When building the {{conversations}} placeholder for the observation
agent, search for existing nodes relevant to each conversation
fragment and include them in the prompt. Uses seed matching + one-hop
graph expansion to find the neighborhood, so the extractor sees what
the graph already knows about these topics.
This helps prevent duplicate extractions, but the deeper bug is that
select_conversation_fragments doesn't track which conversations have
already been processed — that's next.
- Add run_and_apply() — combines run_one_agent + action application
into one call. Used by daemon job_consolidation_agent and
consolidate_full, which had identical run+apply loops.
- Port split_plan_prompt() to use split.agent via defs::resolve_placeholders
instead of loading the separate split-plan.md template. Make
resolve_placeholders public for this.
- Delete prompts/split-plan.md — superseded by agents/split.agent
which was already the canonical definition.
The four knowledge agents (observation, extractor, connector,
challenger) were hardcoded in knowledge.rs with their own node
selection logic that bypassed the query pipeline and visit tracking.
Now they're .agent files like the consolidation agents:
- extractor: not-visited:extractor,7d | sort:priority | limit:20
- observation: uses new {{CONVERSATIONS}} placeholder
- connector: type:semantic | not-visited:connector,7d
- challenger: type:semantic | not-visited:challenger,14d
The knowledge loop's run_cycle dispatches through defs::run_agent
instead of calling hardcoded functions, so all agents get visit
tracking automatically. This means the extractor now sees _facts-*
and _mined-transcripts nodes that it was previously blind to.
~200 lines of dead code removed (old runner functions, spectral
clustering for node selection, per-agent LLM dispatch).
New placeholders in defs.rs:
- {{CONVERSATIONS}} — raw transcript fragments for observation agent
- {{TARGETS}} — alias for {{NODES}} (challenger compatibility)
Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>
The parser was using split_once("\n\n") which broke when the prompt
started immediately after the JSON header (no blank line). Parse
the first line as JSON, treat the rest as the prompt body.
All agents now go through the config-driven path via .agent files.
agent_prompt() just delegates to defs::run_agent(). Remove the 100+
line hardcoded match block and the _pub wrapper functions — make the
formatters pub directly.
Replace the formatter dispatch with a generic {{placeholder}} lookup
system. Placeholders in prompt templates are resolved at runtime from
a table: topology, nodes, episodes, health, pairs, rename, split.
The query in the header selects what to operate on (keys for visit
tracking); placeholders pull in formatted context. Placeholders that
produce their own node selection (pairs, rename) contribute keys back.
Port health, separator, rename, and split agents to .agent files.
All 7 agents now use the config-driven path.
Each agent is a .agent file: JSON config on the first line, blank line,
then the raw prompt markdown. Fully self-contained, fully readable.
No separate template files needed.
Agents dir: checked into repo at poc-memory/agents/. Code looks there
first (via CARGO_MANIFEST_DIR), falls back to ~/.claude/memory/agents/.
Three agents migrated: replay, linker, transfer.
Co-Authored-By: ProofOfConcept <poc@bcachefs.org>
