The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Agenticworkspace listing page.
Point it at any repo. It detects the stack, writes a .workspace/ directory with progressive
context and session handoffs, and installs a working Claude Code adapter, all in one command.

This is a v0.1 release. Zero installs, zero GitHub stars, first release. 99/99 JavaScript tests and 132/132 Python tests pass. It does what's described below and nothing more. There's an honest comparison against the other tools already working in this space further down, so you can decide if AgenticWorkspace is actually worth trying before you run it.
.workspace/ directoryAgenticWorkspace ships two independent, equally first-class packages that
implement the same scan/scaffold/adapter pipeline and read/write the same
.workspace/ directory shape -- pick whichever fits your toolchain, or
install both. Neither is deprecated in favor of the other.
To install from source instead:
For repeat use with the npm package, install it globally:
The Python package's CLI entry point is also agenticworkspace (e.g.
agenticworkspace init --path ./my-app); see
python/README.md and
docs/getting-started.md for the Python-specific
walkthrough.
To build the TypeScript package from source instead:
Everything below is verified against the actual source in this repo, not aspirational.
src/agenticworkspace/scan/stack-detector.ts).CLAUDE.md, AGENTS.md, .cursor/rules, and
.github/copilot-instructions.md and never overwrites them
(src/agenticworkspace/scan/config-detector.ts)..serena/ directory, a
GitNexus-style config, or repo-harness's own .ai/harness/ directory, reports what it finds, and
never reads or writes any of them (src/agenticworkspace/memory-backends/)..workspace/adapters/claude-code/settings.json
(src/agenticworkspace/adapters/claude-code/install.ts).init, scan, status, adapter install, and
handoff new all support --json, including on error paths (a nonexistent --path, a missing
workspace, an unimplemented adapter), so a calling agent never has to parse human-readable text
or guess at exit codes.MemoryBackend
(src/agenticworkspace/memory-backends/types.ts) and Adapter
(src/agenticworkspace/adapters/types.ts). Adding a new tool means implementing one interface
and registering it (registry.ts in each folder); no changes to CLI or scan code are required.
See Extending AgenticWorkspace below.src/agenticworkspace/util/sanitize.ts), covered by 30 dedicated unit tests (confirmed by
running the suite directly, including the parameterized rejection cases).init run is detected and
surfaced (interactive repair/reset/abort prompt, or a structured JSON error with a dedicated exit
code in --json mode) instead of being silently overwritten or resumed
(src/agenticworkspace/state/partial-state.ts).A real run against a small two-file JavaScript repo (target path shortened to /Users/you/my-app
for readability, every field value below is the actual output):
The agenticworkspace_version field in that output is a version string tracked separately from
the package's own npm/PyPI version (they can drift; treat it as an internal schema marker, not the
package version you installed).
That single run wrote seven real files on disk:
Drop --json for a human-readable version of the same run:
Checking workspace health and writing a session handoff on that same repo, real output:
See docs/usage.gif for a recorded run of handoff new and status together.
Everything below is verified against the actual source in this repo, not aspirational.
src/agenticworkspace/scan/stack-detector.ts).CLAUDE.md, AGENTS.md, .cursor/rules, and
.github/copilot-instructions.md and never overwrites them
(src/agenticworkspace/scan/config-detector.ts)..serena/ directory, a
GitNexus-style config, or repo-harness's own .ai/harness/ directory, reports what it finds, and
never reads or writes any of them (src/agenticworkspace/memory-backends/)..workspace/adapters/claude-code/settings.json
(src/agenticworkspace/adapters/claude-code/install.ts).init, scan, status, adapter install, and
handoff new all support --json, including on error paths (a nonexistent --path, a missing
workspace, an unimplemented adapter), so a calling agent never has to parse human-readable text
or guess at exit codes.MemoryBackend
(src/agenticworkspace/memory-backends/types.ts) and Adapter
(src/agenticworkspace/adapters/types.ts). Adding a new tool means implementing one interface
and registering it (registry.ts in each folder); no changes to CLI or scan code are required.
See Extending AgenticWorkspace below.src/agenticworkspace/util/sanitize.ts), covered by 30 dedicated unit tests.init run is detected and
surfaced (interactive repair/reset/abort prompt, or a structured JSON error with a dedicated exit
code in --json mode) instead of being silently overwritten or resumed
(src/agenticworkspace/state/partial-state.ts).Every command accepts -p, --path <path> (defaults to the current directory) and --json
(structured output instead of the human-readable default). Reference below is the actual
--help output from a locally built agenticworkspace binary.
| Command | Description |
|---|---|
agenticworkspace init | Scan the repo and write the .workspace/ scaffold plus the Claude Code adapter. Idempotent -- safe to re-run. |
agenticworkspace scan | Detect stack and existing agent-tooling surface only. No writes. |
agenticworkspace status | Report workspace health: stack, context budget usage, handoff count, adapter staleness. |
agenticworkspace adapter install <name> | (Re)install a single adapter's hook wiring, e.g. claude-code. Returns adapter_not_implemented for codex or cursor. |
agenticworkspace handoff new <message> | Write a new timestamped session handoff file under .workspace/handoff/. |
Exit codes are stable across --json and human-readable modes, so a script can branch on them
without parsing text. Verified directly: adapter install codex exits 3 with a "NOT YET
IMPLEMENTED" message, and status against a target with no .workspace/ exits 4.
| Code | Meaning |
|---|---|
0 | Success |
1 | General error (bad input, unexpected filesystem failure) |
2 | Partial/malformed .workspace/ state detected |
3 | Adapter not yet implemented (codex, cursor) |
4 | No .workspace/ found (run init first) |
The Python package ships a Model Context Protocol (MCP) server, so an MCP-capable agent (Claude Desktop, Claude Code, or any other MCP client) can call AgenticWorkspace as a tool instead of shelling out to the CLI and parsing text itself.
Add it to your MCP client config (stdio transport):
It exposes a single tool, run(args: list[str]) -> dict, that shells out to the installed
agenticworkspace CLI with the given argument list and returns its parsed result -- every
subcommand (init, scan, status, adapter install, handoff new) is reachable through it, so
the MCP surface never drifts out of sync with the CLI as new subcommands are added. Every failure
mode (missing binary, timeout, non-zero exit, unparsable output) comes back as a {"error": ...}
dict instead of raising. Example call and result:
.workspace/ directoryBoth packages export their scan/scaffold/adapter logic for programmatic use in addition to the CLI binary. Signatures below are grepped directly from source.
agenticworkspace-cli, src/agenticworkspace/index.ts)MemoryBackend and Adapter are exported as TypeScript types for anyone implementing a new
plugin (src/agenticworkspace/memory-backends/types.ts, src/agenticworkspace/adapters/types.ts).
agenticworkspace-cli on PyPI, python/src/agenticworkspace/__init__.py)Adapter and MemoryBackend are abc.ABC classes here rather than TypeScript interfaces --
implement one, add an instance to adapter_registry or memory_backend_registry (plain Python
lists), and no CLI or scan code changes are required. The package ships a py.typed marker, so
type checkers pick up its stubs without extra configuration.
| Adapter | Status |
|---|---|
| Claude Code | Implemented, works end to end |
| Codex | Registered, not yet implemented |
| Cursor | Registered, not yet implemented |

AgenticWorkspace is built around two plugin interfaces, not one project doing everything itself:
MemoryBackend (src/agenticworkspace/memory-backends/types.ts) -- detects whether a repo
already has a memory/context tool wired in. Detection must stay read-only.Adapter (src/agenticworkspace/adapters/types.ts) -- wires the .workspace/ scaffold into a
specific coding tool: install, staleness check, and a human-readable description.Adding support for a new tool means implementing one of these interfaces and registering an
instance in that folder's registry.ts; no changes to the CLI or scan code are required. See
src/agenticworkspace/adapters/codex/ and .../cursor/ for the shape a not-yet-implemented stub
takes (isImplemented: false plus a real describe() string), and .../claude-code/ for a fully
working reference implementation.
The Python package (pip install agenticworkspace-cli) implements the same two interfaces as
abc.ABC classes with the same registration contract (memory_backend_registry /
adapter_registry, plain Python lists) -- see
docs/integrations/custom-plugin.md for a worked example in
both languages.
Repo-local context and session-handoff tracking for coding agents is not a new idea. Before building this, we checked what's already shipping. Two npm packages cover overlapping ground, and their current state (checked 2026-08-03) matters more than any of our own claims about them:
| AgenticWorkspace v0.1.3 (npm) / v0.1.1 (PyPI) | repo-harness v0.13.0 | harnesskit v0.1.1 | |
|---|---|---|---|
| npm activity | 3 published versions (0.1.1 -> 0.1.3), created 2026-07-15, most recently published 2026-08-04 | 46 published versions, created 2026-05-28, last published 2026-08-03 (same day as this check) | 2 published versions, last published 2026-03-20 (about 4.5 months stale as of this check) |
| GitHub | 0 stars, 0 forks (new repo) | 402 stars, 29 forks, pushed 2026-08-03 | GitHub repo now returns 404, cannot inspect source |
| Claude Code adapter | Implemented end to end: real hook scripts + settings.json wiring, installed by init in the same run that creates the workspace | Implemented: ~/.claude/settings.json hook adapter | Unverified, could not inspect source or README (npm page blocked our fetch, GitHub repo gone) |
| Codex adapter | Registered in the adapter interface, install() throws "not yet implemented" -- honest stub, not a silent no-op | Implemented: ~/.codex/hooks.json adapter | Unverified |
| Cursor adapter | Registered, same honest-stub pattern as Codex | Not mentioned anywhere in the current README (a prior comparison found it referenced in architecture docs; that reference is gone as of this check) | Unverified |
| Progressive context loading | Budget-targeted root context file (~12KB) plus per-module capability blocks, loaded on demand | ~12KB stable root context plus ~1KB capability contracts loaded only for files actually being touched, backed by a CodeGraph structural index we do not build | Unverified |
| Session handoff files | Timestamped file per session under handoff/ | .ai/harness/handoff/ directory plus tasks/current.md, derived from workflow artifacts | Unverified |
| CLI JSON output | Every subcommand (scan, status, adapter install, handoff) supports --json, including error paths | Has JSON output on at least --dry-run --json and state-snapshot --json | Unverified |
| Detects other tools without touching them | Yes: checks for .serena/, a GitNexus-style config, and repo-harness's own .ai/harness/ directory, reports what it finds, never reads or writes any of them | Not checked -- outside scope of what we reviewed | Unverified |
| Plugin/extension model | Two documented TypeScript interfaces (MemoryBackend, Adapter); adding a tool means implementing one and registering it, no CLI changes needed | Not verified from the README alone; would need to read source to confirm | Unverified |
| Hosted multi-repo dashboard | Does not exist. Not planned as part of this OSS CLI. | Does not exist, self-hosted file-backed workflow only | Unverified |
| Documentation languages | English only | English (primary), plus Simplified Chinese, Japanese, French, Spanish | Unverified |
What we could verify came from npm view, the GitHub API, and repo-harness's own README (fetched
directly). We did not install and run repo-harness against a real repo ourselves, so anything
marked "implemented" for it is a README claim we read, not a claim we reproduced firsthand.
Everything marked "unverified" for harnesskit stayed that way because its GitHub repository no
longer resolves and its npm page blocked automated fetches; we are not going to guess at what a
tool does from a description string. (A PyPI package also named harnesskit exists, but it is a
different, unrelated project by a different author -- a fuzzy string-replace tool for LLM coding
agents -- and we are not counting it here.)
repo-harness's own scope has grown since we last checked it: its README now centers on a ChatGPT-driven MCP planning sidecar handing off to Codex for execution, on top of the Claude/Codex hook adapters this table already covers. That is a materially bigger surface than "repo-local context and handoff tracking," and worth knowing before you compare the two tools project-to-project rather than feature-to-feature.
The honest read: repo-harness is more mature than AgenticWorkspace on almost every dimension in this table right now. It already has a working Claude Code adapter, a working Codex adapter, and five languages of documentation. It has been iterating fast (46 versions in a little over two months). If you already use it and it works for you, there's no reason to switch.
What we actually built differently: a plugin architecture with two small, documented interfaces
(MemoryBackend for detecting other tools, Adapter for wiring into a specific coding agent)
instead of one project doing everything itself, and an explicit compatibility check that detects
repo-harness's own .ai/harness/ directory and reports it rather than silently duplicating or
conflicting with it. Beyond that, right now, this is a new, unproven CLI going up against a more
established one. We're not going to dress that up.
One more thing worth naming: Claude Code itself now ships a first-party MEMORY.md-based memory
system and team memory stores, plus a post-session lifecycle hook that can snapshot uncommitted
work. It doesn't scan a repo's stack or install a Claude-Code-specific adapter the way
AgenticWorkspace does, but the gap between "what the platform does natively" and "what a tool like
this adds" is narrower than it was when this category started, and it's worth watching before
assuming any of this tooling stays necessary.
Coding agents lose context the moment a session ends, and every repo needs its own manual setup before an agent can work in it well: what CLAUDE.md or AGENTS.md file to write, how to hand off partial work to the next session, which hooks to wire up. That setup is repetitive, easy to get wrong, and rarely kept up to date as a project's stack changes.
AgenticWorkspace automates the parts of that setup that are mechanical and repo-agnostic: figuring out what stack a repo uses, writing a progressive context file sized to stay inside a token budget instead of the model's entire codebase, and installing real hooks so a Claude Code session generates a handoff note automatically instead of relying on a human to write one down. It does not try to be a memory database, a semantic code index, or a hosted dashboard. It is a scaffolding CLI: it writes files once, in a format any of those other tools could later read or extend, and then gets out of the way.
Why build another one of these when repo-harness already exists and has more traction (see the comparison table above)? Because the honest answer is: not to displace it. This project exists to test a narrower, Claude-Code-first version of the same idea with a plugin architecture that keeps detection and adapter code decoupled from day one, and to be upfront in public about exactly how it stacks up against the tool that got there first.
99/99 tests pass as of this release. Before opening a pull request, run npm run lint,
npm run typecheck, npm run test:coverage, and npm run build -- the same steps CI runs on
Node 20.x and 22.x.
For the Python package instead:
132/132 tests pass as of the Python package's initial release. See
python/README.md for the Python-specific development notes.
What is AgenticWorkspace, and what makes it different from writing a CLAUDE.md file by hand?
It is a repo-to-agent-workspace converter: a single command (agenticworkspace init) scans a
repo's stack, writes a progressive, token-budgeted context file, and installs a working Claude
Code adapter with real hook scripts, all in one non-destructive run. The differentiator is that
this is automated and repo-agnostic rather than a template you copy and edit by hand, and it is
built around two documented plugin interfaces (MemoryBackend, Adapter) instead of one
hardcoded pipeline, so adding a new coding-agent adapter or memory backend does not require
touching the CLI or scan code.
What are the install and platform requirements?
The npm package requires Node.js 20 or later ("engines": { "node": ">=20.0.0" } in
package.json). The Python package requires Python 3.9 or later (requires-python = ">=3.9" in
python/pyproject.toml) and is classified Operating System :: OS Independent on PyPI. Both
packages are plain Node/Python with no native or OS-specific dependencies; day-to-day development
and testing happen on macOS and Linux, and Windows has not been separately verified by the
maintainers.
Does this modify my existing CLAUDE.md, AGENTS.md, or .cursor/rules?
No. init checks for all four config files (CLAUDE.md, AGENTS.md, .cursor/rules,
.github/copilot-instructions.md) and reports what it finds, but never writes to or overwrites any
of them.
Does this conflict with Serena, GitNexus, or repo-harness if I already use one of them?
No. Detection is read-only: AgenticWorkspace checks for .serena/, a GitNexus-style config, and
repo-harness's .ai/harness/ directory, reports what it finds in scan/status/init output, and
never reads, writes, or deletes anything inside them.
How does this actually compare to repo-harness, the most established alternative?
See the full comparison table above for the
complete, dated breakdown. In short: repo-harness is more mature on almost every measurable axis
right now (more published versions, more GitHub stars, a working Codex adapter, five documentation
languages, and a broader MCP-planner-plus-Codex-execution scope). What AgenticWorkspace does
differently is a smaller, two-interface plugin architecture and an explicit, read-only
compatibility check for repo-harness's own .ai/harness/ directory. If repo-harness already works
for you, there is no reason in this table to switch.
What happens if init gets interrupted halfway through?
The next init run detects the leftover .init-in-progress marker or a missing/malformed
workspace.json and either prompts you to repair, reset, or abort (interactive terminal), or
returns a structured JSON error with exit code 2 (non-interactive or --json mode) instead of
silently overwriting or resuming.
Why isn't the Codex or Cursor adapter implemented yet?
Both are registered in the Adapter plugin interface with isImplemented: false and a real, honest
describe() string rather than a silent no-op. Claude Code was built first because that is the
adapter this repo's own workflow was built and tested against. Contributions implementing either are
welcome, see Extending AgenticWorkspace.
Is there a hosted dashboard or paid tier? Not in this repository. This CLI is the free, local, MIT-comparable (Apache-2.0) layer. There is no hosted component here to sign up for.
What license is this, and can I use it commercially? Apache License 2.0 (see LICENSE). It permits commercial use, modification, private use, and distribution, and includes an express patent grant, subject to preserving the license and copyright notice and carrying no warranty.
Is there a Python version?
Yes -- a genuine Python port (not a wrapper around the Node binary), with the same CLI shape, the
same .workspace/ output, and the same MemoryBackend/Adapter plugin contract, plus its own
importable library surface (Adapter and MemoryBackend as abc.ABC classes). See
python/README.md for the Python-specific install and usage walkthrough.
See CONTRIBUTING.md for the development setup, the pre-PR checklist, and
concrete instructions for adding a new MemoryBackend or Adapter. Security-sensitive changes
(anything that touches generated shell scripts) must go through the shared sanitization module
described there.
Apache 2.0. See LICENSE.