Feynman — Research Agent Cheat Sheet
Install and run the open-source Feynman research agent — deep research, literature review, citation verification, and experiment workflows from the terminal.
What Feynman is
Feynman is an open-source, terminal-first AI research agent (MIT licensed, companion-inc/feynman). Point it at a question and it searches papers (via alphaXiv), crawls the web, runs optional compute in Docker, and returns source-grounded briefs with citations — not unsupported essay prose.
Built on the Pi agent runtime. Docs: feynman.is/docs.
MyGearHut uses Feynman for competitive intel, technical due diligence, and literature sweeps where "chatGPT said so" is not enough.
Four subagents (automatic dispatch)
| Agent | Job |
|---|---|
| Researcher | Gather evidence from papers, web, repos, docs |
| Reviewer | Critique gaps, severity-grade weaknesses |
| Writer | Structure drafts from notes |
| Verifier | Check citations, URLs, dead links |
You do not manually route them — workflows invoke the right mix.
Install (macOS / Linux / Windows)
curl -fsSL https://feynman.is/install | bash
Then configure a model provider:
feynman setup
Supports Anthropic, OpenAI, Google, OpenRouter, and others per docs. Pick the model your budget and quality bar agree on.
First run — interactive REPL
feynman
Inside the REPL, slash commands trigger workflows:
/deepresearch transformer architectures for protein folding
/literature [topic]
/audit [claim you want verified]
Type /help for the full workflow list on your installed version.
One-shot from shell
feynman deepresearch "Compare RAG chunking strategies for legal PDFs — pros, cons, citations"
Outputs land under project outputs/ (path may vary — check docs). Every research claim should carry a retrievable source URL.
Local workbench (optional GUI)
For chat + artifacts + notebooks in one UI:
feynman serve
Opens the standalone science workbench — useful when you want provenance trails and file browsing, not just terminal scrollback.
Core workflows (operator view)
Deep research
Best for: strategic questions, market/tech surveys, lit reviews.
/deepresearch [precise question with scope and date preference]
Ask for scope: "peer-reviewed only", "post-2023", "implementation-focused".
Literature review
Best for: annotated bibliographies before you write.
/literature [topic keywords]
Expect structured summaries with paper links — still verify critical claims yourself.
Replication / experiments
Feynman can plan and run experiments in Docker or cloud GPU environments when configured. Treat this as Yellow zone — human must review methods and safety.
Requires Docker installed locally for container paths; cloud paths need provider tokens per docs.
Audit / verify
Feed a draft or claim set; Verifier stresses citations and flags unsourced statements.
Environment variables (common)
| Variable | Purpose |
|---|---|
| Provider API keys | Set during feynman setup |
HF_TOKEN / HUGGINGFACE_HUB_TOKEN | Hugging Face Hub inspection tools |
| Docker socket | Local experiment execution |
Never commit keys; use shell profile or secret manager.
Prompt discipline for research agents
Feynman reduces hallucination but does not eliminate it. Front-load:
Scope: [narrow question]
Sources: peer-reviewed preferred; include grey literature if <5 papers
Output: executive summary + table of sources + open questions
Exclude: marketing pages unless noting bias
Date floor: [year]
Quality checklist before you ship a brief
- Every material claim has a URL or DOI
- You spot-checked top three sources manually
- Conflicting studies noted, not averaged away
- Methodology limits stated (sample size, benchmark choice)
- No confidential client data in prompts
Feynman vs generic chat
| ChatGPT / Claude chat | Feynman | |
|---|---|---|
| Citations | Inconsistent | Designed source-grounded |
| Paper search | Generic browse | alphaXiv integration |
| Workflow | Ad hoc | Slash research pipelines |
| Compute | Limited | Docker / GPU paths |
Use chat for drafts; use Feynman when citations and method matter.
MyGearHut research loop
- Frame question in one paragraph (ICP for intel)
- Run
/deepresearchwith date + source constraints - Human pass — read top sources, not just summary
- Extract actions for your Notion/CRM — Feynman does not replace judgment
- Archive output path in project wiki
Install once, cite everything. Browse more free guides at MyGearHut library.