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Touron"},"license":"Apache-2.0","homepage":"https://deltaharness.dev","keywords":["agent","ai-agent","autonomous-agent","llm","harness","mcp","openai","anthropic","bun","agent-runtime"],"repository":{"url":"git+https://github.com/Carrara-Labs/delta-harness.git","type":"git"},"description":"The open source harness for knowledge work — build long-running agents with MCP tools, managed context, subagents, and self-improvement, in one lean Bun binary.","maintainers":[{"name":"nictouroncarrara","email":"nic@carrara.is"}],"readme":"# Delta Harness\n\nThe open source harness for knowledge work — build long-running agents with MCP tools, managed\ncontext, subagents, and self-improvement, in one lean TypeScript-on-Bun binary.\n\n[![npm](https://img.shields.io/npm/v/@carrara-labs/delta-harness?color=%230b7)](https://www.npmjs.com/package/@carrara-labs/delta-harness)\n[![license](https://img.shields.io/npm/l/@carrara-labs/delta-harness?color=%23555)](./LICENSE)\n[![built with Bun](https://img.shields.io/badge/built%20with-Bun-fbf0df)](https://bun.sh)\n\n**[deltaharness.dev](https://deltaharness.dev)** · **[Learn (zero → metal)](https://deltaharness.dev/learn/)** · **[Docs](https://deltaharness.dev/docs/)** · **[GitHub](https://github.com/Carrara-Labs/delta-harness)**\n\n> New to harnesses? **[deltaharness.dev/learn](https://deltaharness.dev/learn/)** is a guided teardown that walks anyone from \"what is an LLM call?\" to the precise machinery of this engine, with a definition for every term and three reading depths (plain → builder → metal).\n\nA single-binary daemon: a **<2k-token prompt spine** and a durable tool-call loop that combine\nbuilt-in workspace capabilities with external systems over MCP. Zero runtime deps · SQLite WAL\nstate · **~30MB RSS, <50ms cold start** (measured).\n\n## Install\n\n```sh\n# install the binary (macOS / Linux)\ncurl -fsSL https://deltaharness.dev/install.sh | sh\n\n# or run it via Bun\nbunx @carrara-labs/delta-harness --help\n\n# or run the daemon as a container\ndocker run -p 8080:8080 --env-file .env ghcr.io/carrara-labs/delta-harness\n```\n\nRequires **Bun ≥ 1.3** to run from source or via `bunx`; the prebuilt binary and container are self-contained.\n\n## Quickstart\n\n```sh\ndelta init ./my-agent    # scaffold a bundle — five plain files\ndelta dev  ./my-agent    # boot it in the local Cockpit at /dev\n```\n\n`init` never overwrites your files; `dev` runs the real daemon on loopback and opens the Cockpit,\nso you can watch the loop, tools, memory, and cost live.\n\n## What's in the runtime\n\n| | |\n|---|---|\n| **Durable run + queue** | Serial per session, concurrent across; checkpoint-per-turn, survives crash/redeploy, resumes in-flight runs from the SQLite journal. |\n| **Provider** | Zero-dep OpenAI-compatible streaming, model failover, usage + cost capture, error-as-value, Anthropic prompt-cache breakpoints. |\n| **Loop + hands** | Usage guards (steps / tokens / cost); builtins (`web_search`, `web_fetch`, workspace files, `code`→codex CLI, `spawn_subagent`); run profiles with per-profile tool sets. |\n| **MCP client** | Streamable HTTP + stdio, boot-time discovery, progressive tool disclosure via `search_tools`. |\n| **Context** | Archive-safe compaction that audits its own summary (identifiers the summarizer dropped ride an appendix; the calls and spill paths it covered ride two ledgers) and an indexed `recall` over the thread, so a run keeps working after its context is cut. |\n| **Memory + learning** | Scoped local memory, optional shared knowledge over MCP, and a review→reflect loop that turns feedback into scoped memory. |\n| **Observability** | Durable main-loop events over SQLite, SSE, and an NDJSON exporter. |\n\n## The bundle — `agent = engine + bundle + state`\n\nThe engine names no product. A **bundle** is five plain files you version like code:\n\n| File | What | Editable by |\n|---|---|---|\n| `delta.env` | backends, keys, budgets | operator |\n| `vocab.json` | the write rail (your product's nouns/verbs) | operator |\n| `POLICY.md` | fixed, highest-priority prompt guidance | operator |\n| `DELTA.md` | identity **+ what the agent has learned** | human **and** agent |\n| `PROMPT_CONTEXT.md` | optional dynamic vars (`{{model}}`, `{{now.date}}`, `{{request.*}}`) | operator |\n\n`DELTA.md` is the **self-learning** surface: the agent rewrites it with the `remember` tool, so\nthe next uninterrupted run uses the change. Writes are atomic, size-capped, and reversible.\n\n## Surface (the seam)\n\n| Route | What |\n|---|---|\n| `POST /v1/responses` | OpenAI-Responses-compatible sync turn |\n| `POST /v1/tasks` | Async long-run: `202 {id}` → SSE progress → completion; cancellable |\n| `GET /v1/tasks/:id` · `/events` · `DELETE` | Status · SSE tail · cancel |\n| `GET /v1/queue` | Queued and running rows |\n| `GET /healthz` | Liveness (autosuspend wake + reconciler) |\n\n## From source\n\n```sh\ngit clone https://github.com/Carrara-Labs/delta-harness\ncd delta-harness && bun install\nbun test        # 480+ tests (unit + child-process crash/resume)\nbun run build   # dist/delta\n```\n\nFull guide (models, MCP tools, memory, subagents, deploy, recovery): **[deltaharness.dev/docs](https://deltaharness.dev/docs/)**.\nContributions welcome — see [CONTRIBUTING.md](./CONTRIBUTING.md).\n\n> **Status:** `0.1.x` — early release. The API surface and bundle format may still shift before `1.0`.\n\n## License\n\n[Apache 2.0](./LICENSE) — see [`NOTICE`](./NOTICE) and [`TRADEMARKS.md`](./TRADEMARKS.md).\nCreated by **Nicolas Touron** at **Carrara Labs**.\n","readmeFilename":"README.md"}