Agent zawe zishobora kwibagirwa.
Engram iribuka.
AI Agent zo gukora kode zitangira buri gihe. Zikemura amakosa amwe, zisubira gushaka amategeko amwe, kandi zirengagiza ibyo abo mu itsinda bavumbuye. Engram ibikosora. Urwego rumwe rw'ububiko busangiwe ku ba Agent bose mu itsinda ryawe.
Ikora n'ibikoresho byose bihuje na MCP
Tangirira ubuntu
Agents ntibakeneye gukora paid account ubwabo. Workspace owner arasign up, agatumira teammates, agaha buri agent member API key ikwiye.
Ubwonko bumwe. Agent zawe zose.
Mu modeli, ibikoresho, n'abagize itsinda.
Itsinda ryawe rikoresha ibikoresho bitandukanye bya AI. Claude Code hano, Cursor hariya, Gemini cyangwa Antigravity ahandi. Bashobora gukomeza ibikorwa byabo, ariko ntibazi icyo abandi bize. Na Engram, basangira ubwonko rusange. Icyo umwe avumbuye, bose baracyibuka.
Engram
Ubwonko Rusange
Nta Engram
❌ Claude akosora ikosa saa tatu z'igitondo. Codex ahura ku kosa rimwe saa munani.
❌ Agent w'umugenzi wawe yiga amategeko. Agent wawe ntiyamenya.
❌ Agent bashobora gukomeza akazi kabo, ariko ntibazi icyo abandi bize.
❌ Iyo ikiganiro kirangiye, ubumenyi burarimbutse.
Hamwe na Engram
✅ Claude akosora ikosa saa tatu. Ku isaha ya 9:01, buri agent mu itsinda ryawe azi igisubizo.
✅ Amategeko atemba mu buryo bwikora hagati y'abagize itsinda, ibikoresho, n'imishinga.
✅ Buri nama itangira aho iyibanjiriye ihagarikiye. Ubumenyi buriyongera.
✅ Itsinda ryawe uko rikora, ni ko buri agent ahindura ubwenge.
Ubwonko rusange mu bikorwa
Reba modeli 3 zitandukanye za AI ziga ku zindi mu gihe nyacyo. Claude avumbura, Cursor yemeza, Gemini cyangwa Antigravity igeneralize.
Si simulation. Ni uko Engram ikora muri production uyu munsi.
MCP ni iki?
Ubuziranenge butuma Engram ishoboka.
Ubuziranenge bufunguye bwa Anthropic
MCP (Model Context Protocol) ni ubuziranenge bufunguye bwakozwe na Anthropic. Butuma AI agent zishobora guhuzwa n'ibikoresho byo hanze n'amasoko y'amakuru binyuze mu interface yoroshye kandi ikoreshwa hose.
USB ya AI
Bitekereze nk'USB ya AI: ubuziranenge bumwe, buri gikoresho gikora. Nta guhuzanya by'umwihariko, nta SDK z'abanyabwite, nta guhambirwa n'umutangabikorwa. Niba igikoresho cyawe kivuga MCP, gikora.
Engram ni MCP server
Buri gikoresho cya AI gihuje na MCP gishobora guhuzwa na Engram. Claude Code, Cursor, Gemini, Antigravity, Copilot, OpenCode, Windsurf, Devin. Niba gishyigikira MCP, gishyigikira Engram.
Nta mbaraga zo guhuzanya
Nta SDK irakenewe. Nta kode yo guhuzanya idasanzwe. Ongeraho Engram kuri MCP config ya agent yawe kandi ibone ibikoresho 8 bishya by'ububiko ako kanya.
Uko bihuzwa
Agent Yawe
Claude, Cursor, n’ibindi
Engram
MCP server
Ububiko bw'Itsinda
PostgreSQL + pgvector
Kubera iki amadosiye y'iboneza atari ahagije?
CLAUDE.md, .cursorrules, AGENTS.md, .windsurfrules. Ikibazo cyiza. Dore igisubizo cy'ukuri.
| Ibirimo | Dosiye z'igenamiterere CLAUDE.md.cursorrulesAGENTS.md | Mem0 | LangMem | Engram |
|---|---|---|---|---|
| Ihoraho hagati y'inama | Igice | ✓ | ✓ | ✓ |
| Bisangiwe n'itsinda | ✕ | ✓ | Igice | ✓ |
| Mu bikoresho byose (Claude + Cursor + Gemini) | ✕ | Igice | Igice | ✓ |
| Yiga ku bisubizo | ✕ | ✕ | ✕ | ✓ |
| Guha amanota y'icyizere | ✕ | ✕ | ✕ | ✓ |
| Kumenya ibisazaguye | ✕ | ✕ | ✕ | ✓ |
| Gushakisha by'insobe | ✕ | ✓ | ✓ | ✓ |
| Igihe cyo gutegura | 0 (bisanzwe bihari) | Iminota 5-10 | Bisaba app wiring | Amasegonda 30 (igenamiterere ya MCP) |
| Igiciro | Ku buntu | Ku buntu kugeza $249/ukwezi | Código abierto / plataforma | Ku buntu kugeza $99/ukwezi |
Impanuro: Ntibisabwa ko uhitamo. Engram ikora hamwe na dosiye zawe z'igenamiterere (CLAUDE.md, .cursorrules, AGENTS.md). Koresha dosiye z'igenamiterere ku mabwiriza y'umushinga. Koresha Engram ku bumenyi bw'itsinda bwiyongera mu gihe.
Ububiko bw'agent bumwe buhindura ubwenge mu gihe. Ibindi bikoresho byose bibika kandi bigarura. Engram ibika, igarura, kandi yiga. Iyo ububiko bufashije, icyizere cyabwo kiriyongera. Iyo budafashije, kigabanuka. Mu gihe, ubumenyi bwiza buramanuka hejuru.
Workspace ni umupaka wa team
Koresha workspace imwe kuri team. Repo na project names bitunganya memory imbere yayo. Tumira teammates muri dashboard kugira ngo buri wese agire key ye.
Repo ya frontend
Tools
API repo
Tools
Repo ya mobile
Tools
Workspace isobanuye iki
- ✓Workspace ni umupaka wa private memory kuri team cyangwa company.
- ✓Repo na projects bitunganya memories imbere y’uwo mupaka.
- ✓Tumira teammates muri dashboard kugira ngo buri wese akoreshe key itandukanye.
- ✓Agents muri workspace imwe bashobora reuse private lessons hagati ya repos.
- ✓Workspaces zitandukanye ziguma isolated; public memory ishobora kongera quality y’ibisubizo.
Tangira imbere, ntabwo kuva ku busa
Buri workspace nshya itangira na memories rusange 100,000 zifite inkomoko ku bikoresho bya agent, MCP, RAG/search, security, ops, engineering docs na product/devex.
Uburyo bwemejwe ku mirimo isanzwe. Urugero: "Ishusho y'inzira ya API: try-catch wrapper, gusuzuma ibinjira, kugenzura kwemeza, hanyuma logic y'ubucuruzi." Amashusho agukubiye UKO ukora ikintu neza.
Amategeko y'itsinda n'ibyiciro byo gukora kode. Urugero: "Buri gihe koresha migration za Prisma, ntukoreshe SQL ALTER TABLE ifunguye." Amategeko abika kode yawe iteye kimwe.
Ibintu bimenya cyangwa bikutungura. Urugero: "async/await muri forEach NTIBIKORA uko utekerezaga. Koresha for...of." Imitego igufasha kutagomba amasaha menshi y'ikosa.
Ibikosora byageragejwe ku bibazo bisanzwe. Urugero: "Kutahuza neza muri Next.js: koresha useEffect ku logic ya client gusa." Ibisubizo biguha igisubizo, ntabwo igipimo gusa.
Ubumenyi buhariye verisiyo ya frameworks. Urugero: "Prisma 7 isabwa ishusho y'adapter PrismaPg." Ibiteganijwe birinda ibitunguranye by'igurishiriza.
Amayobora intambwe ku ntambwe ku mirimo igoye. Urugero: "Ubushobozi bwo gusuzuma kode: intambwe 15 kuva gukurura ishami kugeza kwemeza." Ubushobozi buha agent yawe ubuhanga ubukeneye.
Amasoko: Igikubiyemo: React, Next.js, Vue, Angular, Python, Go, Rust, TypeScript, PostgreSQL, Docker, Kubernetes, AWS na 25+ ikoranabuhanga byindi. Nanone ubushobozi bw'ubucuruzi: Ubuyobozi bw'ibicuruzwa, Ubucuruzi, Kwamamaza, HR, Amategeko, Imari n'ibindi.
Abandi agents batangira nta kintu bafite. Uwawe atangirana na memories rusange 100,000 zifite inkomoko, guides 20 za step-by-step, na memory yihariye ya team ikura kuva ku munsi wa mbere.
Memory banks ebyiri. Agent umwe uzi gukora neza.
Ubumenyi bwa public kuri bose. Ubumenyi bwa private ku ikipe yawe.
Public memory bank
- ✓Memories rusange 100,000 zifite inkomoko
- ✓Agent tools, MCP, RAG/search, security, ops na devex
- ✓Guides 20 za step-by-step
- ✓Best-practice patterns, gotchas, solutions na evidence checks
- ✓Ivugururwa uko public bank ikura
- ✓Disponible para todos los usuarios de Engram
Private memory bank
- ✓Ubumenyi bwihariye bw’ikipe yawe
- ✓Conventions zihariye za codebase yawe
- ✓Decisiones internas de arquitectura
- ✓Aprendizajes de incidentes y post-mortems
- ✓Ntibigera bisangizwa hanze ya workspace yawe
- ✓Byatandukanijwe, encrypted, kandi bigarukira kuri workspace
Private memory mbere. Public knowledge yuzuzamo ibibura.
Engram ibanza gushaka knowledge ya workspace yawe, hanyuma ikongeramo public practices zifite sources na guides iyo bifasha.
Biba biteguye mu byiteguye
Nta SDK. Nta boilerplate. MCP gusa.
Shyiramo Engram
Shyira command imwe muri terminal. Engram yandika MCP config kuri Claude Code, Cursor, Gemini cyangwa Antigravity, Codex, OpenCode, na VS Code/Copilot.
Nta guhindura JSON n’intoki. Nta SDK. Setup command ikora config files.
Restart, hanyuma sobanurira agent akazi
MCP clients akenshi zipakira tools iyo session nshya itangiye. Restart AI tool yawe, hanyuma uyibwire project na task iri gukora.
Usa lenguaje normal. Menciona proyecto, repo, rol, mercado, stack y la tarea inmediata.
Tangira na engram_start
Agent yawe ihamagara engram_start rimwe ikabona setup guidance, private memories bijyanye, public knowledge, na skill guides.
Nyuma ikora bisanzwe: ibika learnings ziramba, ikora recall mbere yo gufata decisions, ikanatanga outcomes.
Bigeze ku ikipe yawe yose
Umukozi Wenyine
Claude Code na Cursor bawe basangira ubwonko bumwe. Hindura ibikoresho udakuriwe umwanya.
Itsinda Rito (3-5)
Agent wa Alice avumbura ikibazo. Agent wa Bob akiga. Nta butumwa bwa Slack bukenewe. Nta rupapuro rwa wiki rwanditswe.
Itsinda Rikura (10-20)
Repo nyinshi, ibikoresho byinshi. Amategeko aguma ari amwe mu muryango wose nta nama cyangwa wiki.
Ikigo (20+)
Agent zirenze 40, modeli zitandukanye. Ubumenyi bw'ikigo butarigera bwagenda.
Agent zawe zimaze kuba z'ubwenge.
Engram iziha uburambe.
Benchmark ifunguye
Byapimwe ku mirimo nyayo ya memory mu bipimo bibiri
Dupima Engram mu buryo bubiri: niba ibona evidence ikwiye, kandi niba LLM isubiza neza ikoresheje iyo context.
Dutandukanya evidence retrieval na answer accuracy. Byombi bikoresha LoCoMo ifunguye, ariko bipima ibice bitandukanye bya memory loop.
Gushaka ibimenyetso muri LoCoMo
Run yuzuye ifunguye. Scores zerekana niba evidence ikenewe iri muri memories zagaruwe.
| Sisitemu | MRR | R@1 | R@50 | R@200 |
|---|---|---|---|---|
| Engram | 0.5345 | 40.63% | 92.19% | 97.66% |
| BM25 | 0.4676 | 34.57% | 78.19% | 85.74% |
| AgentMemory | 0.4270 | 33.20% | 79.10% | 84.96% |
| LangMem / LangGraph | 0.4002 | 28.32% | 83.98% | 94.53% |
| Mem0 OSS | 0.3999 | 28.32% | 83.92% | 94.27% |
Gusuzuma ibisubizo muri LoCoMo
Isuzuma rya Codex/self-review ku mirimo 98 imwe. Ipima niba igisubizo cyakozwe kivuye muri context yagaruwe ari cyo.
| Sisitemu | Igisubizo top-50 | Igisubizo top-200 | ugereranyije na model y'ibanze |
|---|---|---|---|
| Engram | 66.33% | 59.18% | +56.13pp |
| Session-file BM25 | 61.22% | 53.06% | +51.02pp |
| Mem0 OSS | 55.10% | 57.14% | +44.90pp |
| BM25 | 48.98% | 44.90% | +38.78pp |
| LangMem / LangGraph | 46.94% | 52.04% | +36.74pp |
| No memory | 10.20% | 9.18% | baseline |
Ibiciro byoroshye kandi bisobanutse simples y claros
Tangirira ubuntu. Upgrade igihe agents bakeneye memory nyinshi, teammates, na API capacity.
Ubuntu
Gerageza Engram mu mishinga yawe bwite.
- ✓private memories 500
- ✓developer 1
- ✓100 llamadas API al día
- ✓Gushaka text + public skill packs
- ✓Soporte comunitario
Developer
Ku solo developers baship products nyazo.
- ✓private memories 5,000
- ✓developers 2
- ✓2.000 llamadas API al día
- ✓Búsqueda vectorial cuando hay embeddings
- ✓Visibilidad de uso
- ✓Ubufasha kuri email
Team
Para equipos que comparten inteligencia entre agentes y repos.
- ✓private memories 25,000
- ✓developers 7
- ✓10.000 llamadas API al día
- ✓Transferencia de memoria entre repos
- ✓Panel de equipo
- ✓Ubufasha bwihuse
Scale
Para empresas con infraestructura AI seria.
- ✓private memories 100,000
- ✓developers 30
- ✓50.000 llamadas API al día
- ✓Planificación SSO / SAML
- ✓Planificación de opción self-hosted
- ✓Conversación de SLA