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• genpark-agent-session

  Alpha-Park

  F

  license

  -Not graded

  quality

  B

  maintenance

  Enables autonomous agents to tokenize session context windows and compact dialogue history deterministically, exposing this capability to MCP-compatible clients like Claude Desktop and Cursor. Helps manage context length and reduce token usage in agent sessions through a zero-dependency Python MCP server.

  Updated 21 days ago (2026-09-14 10:00 UTC)

  7

  -
• 

  genpark-agent-context-dynamicofficial

  Alpha-Park

  F

  license

  -Not graded

  quality

  B

  maintenance

  Enables MCP-compatible clients and autonomous agents to dynamically compress long-horizon context by pruning verbose tool outputs, HTML boilerplate, and semantic redundancy by 40-70%. It reduces token burn and latency through deterministic, zero-dependency processing.

  Updated 7 days ago (2026-09-28 10:21 UTC)

  7

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• 

  genpark-agent-context-dynamicofficial

  alphaparkinc

  F

  license

  -Not graded

  quality

  B

  maintenance

  Enables AI agents and MCP-compliant clients to dynamically shrink long-horizon context windows, pruning verbose tool outputs, HTML boilerplate, and semantic redundancy by roughly 40-70% without frontier LLM round-trips. Runs deterministically as a zero-dependency Python stdio server, accepting a payload plus optional compression and risk-bound options.

  Updated 7 days ago (2026-09-28 10:21 UTC)

  7

  -

• genpark-agent-long-horizon

  Alpha-Park

  F

  license

  -Not graded

  quality

  B

  maintenance

  Enables deterministic, zero-dependency long-horizon conversational memory compaction and episodic anchor extraction for AI agents, with native MCP protocol support and structured JSON telemetry output.

  Updated 24 days ago (2026-09-10 23:55 UTC)

  7

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• Context Engine

  melonelish

  A

  license

  -Not graded

  quality

  D

  maintenance

  A task-aware context compression layer for Agent workflows, RAG pipelines, and AI Coding assistants, reducing noisy logs, retrieval chunks, and code context into high-signal LLM inputs via CLI, Python SDK, and MCP.

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  352

  MIT

• agentfit-mcp

  MukundaKatta

  A

  license

  A

  quality

  D

  maintenance

  Lets Claude Desktop, Cursor, Cline, Windsurf, Zed, or any other MCP client estimate token counts and fit a chat history into a model's context budget on demand.

  Updated 2 months ago (2026-08-01 07:45 UTC)

  3

  37 npm

  1

  MIT