feat: add conversation with grounded replies, sample mind and M1 acceptance test

Phase 8, completing milestone M1. A user message is stored and appended
as an observation event carrying trust, actor, channel and reference. The
perceive process analyses it deterministically (intent, introspection
kind, entities, claims, urgency) and, within the per-cycle model
allowance, enriches it through the perceive prompt. Its handler writes a
perception event, an episodic memory with participants, turns claims into
beliefs whose evidence is the message, and builds a response intent from
state: beliefs and memories for the topic, evidence rows for why-questions,
the uncertain band, contested beliefs and their links, recent learning,
status changes, and honest declines for subsystems that do not exist yet
or for requests with no capabilities. The respond prompt phrases the
intent when a model is assigned; otherwise the reply is a direct
rendering of the intent. response_generated cites the message, the
perception, every belief and memory used, the episode and the model call.

API: conversations, messages with optional wait, one-shot ask; chat UI
with live refresh and a per-reply intent view. Sample mind Dani as a
strictly decoded seed document with an import endpoint and noemactl mind
import. tests/m1 drives all fourteen milestone steps including restart.
This commit is contained in:
Andy Dixon
2026-06-25 19:19:24 +01:00
parent d9c6ffa30f
commit 777e8f50b5
34 changed files with 2189 additions and 39 deletions
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@@ -48,7 +48,7 @@ cp .env.example .env
make dev
```
This starts PostgreSQL (with pgvector) in a container, applies migrations, and runs `noemad` on http://127.0.0.1:8080. Log in with the bootstrap administrator, add an LLM provider under *LLM*, create a mind (or load the sample mind Dani with `noemactl mind import configs/minds/dani.json`), and open its conversation page.
This starts PostgreSQL (with pgvector) in a container, applies migrations, and runs `noemad` on http://127.0.0.1:8080. Log in with the bootstrap administrator, add an LLM provider under *LLM* and assign models to the `perceive` and `respond` roles, create a mind (or load the sample mind Dani with `noemactl mind import configs/minds/dani.json` after creating an API token under *Account*), and open its Conversation tab. Without a model the mind still answers, rendering its state directly.
## Configuration
@@ -103,7 +103,7 @@ noemactl fork dani --snapshot <id> --name dani-test
## Status
Early development. See [PLAN.md](PLAN.md) for phases and progress and [CHANGELOG.md](CHANGELOG.md) for history. Screenshots will be added once the UI stabilises.
Milestone M1 is complete: start, log in, create a mind, shape its personality, configure a model, chat, watch cognitive events live, inspect working memory, the workspace, memories, beliefs and provenance, restart, and continue the same mind. `go test ./tests/m1/` exercises that slice end to end. Phases 9–16 (goals, drives, predictions, metacognition, reflection, consolidation, relationship graph, capabilities, integrations, dreaming, snapshots, replay, experiments, hardening) are in progress; see [PLAN.md](PLAN.md) and [CHANGELOG.md](CHANGELOG.md). Screenshots will be added once the UI stabilises.
## Licence