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NeuralMind Use Cases

Walkthroughs for the most common “what do I actually do?” questions, organized by who you are and what you’re trying to solve. Each page is command-driven — copy, run, done.

Use case Best for Primary goal
Index any repo with just pip (no graphify) First-timers, CI, locked-down machines Nothing → queryable index in one install + one build
Does it work on your code? (5-minute benchmark) Evaluating whether to install at all Measured before/after on YOUR codebase
Claude Code user You use Claude Code daily Retrieval, session memory and lifecycle hooks in every session
Pick up where you left off Claude Code users who start a new session or /clear mid-task (v4.8.0+), and Hermes-Agent users with the plugin (v4.9.0+) A new session starts with a short recap of the last one’s prompts and edited files; neuralmind recap shows it
Hermes-Agent with code memory in every turn Hermes-Agent users, in the terminal or through the gateway (v4.9.0+) Related files and decisions added to every turn by a plugin, and the last session’s recap to a session’s first, with no tool call; neuralmind install-hermes-plugin sets it up
Cost optimization Teams or solos watching LLM spend climb Measure, reduce, and report savings — neuralmind savings --cost prices them in dollars (v0.45.0+)
Any LLM (ChatGPT / Gemini / local) You use non-MCP chats or a model-agnostic workflow Get NeuralMind context into any chat window
Offline / regulated work Regulated industries, air-gapped machines Local retrieval, no telemetry
CMMC CUI enclave Defense contractors indexing CUI source code MCP roles bound to OS accounts, encrypted storage verified (v4.7.0+)
Growing monorepo Codebase where old context goes stale fast Keep the index fresh with minimal effort
Multi-agent codebase You use multiple AI tools (Claude Code + Cursor + Hermes + OpenClaw) on the same project One shared associative memory across every agent; v0.6.0 live graph shows the union
Slim & sovereign: ChromaDB-free local stack Security-sensitive teams, tiny-footprint installs (v0.21.0+) Embed + search with zero ChromaDB — smaller deps, smaller index, fewer advisories
Branch-isolated memory & team baselines Heavy branchers, teams onboarding new devs (v0.24.0+) Keep feature-branch learning out of main’s memory; ship a shared baseline as a versioned bundle
Unified context engineering stack (NeuralMind + Ponytail + Headroom) Teams who’ve hit the ceiling on single-tool optimization Eliminate token waste at retrieval, transport, and generation simultaneously
Blast radius before a rename Anyone (or any agent) about to rename, re-sign, or delete a symbol (v0.42.0+) See every caller / importer / subclass a change would touch, before you edit — from the static code graph
Decision provenance: answer “why is it like this?” Anyone inheriting code whose rationale lives in someone’s head (v0.43.0+) Capture a decision in a Decision: git trailer; recall it with neuralmind why — the why stored where it can’t drift
Find the coverage that lies: mock-only endpoints Anyone with a green suite that still ships DB failures (v0.44.0+) neuralmind gaps classifies endpoints live-covered / mock-only / untested — catch the P2003 before the live smoke
Index a book or docs corpus Anyone pointing NeuralMind at prose rather than code (v3.4.0+) Scope the index to the corpus, skip the code graph, and re-index in seconds as you write — ingest-content --content-only
Recover from a stale code graph Repos with a committed or cross-OS graphify-out/graph.json, CI pipelines (v4.4.0+) Know in a second whether the index matches the code; get back in step with build --regenerate-graph
Keep decision memory honest across commits Teams and agents recording architecture decisions (v4.6.0+) A decision goes STALE when a commit changes its files; your agent is warned before it edits; restore brings back one that still holds
Find the decision behind the code when you don’t know its words Teams and agents asking about recorded decisions in their own words (v4.8.0+) A question finds the decision that answers it even when they share no word — hybrid keyword + meaning search, local model, measured on your own decisions
Govern what your team’s agents share Teams committing a team-memory bundle, and their reviewers (v4.6.0+) Set what a publish may share, retract an association for every teammate, verify and export the audit trail
Measure retrieval on your own repo Teams evaluating or tuning NeuralMind, CI (v4.5.0+) hit@1 / hit@5 / MRR against your own questions and gold files, read-only, with a history you can paste into an issue
Does NeuralMind earn its place on your repo? Anyone who has to justify keeping NeuralMind, including the agent that installed it (v4.14.0+) Replay past incidents as symptom-phrased gold questions, A/B the synapse layer with eval --synapse-ab, and track whether the gap grows as usage teaches it more
A/B-test a ranking change on your own repo Anyone turning on a research flag, contributors changing ranking, teams checking an upgrade (v4.6.0+) Score a ranking flag — or your own change — on your questions with neuralmind eval, then across six repos with the retrieval eval harness and a keep rule fixed in advance
Measure memory across a major refactor (field report) Anyone rebuilding a subsystem who wants to see the memory adapt Before/after snapshot recipe + real case study: 48.8× reduction, personal synapse edges 36→135 on a ~9.3k-node TypeScript SaaS platform. Edges growing shows the layer learning, not that it helps: eval --synapse-ab measures that

Not sure which applies? Start with the symptom / goal table in the main README.