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    Enables AI agents to autonomously manage and improve execution processes for repetitive task types by storing reusable task contexts with associated artifacts (practices, rules, prompts, learnings) and providing full-text search across historical best practices.
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    MIT
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    ContextLattice is an HTTP-first, MCP-compatible memory/context/task orchestrator that persists writes and returns fused recall from specialized stores with local-first defaults. Primary URL: https://contextlattice.io/ Install: https://contextlattice.io/installation.html Troubleshooting: https://contextlattice.io/troubleshooting.html
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    Apache 2.0
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    coldstart gives coding agents durable memory of a specific codebase, with no embeddings, no vector store, and no API key. Agents write notes after real tasks — what a file is for, how a flow spans files, which invariants hold — and those notes are surfaced automatically to a later session whose task matches, so nothing gets rediscovered from scratch. Every note is anchored to real files by content
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    MIT
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    Persistent memory and task board for Claude Code. 14 tools spanning projects, tasks, sessions, and activity logs — backed by Firestore, runs on the free tier. Handoff notes survive context compaction; the next session reads the last handoff and picks up where you stopped.
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    MIT
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    Marrow is a persistent multi-project memory backend that provides AI agents with MCP tools for semantic code navigation, task backlog management, and versioned artifact storage. It enables seamless, token-optimized context sharing and asynchronous handoffs between different AI models working on the same codebase.
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    MIT
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    Persistent shared memory for AI coding agents. Stores facts as entity/key/value triples with hybrid semantic search, task checkpoints, and conflict resolution — shared across Claude Code, Codex CLI, and GitHub Copilot.
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    AGPL 3.0
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    Persistent cloud memory for AI coding assistants. 28 MCP tools for semantic search, auto-learning, task tracking, correction patterns, knowledge graphs, and session replay across Claude Code, Cursor, Windsurf, Cline, and any MCP client. Encrypted at rest. Team shared memory with author attribution.
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    MIT
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    An MCP server for managing work logs, research results, and task checkpoints to enable seamless collaboration and state recovery between AI agents. It provides a persistent memory layer for tracking project history and resuming workflows across different sessions or tools.
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