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Alternatives
Software like RecallOS
What else does this job. Matched on what each project does, not on who links to whom.
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- Recall™recall.worksRecall™ is an open reference architecture for durable memory, audit, and continuity in AI coding agents. It is designed around the problem that modern agents are stateless: each conversation starts cold, and memory, audit, and long-term context depend on what the host platform keeps or a chat transcript preserves. The site describes it as a way to turn an agent into something that reads a project log before acting, rather than relying on its own short session history. Its documented components are memory, local compute, vault, guardrails, brain backup, and continuity. The architecture uses hot, warm, and cold context tiers and a networked-brain pattern. The brain is described as a vector database that can scale to tens of thousands of chunks of knowledge, and the site says the log lives on disk, in a vector brain, and in immutable cloud storage. It also mentions a cold-start protocol, overnight backup, and a small set of conventions that work with about 600 lines of glue. The reference implementation is shown with VS Code, GitHub Copilot Chat, an object-storage backend, and a local open-weights model running on a consumer GPU. The site also says it is not bound to those components and can be swapped freely. A quickstart is provided with three commands, along with links to the whitepaper, GitHub, and comparison material that references Cursor, Cline, Aider, Continue.dev, LangChain, and AutoGen. Recall™ is free to read, free to use, and free to adapt. The whitepaper is shared freely, and the reference implementation is permissively licensed under MIT. The site also notes that attribution is appreciated and that the trademark application is pending.
- Recallrecallmcp.comRecall is a memory-as-a-service system for Claude Code and other Model Context Protocol clients. It is built to give Claude a permanent memory store that survives session restarts and context compaction, so earlier decisions, patterns, preferences, and tasks can be retrieved in later sessions. The product’s core behavior is automatic memory capture and restoration through Claude Code hooks. According to the documentation, install the plugin once and four hooks handle context capture and restore on every session with no prompting required. Recall also supports cross-session workflows with named threads, automatic consolidation of similar memories while keeping originals as history, persistent to-do lists with priority levels, and semantic search based on vector embeddings and cosine similarity. It organizes memories by types such as decisions, patterns, preferences, and errors, and it includes real-time knowledge sharing so one Claude can learn something and other instances can know it immediately. Recall is described for developers who want AI agents to remember conversations, learn patterns, and maintain context across sessions, projects, and teams. The page gives examples that include multi-session continuity, deployment monitoring, cross-session bug hunts, automatic decision records, multi-project switching, and sprint tracking. It also states that webhook ingestion can receive events from GitHub, Stripe, Sentry, Slack, Linear, PagerDuty, Discord, or any custom system and route them into Claude sessions, with HMAC signature verification, event history, replay, and audit trails. Delivery is through a Claude Code plugin, MCP support for Claude Desktop and other MCP clients, and a REST API with CRUD operations, search, and batch processing. The MCP configuration shown uses the URL https://recallmcp.com/mcp. Pricing is shown as free on the site, and the documentation mentions a Get Started Free option. The page also states that it is SOC 2 ready, uses AES-256-GCM encryption at rest with per-tenant keys derived via HKDF, supports complete data isolation per API key, and offers seven embedding providers: Voyage AI, Cohere, OpenAI, Deepseek, Grok, Anthropic, and self-hosted Ollama.
- Remind AIrecallmemory.ioRemind AI is an open-source desktop tool that uses AI to capture and organize your digital activity as a personal memory system. It runs locally on your device, ensuring privacy, and provides an API for integration. Ideal for users seeking to optimize workflow and recall tasks without cloud dependency.
- cortex-recallgithub.comcortex-recall is an open-source Python package that equips AI agents with a four-layer cognitive memory system, including persistent recall, semantic search, knowledge graph integration, and learned evolution. It enables advanced retrieval-augmented generation and memory for agent frameworks.
- Recallrecall.itRecall is a personal AI-powered knowledge base that lets users save, summarize, and chat with their articles, videos, podcasts, PDFs, and notes. It integrates with multiple AI models and offers smart organization, browser extensions, and apps for all major platforms. Designed for professionals and individuals who want to manage and interact with their knowledge efficiently.
- AgentRecallagentrecall.cloudAgentRecall is an open-source SDK that equips AI agents with persistent, intelligent memory, allowing them to store, search, and recall information across sessions. It supports graph relationships, semantic search, and multi-agent scenarios, making it ideal for developers building advanced AI agent systems.
- observational-memorygithub.comobservational-memory is an open-source CLI tool that provides cross-agent observational memory and local search capabilities for AI agent frameworks. It integrates with tools like Claude Code and Codex for enhanced agent collaboration.
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