.mjs` now truncates the echoed output of spawned processes to 20KB per stream (stdout/stderr). This prevents the scheduler agent's context from being flooded with excessive logs from sub-agents.
2. **Memory Injection**: `torch-config.json`'s `retrieveCommand` has been updated to write retrieved memories to `.scheduler-memory/latest/<cadence>/memories.md`. `scripts/agent/run-selected-prompt.mjs` now checks for this file and injects its content into the agent's prompt, providing immediate context from the memory system.
3. **CLI Optimization**: The `torch-lock list-memories` command now truncates the `content` field of memories to 200 characters by default. A new `--full` flag has been added to `src/cli-parser.mjs` and `src/lib.mjs` to view the full content when needed.
These changes aim to make the agent process more efficient ("error on the side of caution") and leverage the memory system more effectively.
Co-authored-by: PR0M3TH3AN <[email protected]>
- Updated scripts/agent/run-selected-prompt.mjs to support AGENT_PLATFORM=linux.
- Updated src/docs/TORCH.md to document the new platform support.
- Generated weekly task log for repo-fit-agent.
Co-authored-by: PR0M3TH3AN <[email protected]>