* refactor(agent): replace TypeScript agent gateway with in-process Go agent using twilight-ai SDK
- Remove apps/agent (Bun/Elysia gateway), packages/agent (@memoh/agent),
internal/bun runtime manager, and all embedded agent/bun assets
- Add internal/agent package powered by twilight-ai SDK for LLM calls,
tool execution, streaming, sential logic, tag extraction, and prompts
- Integrate ToolGatewayService in-process for both built-in and user MCP
tools, eliminating HTTP round-trips to the old gateway
- Update resolver to convert between sdk.Message and ModelMessage at the
boundary (resolver_messages.go), keeping agent package free of
persistence concerns
- Prepend user message before storeRound since SDK only returns output
messages (assistant + tool)
- Clean up all Docker configs, TOML configs, nginx proxy, Dockerfile.agent,
and Go config structs related to the removed agent gateway
- Update cmd/agent and cmd/memoh entry points with setter-based
ToolGateway injection to avoid FX dependency cycles
* fix(web): move form declaration before computed properties that reference it
The `form` reactive object was declared after computed properties like
`selectedMemoryProvider` and `isSelectedMemoryProviderPersisted` that
reference it, causing a TDZ ReferenceError during setup.
* fix: prevent UTF-8 character corruption in streaming text output
StreamTagExtractor.Push() used byte-level string slicing to hold back
buffer tails for tag detection, which could split multi-byte UTF-8
characters. After json.Marshal replaced invalid bytes with U+FFFD,
the corruption became permanent — causing garbled CJK characters (�)
in agent responses.
Add safeUTF8SplitIndex() to back up split points to valid character
boundaries. Also fix byte-level truncation in command/formatter.go
and command/fs.go to use rune-aware slicing.
* fix: add agent error logging and fix Gemini tool schema validation
- Log agent stream errors in both SSE and WebSocket paths with bot/model context
- Fix send tool `attachments` parameter: empty `items` schema rejected by
Google Gemini API (INVALID_ARGUMENT), now specifies `{"type": "string"}`
- Upgrade twilight-ai to d898f0b (includes raw body in API error messages)
* chore(ci): remove agent gateway from Docker build and release pipelines
Agent gateway has been replaced by in-process Go agent; remove the
obsolete Docker image matrix entry, Bun/UPX CI steps, and agent-binary
build logic from the release script.
* fix: preserve attachment filename, metadata, and container path through persistence
- Add `name` column to `bot_history_message_assets` (migration 0034) to
persist original filenames across page refreshes.
- Add `metadata` JSONB column (migration 0035) to store source_path,
source_url, and other context alongside each asset.
- Update SQL queries, sqlc-generated code, and all Go types (MessageAsset,
AssetRef, OutboundAssetRef, FileAttachment) to carry name and metadata
through the full lifecycle.
- Extract filenames from path/URL in AttachmentsResolver before clearing
raw paths; enrich streaming event metadata with name, source_path, and
source_url in both the WebSocket and channel inbound ingestion paths.
- Implement `LinkAssets` on message service and `LinkOutboundAssets` on
flow resolver so WebSocket-streamed bot attachments are persisted to the
correct assistant message after streaming completes.
- Frontend: update MessageAsset type with metadata field, pass metadata
through to attachment items, and reorder attachment-block.vue template
so container files (identified by metadata.source_path) open in the
sidebar file manager instead of triggering a download.
* refactor(agent): decouple built-in tools from MCP, load via ToolProvider interface
Migrate all 13 built-in tool providers from internal/mcp/providers/ to
internal/agent/tools/ using the twilight-ai sdk.Tool structure. The agent
now loads tools through a ToolProvider interface instead of the MCP
ToolGatewayService, which is simplified to only manage external federation
sources. This enables selective tool loading and removes the coupling
between business tools and the MCP protocol layer.
* refactor(flow): split monolithic resolver.go into focused modules
Break the 1959-line resolver.go into 12 files organized by concern:
- resolver.go: core orchestration (Resolver struct, resolve, Chat, prepareRunConfig)
- resolver_stream.go: streaming (StreamChat, StreamChatWS, tryStoreStream)
- resolver_trigger.go: schedule/heartbeat triggers
- resolver_attachments.go: attachment routing, inlining, encoding
- resolver_history.go: message loading, deduplication, token trimming
- resolver_store.go: persistence (storeRound, storeMessages, asset linking)
- resolver_memory.go: memory provider integration
- resolver_model_selection.go: model selection and candidate matching
- resolver_identity.go: display name and channel identity resolution
- resolver_settings.go: bot settings, loop detection, inbox
- user_header.go: YAML front-matter formatting
- resolver_util.go: shared utilities (sanitize, normalize, dedup, UUID)
* fix(agent): enable Anthropic extended thinking by passing ReasoningConfig to provider
Anthropic's thinking requires WithThinking() at provider creation time,
unlike OpenAI which uses per-request ReasoningEffort. The config was
never wired through, so Claude models could not trigger thinking.
* refactor(agent): extract prompts into embedded markdown templates
Move inline prompt strings from prompt.go into separate .md files under
internal/agent/prompts/, using {{key}} placeholders and a simple render
engine. Remove obsolete SystemPromptParams fields (Language,
MaxContextLoadTime, Channels, CurrentChannel) and their call-site usage.
* fix: lint
* feat(terminal): add interactive web terminal for bot containers
Add WebSocket-based terminal endpoint (/container/terminal/ws) that
provides a full PTY shell session inside the bot's MCP container.
Extend the gRPC proto with pty and resize fields, implement PTY exec
on the container side using creack/pty, and add an xterm.js-based
terminal component in the frontend bot detail page.
* chore: add /mcp in .gitignore
* feat(terminal): add multi-tab support, localStorage cache, and reactivity fixes
- Support unlimited terminal tabs with add/close/switch
- Cache terminal content to localStorage via SerializeAddon for session persistence
- Use shallowReactive for tab objects to ensure status updates trigger UI reactivity
- Fix listener leak by tracking and disposing onData/onResize on reconnect
- Fix bottom clipping by using inset offsets instead of padding
* feat: add email service with multi-adapter support
Implement a full-stack email service with global provider management,
per-bot bindings with granular read/write permissions, outbox audit
storage, and MCP tool integration for direct mailbox access.
Backend:
- Email providers: CRUD with dynamic config schema (generic SMTP/IMAP, Mailgun)
- Generic adapter: go-mail (SMTP) + go-imap/v2 (IMAP IDLE real-time push via
UnilateralDataHandler + UID-based tracking + periodic check fallback)
- Mailgun adapter: mailgun-go/v5 with dual inbound mode (webhook + poll)
- Bot email bindings: per-bot provider binding with independent r/w permissions
- Outbox: outbound email audit log with status tracking
- Trigger: inbound emails push notification to bot_inbox (from/subject only,
LLM reads full content on demand via MCP tools)
- MailboxReader interface: on-demand IMAP queries for listing/reading emails
- MCP tools: email_accounts, email_send, email_list (paginated mailbox),
email_read (by UID) — all with multi-binding and provider_id selection
- Webhook: /email/mailgun/webhook/:config_id (JWT-skipped, signature-verified)
- DB migration: 0019_add_email (email_providers, bot_email_bindings, email_outbox)
Frontend:
- Email Providers page: /email-providers with MasterDetailSidebarLayout
- Dynamic config form rendered from ordered provider meta schema with i18n keys
- Bot detail: Email tab with bindings management + outbox audit table
- Sidebar navigation entry
- Full i18n support (en + zh)
- Auto-generated SDK from Swagger
Closes#17
* feat(email): trigger bot conversation immediately on inbound email
Instead of only storing an inbox item and waiting for the next chat,
the email trigger now proactively invokes the conversation resolver
so the bot processes new emails right away — aligned with the
schedule/heartbeat trigger pattern.
* fix: lint
---------
Co-authored-by: Acbox <acbox0328@gmail.com>
Major changes:
1. Core Architecture: Decoupled Bots from Users. Bots now have independent lifecycles, member management (bot_members), and dedicated configurations.
2. Channel Gateway:
- Implemented a unified Channel Manager supporting Feishu, Telegram, and Local (Web/CLI) adapters.
- Added message processing pipeline to normalize interactions across different platforms.
- Introduced a Contact system for identity binding and guest access policies.
3. Database & Tooling:
- Consolidated all migrations into 0001_init with updated schema for bots, channels, and contacts.
- Optimized sqlc.yaml to automatically track the migrations directory.
4. Agent Enhancements:
- Introduced ToolContext to provide Agents with platform-aware execution capabilities (e.g., messaging, contact lookups).
- Added tool logging and fallback mechanisms for toolChoice execution.
5. UI & Docs: Updated frontend stores, UI components, and Swagger documentation to align with the new Bot-centric model.
- Update LLMClient test to match NewLLMClient signature by passing nil logger
- Add nil check for logger in NewLLMClient to prevent panic, defaulting to slog.Default()
Acbox Liu