* feat(server): add ACP support
* improvements
* rename to deepagents-acp
* format
* add missing props
* linting
* lint
* more docs
* Create orange-scissors-tell.md
* more features
* format
* format
* fix tests
* format
* fix(deepagents): update summarization behavior
* actually use deepagent summarization middleware
* Update summarization behavior for deepagents
* make it work
* format
* fix pnpm-lock
* fix(deepagents): unwrap responseFormat strategy types so structuredResponse is correctly typed
Previously, passing responseFormat to createDeepAgent would leak the
strategy wrapper type (e.g. ToolStrategy<{ city: string }>) into the
agent's structuredResponse property instead of the inner parsed type
({ city: string }). This adds an InferStructuredResponse utility type
that extracts T from ToolStrategy<T> / ProviderStrategy<T>, and resolves
to ResponseFormatUndefined when no responseFormat is provided.
Also adds integration tests covering toolStrategy, providerStrategy,
combined tools + responseFormat, nested schemas, and subagents with
structured output.
* format
* Create stale-planes-breathe.md
* improve tests
* update deps
* add type tests
* feat: add support for Vercel sandbox
* format
* switch to deno
* cr
* format
* rename
* format
* auto bump peer dep
* format
* feat(daytona): adding sandbox integration
* format
* test fix
* format
* add support for
* add changesets
* feat: add modal sandbox (#190)
* feat: add modal sandbox
* chore: format
* cr
---------
Co-authored-by: Hunter Lovell <40191806+hntrl@users.noreply.github.com>
* feat: add support for Vercel sandbox
* format
* switch to deno
* cr
* format
* feat: add support for Vercel sandbox
* feat: add VFS sandbox
* format
* rm vercel
* rename
* format
* rename
* skip if on windows
* feat: add support for Vercel sandbox
* format
* switch to deno
* cr
* format
* rename
* format
* remove skip
* feedback
* Apply suggestion from @hntrl
Co-authored-by: Hunter Lovell <40191806+hntrl@users.noreply.github.com>
* auto bump peer dep
* format
* fix lock file
* add jiti
* add support for initialFiles
* include provider integration tests
* use DENO_DEPLOY_TOKEN
* add changeset
---------
Co-authored-by: Hunter Lovell <40191806+hntrl@users.noreply.github.com>
* feat(deepagents): add MemoryMiddleware for AGENTS.md support
Port of langchain-ai/deepagents#646 to TypeScript.
Adds MemoryMiddleware that loads persistent context from AGENTS.md files
following the agents.md specification. Unlike skills (which are on-demand),
memory is always loaded at agent startup and injected into the system prompt.
Changes:
- Add createMemoryMiddleware in middleware/memory.ts
- Add `memory` parameter to createDeepAgent for automatic middleware setup
- Export MemoryMiddleware from package index
- Add unit tests for memory loading and prompt injection
Usage:
const agent = createDeepAgent({
memory: [
"~/.deepagents/AGENTS.md",
"./.deepagents/AGENTS.md",
],
});
* add example
* internal: migrate to libs
* format
* update
* format
* codespell
* release process
* format
* update deps
* no need of npm tokens
* fix lock file
* type strictness
* no need for withLangGraph
* format
* fix
* remove withLanggraph
* add changeset
Hunter Lovell