ContextStream
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Stop context loss for coding agents: memory and search for Cursor, Claude Code, Codex, Grok, Windsurf, and the rest.
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- Developer Tools, AI, Knowledge Base, Search
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…auth tokens live in the session store……never edit generated migrations……webhook retry backoff……deploy rollback steps……auth tokens live in the session store……never edit generated migrations……webhook retry backoff……deploy rollback steps…
DECISIONauth tokens live in the session store·GUARDRAILnever edit generated migrations·PRIOR FIXwebhook retry backoff·DECISIONuse signed session handoff·LESSONrun rate-limit suite first·RUNBOOKdeploy rollback steps·DECISIONauth tokens live in the session store·GUARDRAILnever edit generated migrations·PRIOR FIXwebhook retry backoff·DECISIONuse signed session handoff·LESSONrun rate-limit suite first·RUNBOOKdeploy rollback steps·
Same agent and repo, memory connected: 23/24 vs 14/24.
Full 500-run result: matches Zep, beats supermemory.
A useful file reached the top 10; a best-answer file did so 93.83%.
Passed when the needed runbook or decision was not in code.
Read the benchmark results →See why search and memory work better together →
LongMemEval-S comparison between ContextStream and published memory systems
StandingMatches Zep within the 95% confidence interval and leads supermemory by 4.6 points.
† ByteRover used a Gemini judge, so its reported score is shown but not ranked against the official GPT-4o results. Competitor scores are vendor-published.
Code-search useful-file and best-answer Recall at 10 comparison
StandingLeads this independently judged relevance comparison on both useful-file and best-answer recall.
Local baselines still win speed: roughly 12–13 ms p50 versus 95 ms hosted.
You already explained this. Your next agent didn't hear it.
You spend the next session repeating work the last one already settled.
You type the same repo explanation for the third time this week.
You re-correct a mistake you already corrected.
With the same agent and repo,23 of 24 tasks passedwith memory connected, compared with 14 of 24 without it.
ContextStream keeps project memory alive across people, tools, sessions, and AI agents.
Decisions, fixes, and corrections are saved automatically and scoped to the right repo.
Your next session loads it before the first edit
The right project memory is ready before your agent changes code.
Each correction, fix, and decision improves what comes next.
Shared project memorywhere the work happens.
One memory layer, three ways in: a stream of what your project learned, a map of how it connects, and portable bundles for handing context to the next person or agent.
Stop writing context docs. See what got decided. Review it in seconds.
Stop answering “What will this touch?” Decisions are mapped to the files they affect.
contextstream.io/c/2k9J7q· scoped · 24h
Onboard without the meeting. Every link is scoped and revocable. It expires on schedule.
Works inside Claude Code, Cursor, Codex, Cline, and Windsurf.
The same project memory follows you across tools (via MCP), so you can switch agents without losing what your project knows.
Claude CodeCursorCodexClineWindsurfMCP clients
Protocol details →·ContextStream for Buzz →
We asked: How did contextstream help you?
“ContextStream gave me the right context at the right moment, helping me move faster and make confident decisions without retracing old work.
It kept the entire workflow grounded and continuous—from the first question to the final result.”
◈gpt-5.6-sol maxAI agent · session feedback
Start small. Let project memorycompound.
Persistent memory across every tool you use. Your project context follows you.
- 1 user · 1 concurrent job
- Your project memory follows you between tools
- Works with MCP, Cursor, Claude Code, and ClineChoose Pro
Review fewer wrong edits. Your agent sees what a change touches before editing.
- Everything in Pro
- Your agent sees the impact before it edits
- Fewer wrong edits make it to review
- Your agent understands deeper project historyChoose Elite
Nobody re-explains the repo to a new hire. Shared context starts them ahead.
- Everything in Elite · 3-seat minimum
- New hires start with the context your team already built
- Team governance · roles & permissionsChoose Team
Start with Pro ($19/mo)Start with Elite ($49/mo)Try free →
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This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.
Provides perfect memory for AI-assisted development by capturing project context snapshots, enabling natural language search, evolution tracking, and code intelligence.
AI Agents framework with 64+ built-in MCP tools for search, memory, workflows, code execution, and file operations. Install via uvx praisonai-mcp
Persistent memory for AI assistants and coding agents across ChatGPT, Claude, Cursor, and other MCP-compatible tools.
Shared memory layer for AI coding agents with dream pipeline distillation, session grounding, and multi-instance coherence.
OpenMemBrain is the intelligent membrane for AI coding memory. It autonomously reads and learns from your coding sessions — you never have to tell it what to save. It selectively absorbs project knowledge, blocks secrets, filters noise, resolves conflicts, and persists only what matters.
Hosted shared memory for coding agents: what one connected agent learns, other connected agents can recall.
Shared memory for coding agents. Stop re-explaining your codebase every session. Hosted MCP at https://teamshared.com/mcp with email/OTP Connect.
Governed memory for coding agents with trust lifecycle, conflict detection, staleness tracking, and health scoring. SQLite + FTS5, zero infrastructure. Works with Claude Code, Cursor, Codex, Windsurf.
Searching and access your AI coding sessions from Claude Code, Gemini CLI, opencode, and OpenAI Codex.
Persistent project memory + architectural decisions + pre-execution safety hooks for Claude Code. Local-only storage, multi-repo workspace, automatic knowledge extraction via background auditor.
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