Chroma

Claude-Mem is an open-source persistent-memory plugin and service for coding agents. It captures agent activity through lifecycle hooks, stores sessions, observations, and summaries in SQLite, and uses hybrid full-text and Chroma vector search to retrieve relevant context across sessions. Its MCP search workflow uses progressive disclosure: the agent first searches a compact index, then reviews a timeline, and finally fetches full observations for selected result IDs. A local worker service, managed by Bun, provides the HTTP API, search endpoints, and web viewer; the project also supports integrations with Claude Code and other listed agent environments, configurable context injection, private-content exclusion tags, and optional cloud synchronization. The repository states that it is distributed under the Apache License 2.0 and requires Node.js 20 or later, with Bun, uv, and SQLite used by the runtime. It can be installed through its npx installer or Claude Code's plugin marketplace.

Context Ontology Accelerator is an open-source semantic context layer for AWS and AI agents. It combines knowledge graphs, formal ontologies, rule-based systems, and modern AI in a Scan → Model → Serve workflow: it connects data sources, discovers schemas, enriches metadata, and ingests documents; induces and manages ontologies, defines metrics, and builds a unified semantic graph; then serves context through SPARQL federation using a Virtual Knowledge Graph, knowledge-graph traversal, queries, and MCP tools. The repository includes source-ingestion services for databases and documents, ontology induction and reasoning with HermiT and ELK, an Ontop-based Virtual Knowledge Graph, a context manager for query orchestration, and a React frontend. Access is controlled through namespace isolation and role-based authorization, with namespace-scoped roles and platform-level roles. The implementation uses Python and TypeScript, AWS CDK, Smithy-generated API contracts, and an Nx-managed monorepo; the project is licensed under Apache License 2.0.

MyContext is a local-first desktop app from openTrinity that builds a private personal work-context layer from sources such as instant-messaging conversations, documents, and meeting records. It stores local copies, indexes, source references, and derived context in an on-disk SQLite vault, then organizes them into a personal context graph linking people, projects, topics, events, conversations, and supporting facts. Its search and answer workflow combines local full-text search, semantic retrieval, and graph queries, with agents assembling answers from traceable source material and falling back to ranked local results when the agent runtime is unavailable. A digital-self workflow recalls relationship-specific context and communication history to draft replies, while sending, deletion, and other consequential actions require explicit user confirmation. The repository describes an Electron and React desktop architecture with source connectors, incremental ingestion, context processing, retrieval, knowledge-graph, persona, and isolated agent-runtime layers. MyContext is in developer preview and under active development; its README warns of compatibility-breaking changes and migrations that may require recollection. It is licensed under the Elastic License 2.0, which permits use, modification, and self-hosting but restricts offering it as a hosted or managed service to third parties.

Chromium is an open-source software project with a complex codebase used to examine the structure and behavior of real-world software systems, including its URL parser.

SCM is a local-first macOS application for searching photos and videos by visual content, visible text, and spoken dialogue. It indexes whole files with local vision models, segments videos into scenes so searches can jump to a timecode, runs Tesseract OCR for literal text matching, and uses Whisper transcripts for exact spoken-word searches. An optional local LLM can answer questions over extracted dialogue, OCR, and filename evidence with citations. The app imports files through manual selection, drag-and-drop, or watched folders. It content-hashes files for rename-proof deduplication, stores embeddings and media metadata locally, and can re-embed a library when the selected vision model changes. Model weights and language packs download once; subsequent inference runs offline, with no accounts, uploads, or telemetry. SCM is distributed as an Electron application for macOS, including a Homebrew cask and packaged DMG/ZIP builds.