Local-First

Skadoosh is a dual-licensed (MIT OR Apache-2.0) Rust crate that runs a complete voice agent on your own machine: cpal microphone capture, Silero VAD, whisper-rs speech recognition, a streaming Ollama LLM, clause-level splitting, and ONNX Kokoro-82M text-to-speech back out through your speakers — with no API keys and no network calls. It is the most feature-complete all-local Rust voice agent published to crates.io, and it is also effectively unmaintained, because its documented GitHub repository returns HTTP 404. ...

OpenMausBot is a free, open-source alternative to Grok Bot that reuses the Claude, Codex, or grok CLI subscriptions you already pay for and gives every bot its own computer — a cloud Linux desktop, an isolated local VM, or your own host machine. Instead of a $120-per-month vendor bundle, it manages agents like contacts in a chat app, each with its own model, memory, and personality, while keeping your transcripts, keys, and credentials local in ~/.openmausbot. ...

A local-first control plane agent like Swarm watches every Claude Code session on your machine live so you can see each agent’s tool calls, reasoning, token spend, and cost from one dashboard instead of cycling through terminal tabs. It keeps a ledger of who holds which task and worktree, turns CLAUDE.md “never do X” prose into real permission decisions, and runs entirely offline with no account and no telemetry. What Is a Local-First Control Plane for Coding Agents? A control plane is the management layer that decides how the agents underneath it behave. In IT operations, the control plane and the data plane are separated: the data plane does the work, while the control plane watches, meters, and governs. ra3orblade/swarm applies that same separation to AI coding agents, with one crucial twist: the entire control plane runs on your own machine. ...

Coding agent experience management is the practice of turning the session history your local coding agents generate into a searchable, migratable, and reusable asset instead of leaving it as scattered log files. Open-source tools such as AgentHist bring sessions from Codex, Claude Code, OpenCode, and Pi into one library for browsing, searching, exporting, and selective importing — including cross-machine migration and cross-agent conversion. AgentHist is a TypeScript CLI, MIT-licensed, supporting Linux, macOS, and Windows, created August 2026 (source: GitHub API). ...

Coding agents lose context across repositories because a session is scoped to one repo while the system under investigation spans many. WCTX is a local-first MCP server that solves this by importing finished coding-agent sessions into a SQLite + FTS5 store, linking repositories with typed relations, and exposing seven tools that let a fresh session search prior evidence with git-based freshness verdicts. No cloud account, no embeddings, no transcript upload. ...

Simmis is a self-hosted workspace where people and AI agents share a single, versioned, queryable memory — chat rooms, wiki pages, knowledge bases, a double-entry ledger, and a code repository all live on one substrate instead of being scattered across siloed tools. Built in Clojure on the replikativ stack, it treats humans and agents as the same kind of participant, so @mentions, governance, and history work identically across both. It is an early, MIT-licensed “release early” project that is used daily but still has rough edges. ...

AgentBrain is a local-first, long-term memory tool for AI agents that stores everything as a plain Markdown vault. Instead of locking your agent’s memory into a proprietary database or cloud API, it gives you an append-only Markdown folder you can read, edit, grep, and version with Git. It uses index-first retrieval with CJK-aware BM25 to stay token-efficient, and enforces human-approved consolidation to prevent multi-agent write conflicts. What Is AgentBrain? A Local-First Markdown Memory Vault for AI Agents AgentBrain is an open-source Python tool (Python 3.10+) that gives AI agents a durable, local-first memory layer stored as plain Markdown files. The core idea is simple: an agent’s long-term knowledge should live in a human-readable folder on your own machine, not inside a black-box database or a third-party cloud service. ...

AgentProof is a free, local-first proof harness that verifies AI-generated code and diffs by detecting the project type, running safe local checks, launching the app, crawling routes with Playwright, and scoring launch readiness — all without uploading your source, using an API key, or trusting a cloud vendor. For AI code CI verification, it answers one question the chat transcript never can: did this app actually work, or did it just look good in the transcript? This review covers how AgentProof works, its GitHub Action score gate, its pricing, and how it compares to ProofPack and the broader “proof beats diffs” movement. ...

A knowledge inbox for AI agents and Obsidian is a local-first ingestion pipeline that turns raw inputs — links, PDFs, videos, screenshots, and plain text — into structured Markdown knowledge cards inside your own vault. Instead of dumping every snippet into cloud read-it-later apps, it normalizes all sources through a single pipeline, enriches them with OCR, transcription, and auto-tagging, then stores everything as human-readable files plus a queryable SQLite index. Your AI agents read the same local store your notes live in. ...