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Paste its GitHub repo and we list it after a quick review.
Lets AI coding assistants run semantic code search, symbol graph navigation, and persistent memory queries over an indexed codebase.
Indexes your codebase to provide AI clients with efficient, searchable code context while reducing token usage.
$claude mcp add code-context-engine -- uvx code-context-engine
Lets AI assistants semantically search and read indexed codebases, inspect file trees, and trace code relationships via MCP.
$claude mcp add codealive-mcp -- docker run -i --rm ghcr.io/codealive-ai/codealive-mcp:3.0.3
Provides context intelligence for AI coding agents by mapping repositories, resolving symbols, and estimating the impact of code changes.
$claude mcp add codecortex -- uvx codecortex-context-engine
Provides AI agents with long-term memory by capturing conversations verbatim and serving relevant context through a local hyperdimensional storage engine.
Provides deterministic code-graph context to AI coding agents by indexing repositories into symbols, calls, and type hierarchies.
Provides a local-first SQLite episodic memory engine that allows AI coding agents to maintain project state and architectural decisions across different models.
Compresses noisy logs, RAG retrieval chunks, and code context into structured, high-signal inputs optimized for LLMs.
$claude mcp add context-engine -- uvx melonelish-context-engine
Provides a local context engine that indexes repositories into code graphs and hybrid search to deliver budgeted, relevant code to AI agents.
$claude mcp add contextsmith -- uvx contextsmith
Provides long-term memory and a hierarchical cognitive engine for AI agents to maintain project context and state across sessions.
A biologically-inspired persistent memory engine that allows Claude Code agents to remember project decisions, context, and reasoning across sessions.
$claude mcp add zikkaron -- uvx zikkaron
Provides local grounded memory for coding agents, offering a verdict engine to verify if AI responses are supported by recorded facts.
Provides source-backed project context, memory, and code impact analysis to maintain agent workflow continuity.
$claude mcp add --transport http snipara-examples https://api.snipara.com/mcp/%7Bproject_slug%7D
An AST-aware semantic code search engine that retrieves code by intent and provides call-graph context for AI agents.
$claude mcp add semhood -- uvx semhood
Provides a token-budgeted, drift-aware memory engine that helps AI coding agents maintain long-term context and detect outdated configurations via Git webhooks.
Indexes local code repositories by symbol to provide precise context spans for LLMs using a hybrid lexical and embedding retrieval engine.
A local-first AI context engine that manages project knowledge, code maps, and episodic memories to provide structured context to AI assistants.
