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Chris Rickman
2026-03-16 22:35:35 -07:00
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docs/harness/pipeline.md
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@@ -10,6 +10,7 @@ What it provides:
- **Governance** — permissions, human-in-the-loop, policies
- **Context management** — compaction, eviction, externalization
- **Observability** — traces, transcripts, replay
### Where We Stand
MAF compared against DeepAgents, Amplifier, Opencode, Copilot CLI, OpenAI Codex, and Claude Code — every one of them has these capabilities. MAF has some partially, most not at all.
@@ -31,8 +32,6 @@ MAF compared against DeepAgents, Amplifier, Opencode, Copilot CLI, OpenAI Codex,
### Agent/User Orchestration
#### Slot Filling (a.k.a. "Guided Conversations")
How does the harness manage structured, multi-turn data collection from the user? What's the interaction model between the outer loop and user-facing slot-filling prompts? How does it compose with compaction and task management? How does the agent re-ask or repair slot values after partial completion?
### Compaction Strategy