Agenticworkspace

AgenticWorkspace

[CI] [License: Apache-2.0] [npm version] [Node >= 20] [PyPI version]

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.

[AgenticWorkspace init: npx agenticworkspace-cli init scans a repo and scaffolds a .workspace/ directory with a Claude Code adapter, recorded from the real published npm package]

npx agenticworkspace-cli init

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.

Table of contents

• Install
• Features
• Quickstart
• CLI reference
• The .workspace/ directory
• Library API reference
• Adapter status
• Extending AgenticWorkspace
• How this compares to repo-harness and harnesskit
• What and why
• Development
• FAQ
• Contributing
• License

Install

AgenticWorkspace 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.

# npm -- JavaScript/TypeScript CLI + library (live today, v0.1.3)npx agenticworkspace-cli init

# PyPI -- Python CLI + library (live today, v0.1.1)pip install agenticworkspace-cliagenticworkspace init --path /path/to/your/repo

To install from source instead:

git clone https://github.com/RudrenduPaul/AgenticWorkspace.gitcd AgenticWorkspace/pythonpip install -e .agenticworkspace init --path /path/to/your/repo

For repeat use with the npm package, install it globally:

npm install -g agenticworkspace-cliagenticworkspace init

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:

git clone https://github.com/RudrenduPaul/AgenticWorkspace.gitcd AgenticWorkspacenpm installnpm run buildnode dist/agenticworkspace/cli.js init

Features

Everything below is verified against the actual source in this repo, not aspirational.

• Real stack detection -- language (JavaScript/TypeScript, Python, lighter-weight signals for Rust/Go/Ruby), package manager (npm/pnpm/yarn), and monorepo package count, read from real manifest files (src/agenticworkspace/scan/stack-detector.ts).
• Non-destructive by default -- checks for CLAUDE.md, AGENTS.md, .cursor/rules, and .github/copilot-instructions.md and never overwrites them (src/agenticworkspace/scan/config-detector.ts).
• Detects other agent-memory tooling without touching it -- looks for a .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/).
• A real, working Claude Code adapter -- writes actual hook scripts for session start, pre-tool-call, and session-end handoff generation, wired into .workspace/adapters/claude-code/settings.json (src/agenticworkspace/adapters/claude-code/install.ts).
• Structured JSON output on every subcommand -- 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.
• Two documented plugin interfaces, not a hardcoded pipeline -- 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.
• Shell-injection-safe hook generation -- every scanned value (module names, paths) that ends up embedded in a generated shell script passes through an allowlist and quoting check first (src/agenticworkspace/util/sanitize.ts), covered by 30 dedicated unit tests (confirmed by running the suite directly, including the parameterized rejection cases).
• Partial-state recovery -- an interrupted or malformed prior 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).

Quickstart

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):

$ agenticworkspace init --json --path ./my-app
{  "ok": true,  "agenticworkspace_version": "0.1.1",  "scanned_at": "2026-08-04T06:18:25.620Z",  "target": "/Users/you/my-app",  "stack": {    "language": "javascript",    "package_manager": "npm",    "monorepo": false,    "packages": 1  },  "existing_config": {    "claudeMd": false,    "agentsMd": false,    "cursorRules": false,    "copilotInstructions": false,    "anyDetected": false  },  "memory_backends": [    { "name": "serena", "detected": false, "description": "Serena memory/context tool (.serena/ directory)" },    { "name": "gitnexus", "detected": false, "description": "GitNexus-style config (.gitnexus/ or gitnexus.config.json)" },    { "name": "repo-harness", "detected": false, "description": "repo-harness (.ai/harness/ directory) -- detected only, never modified" }  ],  "context": { "root_context_kb": 0.6, "budget_kb": 12, "modules": [] },  "adapters": { "claude_code": { "installed": true, "hook_schema_version": "2026-07-01" } },  "workspace_dir": "/Users/you/my-app/.workspace"}

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:

.workspace/workspace.json.workspace/context/root-context.md.workspace/adapters/claude-code/settings.json.workspace/adapters/claude-code/adapter-meta.json.workspace/adapters/claude-code/hooks/session-start.sh.workspace/adapters/claude-code/hooks/pre-tool-call.sh.workspace/adapters/claude-code/hooks/session-end-handoff.sh

Drop --json for a human-readable version of the same run:

$ agenticworkspace init --path ./my-app
AgenticWorkspace v0.1 -- Repo-to-Agent-Workspace ConverterTarget: /Users/you/my-app
Scanning repository...[OK] Stack detected: javascript, npm[--] No existing agent-config files found[--] No memory/context tool detected
Writing .workspace/ scaffold...  .workspace/workspace.json                created  .workspace/context/root-context.md        created (0.6KB of 12KB budget)  .workspace/handoff/                       created (empty, ready for first session)
Installing Claude Code adapter...  .workspace/adapters/claude-code/settings.json         written  .workspace/adapters/claude-code/hooks/session-start.sh  written  .workspace/adapters/claude-code/hooks/pre-tool-call.sh  written  .workspace/adapters/claude-code/hooks/session-end-handoff.sh  written
Workspace ready. Next Claude Code session in this repo will load root-context.md automaticallyand write a handoff file on exit.

Checking workspace health and writing a session handoff on that same repo, real output:

$ agenticworkspace status --path ./my-app
AgenticWorkspace statusTarget: /Users/you/my-appLast scan: 2026-08-04T06:18:25.620Z
Stack: javascript, npm, 1 package(s)Context budget: 0.6KB of 12KB (0 module block(s))Handoffs: 0 file(s), most recent: noneClaude Code adapter: installed, schema 2026-07-01, currentOther backends detected: none
$ agenticworkspace handoff new "test session" --path ./my-app
Handoff written: .workspace/handoff/2026-08-04-0618.md

See docs/usage.gif for a recorded run of handoff new and status together.

Features

Everything below is verified against the actual source in this repo, not aspirational.

• Real stack detection -- language (JavaScript/TypeScript, Python, lighter-weight signals for Rust/Go/Ruby), package manager (npm/pnpm/yarn), and monorepo package count, read from real manifest files (src/agenticworkspace/scan/stack-detector.ts).
• Non-destructive by default -- checks for CLAUDE.md, AGENTS.md, .cursor/rules, and .github/copilot-instructions.md and never overwrites them (src/agenticworkspace/scan/config-detector.ts).
• Detects other agent-memory tooling without touching it -- looks for a .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/).
• A real, working Claude Code adapter -- writes actual hook scripts for session start, pre-tool-call, and session-end handoff generation, wired into .workspace/adapters/claude-code/settings.json (src/agenticworkspace/adapters/claude-code/install.ts).
• Structured JSON output on every subcommand -- 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.
• Two documented plugin interfaces, not a hardcoded pipeline -- 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.
• Shell-injection-safe hook generation -- every scanned value (module names, paths) that ends up embedded in a generated shell script passes through an allowlist and quoting check first (src/agenticworkspace/util/sanitize.ts), covered by 30 dedicated unit tests.
• Partial-state recovery -- an interrupted or malformed prior 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).

CLI reference

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.

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.

MCP Server

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.

pip install "agenticworkspace-cli[mcp]"

Add it to your MCP client config (stdio transport):

{  "mcpServers": {    "agenticworkspace": {      "command": "agenticworkspace-mcp"    }  }}

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:

run(["scan", "--json", "--path", "/path/to/repo"])-> {"ok": true, "target": "/path/to/repo", "stack": {"language": "javascript", ...}, ...}

The .workspace/ directory

.workspace/  workspace.json              manifest: detected stack, adapters installed, schema version  context/    root-context.md           progressive root context, budget-targeted (~12KB)    modules/      auth.md                 per-module capability block, loaded on demand      api.md  handoff/    2026-07-13-1421.md         one file per session, timestamped  adapters/    claude-code/      settings.json           hook entries wired into Claude Code's settings schema      hooks/        session-start.sh       loads root-context.md + relevant module blocks        pre-tool-call.sh        lightweight guard, extendable per project        session-end-handoff.sh writes the next handoff/ file automatically

Library API reference

Both packages export their scan/scaffold/adapter logic for programmatic use in addition to the CLI binary. Signatures below are grepped directly from source.

TypeScript (agenticworkspace-cli, src/agenticworkspace/index.ts)

import {  detectStack,  detectExistingConfig,  memoryBackendRegistry,  detectAllMemoryBackends,  adapterRegistry,  getAdapter,  runInitEngine,  readManifest,  writeManifest,  sanitizeForShellEmbedding,  validateAgainstAllowlist,  shellQuote,} from "agenticworkspace-cli";
async function detectStack(repoPath: string): Promise<StackDetectionResult>;async function detectExistingConfig(repoPath: string): Promise<ExistingConfigResult>;async function runInitEngine(repoPath: string, workspaceDir: string): Promise<InitEngineResult>;function getAdapter(name: string): Adapter | undefined;async function readManifest(workspaceDir: string): Promise<WorkspaceManifest | null>;async function writeManifest(workspaceDir: string, manifest: WorkspaceManifest): Promise<void>;function sanitizeForShellEmbedding(  rawValue: unknown,  warn?: SanitizeWarning,  options?: SanitizeForShellOptions,): string | null;function validateAgainstAllowlist(rawValue: unknown): SanitizeResult;function shellQuote(value: string): string;

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).

Python (agenticworkspace-cli on PyPI, python/src/agenticworkspace/__init__.py)

from agenticworkspace import (    adapter_registry,    get_adapter,    memory_backend_registry,    detect_all_memory_backends,    Adapter,    MemoryBackend,    AGENTICWORKSPACE_VERSION,)

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 (v0.1)

[AgenticWorkspace adapter management: installing and inspecting the Claude Code adapter's hook wiring via the adapter subcommand, recorded from the real published npm package]

Extending AgenticWorkspace

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.

How this compares to repo-harness and harnesskit

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:

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.

What and why

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.

Development

git clone https://github.com/RudrenduPaul/AgenticWorkspace.gitcd AgenticWorkspacenpm installnpm run buildnpm test

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:

cd pythonpython3 -m venv .venv && source .venv/bin/activatepip install -e ".[dev]"pytest

132/132 tests pass as of the Python package's initial release. See python/README.md for the Python-specific development notes.

FAQ

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.

Contributing

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.

License

Apache 2.0. See LICENSE.