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Bernstein vs GPTResearcher: quick decision guide
gpt-researcher adapter for Bernstein.
Page built on 2026-09-26 from data/adapters-meta.json. Every claim below links to its primary source.
Install both
GPTResearcher
No install command recorded in the bernstein adapter source as of 2026-09-26.
Bernstein
pipx install bernsteinApache-2.0. Deterministic Python scheduler.
Feature matrix
| Capability | GPTResearcher | Bernstein |
|---|---|---|
| Install method | Not recorded | pipx install bernstein |
| License | Not recorded | Apache-2.0 |
| Authentication | Not recorded | Per-agent credential scoping (no shared key) |
| Multi-agent orchestration | One agent in a terminal | GPTResearcher plus 40+ other adapters in parallel worktrees |
| MCP support | Not measured | Yes |
| Parallel-safe in worktrees | Not measured | Yes (designed around git worktrees) |
| HMAC-chained audit log | No | Yes (RFC 2104 SHA-256 chain in .sdd/) |
| Deterministic scheduler | Not applicable (single-agent CLI) | Yes (Deterministic Python scheduler) |
Adapter source: src/bernstein/adapters/gpt_researcher.py
Verifiable facts
The brief for this surface requires at least three facts that a reader can verify against a primary source. The list below is built from the bernstein adapter source and, when available, the upstream project's own pages.
- Bernstein ships a GPTResearcher adapter at src/bernstein/adapters/gpt_researcher.py that wraps the upstream CLI as one of 42 routable agents. [source: bernstein adapter source, as of 2026-09-26]
- Bernstein is an open-source Multi-agent orchestrator licensed Apache-2.0, with a deterministic Python scheduler that routes work across CLI agents in parallel git worktrees. [source: bernstein repo, as of 2026-09-26]
- Bernstein records lineage and a replay journal on every run; with the audit log enabled it also writes an HMAC-SHA256 chained record under .sdd/ that lets a reviewer replay every routing and quality-gate decision. [source: bernstein repo, as of 2026-09-26]
Where GPTResearcher fits in Bernstein
Bernstein registers GPTResearcher under the slug "gpt-researcher" and the registry name "gpt_researcher". The adapter source lives at src/bernstein/adapters/gpt_researcher.py in the bernstein repo and was last touched at build time 2026-09-26. The GPTResearcher adapter file is 80 lines and 2,924 bytes long, fingerprinted 89362dd8b0c715e9 (first 16 hex chars of SHA-256). No upstream GitHub repository is recorded in the bernstein adapter for GPTResearcher; refer to the upstream vendor's documentation when auditing. The bernstein adapter file for GPTResearcher does not yet carry a "Last verified against upstream" line; this means the adapter still tracks an unpinned upstream binary. Bernstein routes tasks to GPTResearcher when its pass rate on similar work clears the configured threshold, otherwise the deterministic Python scheduler picks a different adapter from the 40+ adapter catalog.
Adapter source excerpt
The module docstring of the GPTResearcher adapter, as it stands in the bernstein repo. Punctuation is normalised for the web; the wording is the author's. Length: 866 characters.
gpt-researcher adapter for Bernstein. Runs gpt-researcher's deep-research mode on the task prompt and records the report and every source URL it read as a verifiable run artifact (:mod:`.deep_research_artifact`). All three of gpt-researcher's model roles (fast, smart, strategic) go through the agent's own gateway endpoint and key. Operator settings: * ``BERNSTEIN_GPT_RESEARCHER_OPENAI_BASE_URL`` / ``_OPENAI_API_KEY`` / ``_MODEL`` - required; the gateway endpoint, this agent's key, the model; * ``BERNSTEIN_GPT_RESEARCHER_PYTHON`` - the interpreter gpt-researcher is installed in (default ``python3``); * ``BERNSTEIN_GPT_RESEARCHER_EMBEDDING`` - embedding model served by the same gateway (default: gpt-researcher's own); * the retriever settings gpt-researcher reads itself (``RETRIEVER``, ``TAVILY_API_KEY``, ...) and its depth knobs are let through unchanged.Adapter telemetry
| Registry name | gpt_researcher |
|---|---|
| Adapter class | GPTResearcher |
| Source file | src/bernstein/adapters/gpt_researcher.py |
| Source file size | 80 lines, 2,924 bytes |
| Source SHA-256 | 89362dd8b0c715e95b3645e292f5b2c1859be4d0fe05e2fd6e307b7a561e5e6c |
| Category bucket | openai-family |
| Upstream repo | Not derivable from adapter source |
| Upstream homepage | Not recorded |
| Last verified upstream | No "Last verified" line in adapter source |
| Operator-curated overlay | No (programmatic page) |
When to pick which
Choose GPTResearcher
Reach for GPTResearcher when the work is a single thread that fits one agent: in a single-process terminal session, designed for single-instance use per repo. Auth model is configured per upstream docs. You skip the orchestrator round-trip and get the smallest possible surface between you and the model.
Choose Bernstein
Wrap GPTResearcher under Bernstein when the goal splits into parallel tasks, when you want an HMAC-chained audit log on every routing decision, or when a deterministic Python scheduler (no LLM picking who runs what) is a hard requirement. Bernstein also runs Claude, Gemini, and Aider against the same plan so an OpenAI miss is caught by a cross-model verifier.
FAQ
Does Bernstein replace GPTResearcher?
No. Bernstein wraps GPTResearcher as one of 40+ CLI adapters and routes tasks to it based on per-task pass-rate history. GPTResearcher keeps running unchanged; Bernstein decides when it gets work.
Can I run GPTResearcher alongside other agents in the same repo?
Yes. Each agent runs in its own git worktree under .sdd/worktrees/{session_id}, so file edits never collide. Bernstein merges results back to the trunk only after the configured quality gates (lint, types, tests) pass.
Is this comparison page handwritten?
No. The template is fixed; every fact and every link is pulled from the bernstein adapter source in the master branch and (when available) the upstream project's own pages. The data extractor lives at scripts/gen-compare-data.mjs. No LLM writes the prose.